Search results for 'Human Machine Systems Design' (try it on Scholar)

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  1. D. Alexander Varakin, Daniel T. Levin & Roger Fidler (2004). Unseen and Unaware: Implications of Recent Research on Failures of Visual Awareness for Human-Computer Interface Design. Human-Computer Interaction 19 (4):389-422.score: 145.5
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  2. Peter A. Hancock (2009). Mind, Machine and Morality: Toward a Philosophy of Human-Technology Symbiosis. Ashgate.score: 123.8
    Historically, this work is a modern-day child of Bacon's hope for the 'Great Instauration.' However, unlike its forebear, the focus here is on human-machine systems.
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  3. Lars Qvortrup (1996). Scandinavian Human-Centred Systems Design: Theoretical Reflections and Challenges. AI and Society 10 (2):164-180.score: 117.0
    Currently there is a clear trend towards questioning the traditional sovereign human self which for two hundred years has had an undisputed central status within European culture and philosophy. This challenges the tradition of anthropocentrism which in a Scandinavian computer science context has had two theoretical foundations: the workoriented design theory represented by the Scandinavian participatory design philosophy, and the idea of the computer to a rather passive medium for human communication. The process, reducing the computer (...)
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  4. Nils O. Larsson (2000). Decision Settings Analysis €“ a Tool for Analysis and Design of Human Activity Systems. Theory and Decision 49 (4):339-360.score: 114.0
    The paper describes a methodology to be used for analysis and design of human activity systems. The methodology is based on an analysis of the decision settings whereas most other decision analysis methodologies are analysing the process. The decision concept is analysed and discussed. A distinction between programmed and programmable as well as non-programmed and non-programmable decisions is proposed. A classification of different information types for decision making is presented. A methodology based on a systemic and systematic (...)
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  5. Brian P. Bailey & Joseph A. Konstan (2006). On the Need for Attention-Aware Systems: Measuring Effects of Interruption on Task Performance, Error Rate, and Affective State. Computers in Human Behavior 22 (4):685-708.score: 114.0
  6. Myles Bogner, Uma Ramamurthy & Stan Franklin (2000). Consciousness and Conceptual Learning in a Socially Situated Agent. In Kerstin Dauthenhahn (ed.), Human Cognition and Social Agent Technology. Amsterdam: John Benjamins Publishing Company.score: 105.0
  7. Hiroshi Ishiguro (2006). Android Science: Conscious and Subconscious Recognition. Connection Science 18 (4):319-332.score: 102.0
  8. Herbert A. Simon & Stuart A. Eisenstadt (1998). Human and Machine Interpretation of Expressions in Formal Systems. Synthese 116 (3):439-461.score: 98.5
    This paper uses a proof of Gödels theorem, implemented on a computer, to explore how a person or a computer can examine such a proof, understand it, and evaluate its validity. It is argued that, in order to recognize it (1) as Gödel's theorem, and (2) as a proof that there is an undecidable statement in the language of PM, a person must possess a suitable semantics. As our analysis reveals no differences between the processes required by people and machines (...)
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  9. Erich Jantsch (1975). Design for Evolution: Self-Organization and Planning in the Life of Human Systems. G. Braziller.score: 93.0
     
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  10. H. H. Rosenbrock (1990). Machines with a Purpose. Oxford University Press.score: 88.5
    There is at present a widespread unease about the direction in which our technology is taking us, apparently against our will. Promising advances seem to carry with them unforeseen negative consequences, including damage to the environment and the reduction of work to the trivial mechanical repetition of actions which have no human meaning. However, attempts to design a better, human-centered technology--one that complements rather than rejects human skills--are all too often frustrated by the prevailing belief that (...)
     
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  11. Mark Graves (2009). The Emergence of Transcendental Norms in Human Systems. Zygon 44 (3):501-532.score: 72.0
    Terrence Deacon has described three orders of emergence; Arthur Peacocke and others have suggested four levels of human systems and sciences; and Philip Clayton has postulated an additional, transcendent, level. Orders and levels describe distinct aspects of emergence, with orders characterizing topological complexity and levels characterizing theoretical knowledge and causal power. By using Deacon's orders to analyze and relate each of the four "lower" levels one can project that analysis on the transcendent level to gain insight into the (...)
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  12. Alexander Laszlo & Kathia Laszlo (2002). The Evolution of Evolutionary Systems Design. World Futures 58 (5 & 6):351 – 363.score: 69.0
    This article presents the genesis of Evolutionary Systems Design (ESD) as a praxis that draws on General Evolution Theory and Social Systems Design methodology, in addition to Critical Systems Theory, to engage in lifelong learning and human development in partnership with the Earth. The contributions of Bela H. Banathy to the creation of ESD are portrayed as bridging evolutionary consciousness and evolutionary action. Following a brief description of the inspiration and mentorship provided by Bela (...)
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  13. D. King (1996). Is the Human Mind a Turing Machine? Synthese 108 (3):379-89.score: 65.0
    In this paper I discuss the topics of mechanism and algorithmicity. I emphasise that a characterisation of algorithmicity such as the Turing machine is iterative; and I argue that if the human mind can solve problems that no Turing machine can, the mind must depend on some non-iterative principle — in fact, Cantor's second principle of generation, a principle of the actual infinite rather than the potential infinite of Turing machines. But as there has been theorisation that (...)
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  14. Doren Recker (2010). How to Confuse Organisms with Mousetraps: Machine Metaphors and Intelligent Design. Zygon 45 (3):647-664.score: 63.0
    Why do design arguments—particularly those emphasizing machine metaphors such as “Organisms and/or their parts are machines”—continue to be so convincing to so many people after they have been repeatedly refuted? In this essay I review various interpretations and refutations of design arguments and make a distinction between rationally refuting such arguments (RefutingR) and rendering them psychologically unconvincing (RefutingP). Expanding on this distinction, I provide support from recent work on the cognitive power of metaphors and developmental psychological work (...)
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  15. Tomasz M. Rutkowski, Andrzej Cichocki, Danilo P. Mandic & Toyoaki Nishida (2011). Emotional Empathy Transition Patterns From Human Brain Responses in Interactive Communication Situations. AI and Society 26 (3):301-315.score: 58.5
    The paper reports our research aiming at utilization of human interactive communication modeling principles in application to a novel interaction paradigm designed for brain–computer/machine-interfacing (BCI/BMI) technologies as well as for socially aware intelligent environments or communication support systems. Automatic procedures for human affective responses or emotional states estimation are still a hot topic of contemporary research. We propose to utilize human brain and bodily physiological responses for affective/emotional as well as communicative interactivity estimation, which potentially (...)
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  16. Ivan Moura (2006). A Model of Agent Consciousness and its Implementation. Neurocomputing 69 (16-18):1984-1995.score: 58.5
  17. Peter-Paul Verbeek (2011). De Grens van de Mens: Over Techniek, Ethiek En de Menselijke Natuur. Lemniscaat.score: 58.5
     
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  18. Aaron Sloman & Ronald L. Chrisley (2003). Virtual Machines and Consciousness. Journal of Consciousness Studies 10 (4-5):133-172.score: 57.0
    Replication or even modelling of consciousness in machines requires some clarifications and refinements of our concept of consciousness. Design of, construction of, and interaction with artificial systems can itself assist in this conceptual development. We start with the tentative hypothesis that although the word “consciousness” has no well-defined meaning, it is used to refer to aspects of human and animal informationprocessing. We then argue that we can enhance our understanding of what these aspects might be by designing (...)
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  19. Markus F. Peschl & Chris Stary (1998). The Role of Cognitive Modeling for User Interface Design Representations: An Epistemological Analysis of Knowledge Engineering in the Context of Human-Computer Interaction. Minds and Machines 8 (2):203-236.score: 55.5
    In this paper we review some problems with traditional approaches for acquiring and representing knowledge in the context of developing user interfaces. Methodological implications for knowledge engineering and for human-computer interaction are studied. It turns out that in order to achieve the goal of developing human-oriented (in contrast to technology-oriented) human-computer interfaces developers have to develop sound knowledge of the structure and the representational dynamics of the cognitive system which is interacting with the computer.We show that in (...)
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  20. Aaron Sloman (1992). Prolegomena to a Theory of Communication and Affect. In Andrew Ortony, Jon Slack & Oliviero Stock (eds.), Communication from an Artificial Intelligence Perspective: Theoretical and Applied Issues. Springer.score: 55.5
    As a step towards comprehensive computer models of communication, and effective human machine dialogue, some of the relationships between communication and affect are explored. An outline theory is presented of the architecture that makes various kinds of affective states possible, or even inevitable, in intelligent agents, along with some of the implications of this theory for various communicative processes. The model implies that human beings typically have many different, hierarchically organized, dispositions capable of interacting with new information (...)
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  21. Gregorio Rivera (2003). An Evolutionary Learning Community Network: How Evolutionary Artscience Emerges Through Evolutionary Systems Design. World Futures 59 (8):577 – 584.score: 54.0
    What is the experience of creating a synergistic approach to arts and sciences practice in a learning community focused on the notion of sustainable development? In this article, I answer this question through an evolutionary approach to societal transformation. My social research inquiry integrates the arts and sciences, a learning and design community, sustainable development, and Internet networking. Codesigners created the conditions to explore in multimodal dialogue and engage, guide, and design the emergence of what I call evolutionary (...)
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  22. Fernando Martín-Alcázar, Pedro M. Romero-Fernández & Gonzalo Sánchez-Gardey (2012). Transforming Human Resource Management Systems to Cope with Diversity. Journal of Business Ethics 107 (4):511-531.score: 53.0
    The purpose of this study is to examine how workgroup diversity can be managed through specific strategic human resource management systems. Our review shows that ‘affirmative action’ and traditional ‘diversity management’ approaches have failed to simultaneously achieve business and social justice outcomes of diversity. As previous literature has shown, the benefits of diversity cannot be achieved with isolated interventions. To the contrary, a complete organizational culture change is required, in order to promote appreciation of individual differences. The paper (...)
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  23. Peter Brödner (2013). Reflective Design of Technology for Human Needs. AI and Society 28 (1):27-37.score: 53.0
    Inspired by an economic interpretation of the Faustus drama allegorically disclosing the ‘alchemical’ nature of modern economy, the paper presents a critical view on the development of technology as concomitant phenomenon of work practices with particular focus on manufacturing. It starts with a theoretical perspective on the dynamics of creating explicit propositional knowledge and its re-appropriation for practical use. This lays the ground for understanding how technical artefacts emerge from and, in turn, affect social practices. It further helps to understand (...)
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  24. Gary Metcalf (2003). Learning to Design Systems. World Futures 59 (1):21 – 36.score: 49.5
    This article describes a brief overview of systems design concepts, and provides an example of the use of one very simple framework for utilizing systems design. Its purpose is to demonstrate the value of even the simplest of systems design models in clarifying the issues behind what are often perceived to be organizational conflicts. The example provided is that of a medical function within an industrial organization, but the implications apply to almost any support (...)
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  25. Dongming Xu (forthcoming). Beyond Simon 's Means-Ends Analysis: Natural Creativity and the Unanswered 'Why' in the Design of Intelligent Systems for Problem-Solving. Minds and Machines.score: 49.5
    Goal-directed problem solving as originally advocated by Herbert Simon’s means-ends analysis model has primarily shaped the course of design research on artificially intelligent systems for problem-solving. We contend that there is a definite disregard of a key phase within the overall design process that in fact logically precedes the actual problem solving phase. While systems designers have traditionally been obsessed with goal-directed problem solving, the basic determinants of the ultimate desired goal state still remain to be (...)
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  26. Kuo-Chin Chang, Tzung-Pei Hong & Shian-Shyong Tseng (1996). Machine Learning by Imitating Human Learning. Minds and Machines 6 (2):203-228.score: 49.0
    Learning general concepts in imperfect environments is difficult since training instances often include noisy data, inconclusive data, incomplete data, unknown attributes, unknown attribute values and other barriers to effective learning. It is well known that people can learn effectively in imperfect environments, and can manage to process very large amounts of data. Imitating human learning behavior therefore provides a useful model for machine learning in real-world applications. This paper proposes a new, more effective way to represent imperfect training (...)
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  27. Elizabeth Spelke, Core Systems in Human Cognition.score: 48.0
    Research on human infants, adult nonhuman primates, and children and adults in diverse cultures provides converging evidence for four systems at the foundations of human knowledge. These systems are domain specific and serve to represent both entities in the perceptible world (inanimate manipulable objects and animate agents) and entities that are more abstract (numbers and geometrical forms). Human cognition may be based, as well, on a fifth system for representing social partners and for categorizing the (...)
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  28. Robert Sparrow (2009). Building a Better Warbot: Ethical Issues in the Design of Unmanned Systems for Military Applications. Science and Engineering Ethics 15 (2).score: 48.0
    Unmanned systems in military applications will often play a role in determining the success or failure of combat missions and thus in determining who lives and dies in times of war. Designers of UMS must therefore consider ethical, as well as operational, requirements and limits when developing UMS. I group the ethical issues involved in UMS design under two broad headings, Building Safe Systems and Designing for the Law of Armed Conflict, and identify and discuss a number (...)
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  29. Chunyu Dong (2010). Intelligent Design From the Viewpoint of Complex Systems Theory. Frontiers of Philosophy in China 5 (3):461-470.score: 48.0
    Based on an analysis of the origins and characteristics of Intelligent Design (ID), this essay discusses the related issues of probability and irreducible complexity. From the viewpoint of complex systems theory, I suggest that Intelligent Design is not, as certain advocates claim, the only reasonable approach for dealing with the current difficulties of evolutionary biology.
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  30. Françoise Baylis & Matthew Herder (2009). Policy Design for Human Embryo Research in Canada: A History (Part 1 of 2). Journal of Bioethical Inquiry 6 (1).score: 48.0
    This article is the first in a two-part review of policy design for human embryo research in Canada. In this article we explain how this area of research is circumscribed by law promulgated by the federal Parliament (the Assisted Human Reproduction Act ) and by guidelines issued by the Tri-Agencies (the Tri-Council Policy Statement: Ethical Conduct for Research Involving Humans and Updated Guidelines for Human Pluripotent Stem Cell Research ). In so doing, we provide the first (...)
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  31. Peter W. Barlow (1992). A Constant of Temporal Structure in the Human Hierarchy and Other Systems. Acta Biotheoretica 40 (4).score: 48.0
    The levels that compose biological hierarchies each have their own energetic, spatial and temporal structure. Indeed, it is the discontinuity in energy relationships between levels, as well as the similarity of sub-systems that support them, that permits levels to be defined. In this paper, the temporal structure of living hierarchies, in particular that pertaining to Human society, is examined. Consideration is given to the period defining the lifespan of entities at each level and to a periodic event considered (...)
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  32. Wendell Wallach, Colin Allen & Iva Smit (2007). Machine Morality: Bottom-Up and Top-Down Approaches for Modelling Human Moral Faculties. AI and Society 22 (4):565-582.score: 48.0
    The implementation of moral decision making abilities in artificial intelligence (AI) is a natural and necessary extension to the social mechanisms of autonomous software agents and robots. Engineers exploring design strategies for systems sensitive to moral considerations in their choices and actions will need to determine what role ethical theory should play in defining control architectures for such systems. The architectures for morally intelligent agents fall within two broad approaches: the top-down imposition of ethical theories, and the (...)
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  33. Françoise Baylis & Matthew Herder (2009). Policy Design for Human Embryo Research in Canada: An Analysis (Part 2 of 2). Journal of Bioethical Inquiry 6 (3).score: 48.0
    This article is the second in a two-part review of policy design for human embryo research in Canada. In the first article in 6(1) of the JBI , we explain how this area of research is circumscribed by law promulgated by the federal Parliament and by guidelines adopted by the Tri-Agencies, and we provide a chronological description of relevant policy initiatives and outcomes related to these two policy instruments, with particular attention to the repeated efforts at public consultation. (...)
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  34. Bandar Alharthey & Amran Rasli (forthcoming). The Use of Human Resource Management Systems in the Saudi Market. Asian Journal of Business Ethics (Browse Results).score: 48.0
    Abstract The goal of the study was to investigate the current situation with Human Resources (HR) systems in the Saudi market on the basis of survey conducted among 100 organizations. Their HR and IT experts were to fill out a questionnaire that allowed receiving their expert opinion and make conclusions considering the HR systems usage in this country. In the course of the study, eight hypotheses were investigated and proved: the number of companies’ users of Human (...)
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  35. Thomas K. Landauer (1999). Latent Semantic Analysis (LSA), a Disembodied Learning Machine, Acquires Human Word Meaning Vicariously From Language Alone. Behavioral and Brain Sciences 22 (4):624-625.score: 48.0
    The hypothesis that perceptual mechanisms could have more representational and logical power than usually assumed is interesting and provocative, especially with regard to brain evolution. However, the importance of embodiment and grounding is exaggerated, and the implication that there is no highly abstract representation at all, and that human-like knowledge cannot be learned or represented without human bodies, is very doubtful. A machine-learning model, Latent Semantic Analysis (LSA) that closely mimics human word and passage meaning relations (...)
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  36. Mark Fisher (2003). New Zealand Farmer Narratives of the Benefits of Reduced Human Intervention During Lambing in Extensive Farming Systems. Journal of Agricultural and Environmental Ethics 16 (1):77-90.score: 48.0
    Easy-care or natural lambing pertainsto those sheep able to successfully lamb andrear at least one lamb without human assistancein a difficult environment. Such sheep may havea higher survival rate, lower lamb mortality,and require less shepherding at lambing thanother sheep breeds or strains. The farmer orshepherd account of easy-care lambing revealsseveral themes. Firstly, stock were bred tosurvive or suit local environments orconditions, particularly steep hill country inNew Zealand. This involved extensive culling ofundesirable dams, regardless of how well theymight perform in (...)
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  37. David Ferguson & Lance Moir (2007). What Are the Key Factors That Affect the Design of Corporate Responsibility Performance Measurement Systems? Proceedings of the International Association for Business and Society 18:138-143.score: 48.0
    This paper presents findings from a literature review exploring the operationalisation issues for corporate responsibility performance and corporate responsibility performance measurement systems (CR-PMS). It concludes with a synthesis for the key comparative aspects of a CR-PMS and a traditional PMS in terms of the metric and systems perspective. In light of the sparse academic literature on the specific topic, this paper proposes a new categorical tool, the Ten Factor Framework for the design of CR-PMS, which has both (...)
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  38. Marco C. Bettoni (1995). Kant and the Software Crisis: Suggestions for the Construction of Human-Centred Software Systems. AI and Society 9 (4):396-401.score: 48.0
    -/- In this article I deal with the question “How could we renew and enrich computer technology with Kant's help?”. By this I would like to invite computer scientists and engineers to initiate or intensify their cooperation with Kant experts. -/- What I am looking for is a better “method of definition” for software systems, particularly for the development of object-oriented and knowledge-based systems. -/- After a description of the “software crisis”, I deal first with the question why (...)
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  39. Martin Fischer (2012). Interdisciplinary Technology Assessment of Service Robots: The Psychological/Work Science Perspective. Poiesis and Praxis 9 (3-4):231-248.score: 48.0
    The article sheds light on psychological and work science aspects of the design and utilization of service robots. An initial presentation of the characteristics of man–robot interaction is followed by a discussion of the principles of the division of functions between human beings and robots in service area work systems. The following aspects are to be considered: (1) the organisation of societal work (such as the different employment and professional profiles of service employees), (2) the work tasks (...)
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  40. G. Stephen Taylor & J. Stephen Davis (1989). Individual Privacy and Computer-Based Human Resource Information Systems. Journal of Business Ethics 8 (7):569 - 576.score: 48.0
    The proliferation of computers in the business realm may lead to ethical problems between individual and societal rights, and the organization's need to control costs. In an attempt to explore the causes of this potential conflict, this study examined the varying levels of sensitivity 223 respondents assigned to different types of information typically stored in computer-based human resource information systems. It was found that information most directly related to the job — pay rate, fringe benefits, educational history — (...)
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  41. John R. Lucas (1967). Human and Machine Logic: A Rejoinder. British Journal for the Philosophy of Science 19 (August):155-6.score: 45.0
    We can imagine a human operator playing a game of one-upmanship against a programmed computer. If the program is Fn, the human operator can print the theorem Gn, which the programmed computer, or, if you prefer, the program, would never print, if it is consistent. This is true for each whole number n, but the victory is a hollow one since a second computer, loaded with program C, could put the human operator out of a job.... It (...)
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  42. Peter Danielson (forthcoming). Designing a Machine to Learn About the Ethics of Robotics: The N-Reasons Platform. Ethics and Information Technology.score: 45.0
    We can learn about human ethics from machines. We discuss the design of a working machine for making ethical decisions, the N-Reasons platform, applied to the ethics of robots. This N-Reasons platform builds on web based surveys and experiments, to enable participants to make better ethical decisions. Their decisions are better than our existing surveys in three ways. First, they are social decisions supported by reasons. Second, these results are based on weaker premises, as no exogenous expertise (...)
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  43. Karim Jebari (forthcoming). Brain Machine Interface and Human Enhancement – An Ethical Review. Neuroethics.score: 45.0
    Brain machine interface (BMI) technology makes direct communication between the brain and a machine possible by means of electrodes. This paper reviews the existing and emerging technologies in this field and offers a systematic inquiry into the relevant ethical problems that are likely to emerge in the following decades.
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  44. Eliezer J. Sternberg (2007). Are You a Machine?: The Brain, the Mind, and What It Means to Be Human. Humanity Books.score: 45.0
    In the scientist's lair -- The mysterious power -- The ghost in the machine -- The mechanics of mind -- Consciousness emerges -- How to build a mind -- Turing's test of consciousness -- Supremacy of the machines -- The Chinese room -- Demons in the brain -- Describing the indescribable -- March of the zombies -- The denial of consciousness -- The limits of computation -- A new generation.
     
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  45. Gordana Dodig Crnkovic & Baran Çürüklü (2012). Robots: Ethical by Design. Ethics and Information Technology 14 (1):61-71.score: 43.0
    Among ethicists and engineers within robotics there is an ongoing discussion as to whether ethical robots are possible or even desirable. We answer both of these questions in the positive, based on an extensive literature study of existing arguments. Our contribution consists in bringing together and reinterpreting pieces of information from a variety of sources. One of the conclusions drawn is that artifactual morality must come in degrees and depend on the level of agency, autonomy and intelligence of the (...). Moral concerns for agents such as intelligent search machines are relatively simple, while highly intelligent and autonomous artifacts with significant impact and complex modes of agency must be equipped with more advanced ethical capabilities. Systems like cognitive robots are being developed that are expected to become part of our everyday lives in future decades. Thus, it is necessary to ensure that their behaviour is adequate. In an analogy with artificial intelligence, which is the ability of a machine to perform activities that would require intelligence in humans, artificial morality is considered to be the ability of a machine to perform activities that would require morality in humans. The capacity for artificial (artifactual) morality, such as artifactual agency, artifactual responsibility, artificial intentions, artificial (synthetic) emotions, etc., come in varying degrees and depend on the type of agent. As an illustration, we address the assurance of safety in modern High Reliability Organizations through responsibility distribution. In the same way that the concept of agency is generalized in the case of artificial agents , the concept of moral agency, including responsibility, is generalized too. We propose to look at artificial moral agents as having functional responsibilities within a network of distributed responsibilities in a socio-technological system. This does not take away the responsibilities of the other stakeholders in the system, but facilitates an understanding and regulation of such networks. It should be pointed out that the process of development must assume an evolutionary form with a number of iterations because the emergent properties of artifacts must be tested in real world situations with agents of increasing intelligence and moral competence. We see this paper as a contribution to the macro-level Requirement Engineering through discussion and analysis of general requirements for design of ethical robots. (shrink)
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  46. Darren Whobrey (2001). Machine Mentality and the Nature of the Ground Relation. Minds and Machines 11 (3):307-346.score: 43.0
    John Searle distinguished between weak and strong artificial intelligence (AI). This essay discusses a third alternative, mild AI, according to which a machine may be capable of possessing a species of mentality. Using James Fetzer's conception of minds as semiotic systems, the possibility of what might be called ``mild AI'' receives consideration. Fetzer argues against strong AI by contending that digital machines lack the ground relationship required of semiotic systems. In this essay, the implementational nature of semiotic (...)
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  47. Barry Allen (2008). Artifice and Design: Art and Technology in Human Experience. Cornell University Press.score: 42.0
    The book concludes that it is a mistake to think of Art as something subjective, or as an arbitrary social representation, and of Technology as an instrumental ...
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  48. Frank Emspak & Sharon Trimborn (1998). The Nursing Information Systems: Collaborative Design of Healthcare Information Systems. AI and Society 12 (1-2):64-70.score: 42.0
    This paper will describe a participatory design process by which individuals from many levels of hierarchy and diverse technical background envisioned and then determined the design criteria for the software system to support the delivery of high quality nursing services.
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  49. M. L. Lonky (2003). Human Consciousness: A Systems Approach to the Mind/Brain Interaction. Journal of Mind and Behavior 24 (1):91-118.score: 42.0
     
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  50. Charles Musès (1985/2009). Destiny and Control in Human Systems: Studies in the Interactive Connectedness of Time (Chronotopology). Martino Pub..score: 42.0
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  51. Aaron Sloman (2011). Evolution: The Computer Systems Engineer Designing Minds. Avant 2 (2):45–69.score: 41.0
    What we have learnt in the last six or seven decades about virtual machinery, as a result of a great deal of science and technology, enables us to offer Darwin a new defence against critics who argued that only physical form, not mental capabilities and consciousness could be products of evolution by natural selection. The defence compares the mental phenomena mentioned by Darwin’s opponents with contents of virtual machinery in computing systems. Objects, states, events, and processes in virtual machinery (...)
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  52. David R. Shanks & M. F. St John (1994). Characteristics of Dissociable Human Learning Systems. Behavioral and Brain Sciences 17:367-447.score: 40.5
  53. Don Ihde (1975). The Experience of Technology: Human-Machine Relations. Philosophy and Social Criticism 2 (3):267-279.score: 40.5
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  54. Michael Tetzlaff & Peter Carruthers (2008). Languages of Thought Need to Be Distinguished From Learning Mechanisms, and Nothing yet Rules Out Multiple Distinctively Human Learning Systems. Behavioral and Brain Sciences 31 (2):148-149.score: 40.5
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  55. Kevin Dooley (1999). Reviews: A Science of Generic Design: Managing Complexity Through Systems Design, John N. Warfield. [REVIEW] Emergence 1 (2):190-192.score: 40.5
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  56. Luuk Matthijssen (2003). Tom M. Van Engers, Knowledge Management: The Role of Mental Models in Business Systems Design. Ph.D. Thesis, Vrije Universiteit Amsterdam. Belastingdienst (Dutch Tax and cusToms Administration). [REVIEW] Artificial Intelligence and Law 11 (1):63-67.score: 40.5
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  57. Alex Kozulin (1981). The Influence of the Personality of the Scientist on His Theorizing: I. P. Pavlov and the Concept of Human Signal Systems. Studies in East European Thought 22 (4).score: 40.5
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  58. Alexander Laszlo (1999). Evolutionary Systems Design: A Soft Technology for Hard Challenges. World Futures 54 (4):313-335.score: 40.5
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  59. Philip Lawrence Belove (forthcoming). Human Relationship Systems as a Twin Stochastic Process. Semiotics:45-56.score: 40.5
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  60. Adrian Rahaman & Martina Angela Sasse (2010). A Framework for the Lived Experience of Identity. Identity in the Information Society 3 (3):605-638.score: 39.0
    This paper presents a framework for the design of human-centric identity management systems. Whilst many identity systems over the past few years have been labelled as human-centred, we argue that the term has been appropriated by technologists to claim moral superiority of their products, and by system owners who confuse administrative convenience with benefits for users. The framework for human-centred identity presented here identifies a set of design properties that can impact the lived (...)
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  61. Dawn Jutla (2010). Layering Privacy on Operating Systems, Social Networks, and Other Platforms by Design. Identity in the Information Society 3 (2):319-341.score: 39.0
    Pervasive, easy-to-use privacy services are keys to enabling users to maintain control of their private data in the online environment. This paper proposes (1) an online privacy lifecycle from the user perspective that drives and categorizes the development of these services, (2) a layered platform design solution for online privacy, (3) the evolution of the PeCAN (Personal Context Agent Networking) architecture to a platform for pervasively providing multiple contexts for user privacy preferences and online informational privacy services, and (4) (...)
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  62. Pepijn R. S. Visser & Trevor J. M. Bench-Capon (1998). A Comparison of Four Ontologies for the Design of Legal Knowledge Systems. Artificial Intelligence and Law 6 (1).score: 39.0
    There is a growing interest in how people conceptualise the legal domain for the purpose of legal knowledge systems. In this paper we discuss four such conceptualisations (referred to as ontologies): McCarty's language for legal discourse, Stamper's norma formalism, Valente's functional ontology of law, and the ontology of Van Kralingen and Visser. We present criteria for a comparison of the ontologies and discuss the strengths and weaknesses of the ontologies in relation to these criteria. Moreover, we critically review the (...)
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  63. Herbert Kubicek (2010). Introduction: Conceptual Framework and Research Design for a Comparative Analysis of National eID Management Systems in Selected European Countries. Identity in the Information Society 3 (1):5-26.score: 39.0
    This paper introduces the objectives and basic approach of a collaborative comparative research project on the introduction of national electronic Identity Management Systems (eIDMS) in Member States of the European Union. Altogether eight country case studies have been produced in two waves by researchers in the respective countries, which will be presented in the following articles in this special issue. The studies adopt a common conceptual framework and use the same terminology, which will be presented in this introduction, just (...)
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  64. Sherman M. Stanage (1979). Human Acts, the Relevancy Matrix, and Systems of Relevancy. Human Studies 2 (1):131 - 158.score: 39.0
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  65. Tomer Fekete & Shimon Edelman (2012). The (Lack of) Mental Life of Some Machines. In Shimon Edelman, Tomer Fekete & Neta Zach (eds.), Being in Time: Dynamical Models of Phenomenal Experience. John Benjamins..score: 39.0
    The proponents of machine consciousness predicate the mental life of a machine, if any, exclusively on its formal, organizational structure, rather than on its physical composition. Given that matter is organized on a range of levels in time and space, this generic stance must be further constrained by a principled choice of levels on which the posited structure is supposed to reside. Indeed, not only must the formal structure fit well the physical system that realizes it, but it (...)
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  66. Joachim Funke (2001). Dynamic Systems as Tools for Analysing Human Judgement. Thinking and Reasoning 7 (1):69 – 89.score: 39.0
    With the advent of computers in the experimental labs, dynamic systems have become a new tool for research on problem solving and decision making. A short review of this research is given and the main features of these systems (connectivity and dynamics) are illustrated. To allow systematic approaches to the influential variables in this area, two formal frameworks (linear structural equations and finite state automata) are presented. Besides the formal background, the article sets out how the task demands (...)
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  67. A. W. McHoul (1983). Announcing: A Contribution to the Critique of Information Systems Models of Human Communication. Human Studies 6 (1):279 - 294.score: 39.0
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  68. Bryan W. Husted (1993). Reliability and the Design of Ethical Organizations: A Rational Systems Approach. Journal of Business Ethics 12 (10):761 - 769.score: 39.0
    This paper argues that the concept of reliability provides a useful framework for analyzing defects in organizational design and for prescribing changes that will facilitate ethical decision making. Reliability becomes an ethical concern when the individual or organizational interest diverges from the collective interest. Redundancy and requisite variety provide two design tools which can enable organizations to act reliably in the collective interest. The paper then discusses potential disadvantages to the use of a reliability framework as well as (...)
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  69. Aurel I. Popescu (1998). Bionics, Biological Systems and the Principle of Optimal Design. Acta Biotheoretica 46 (4).score: 39.0
    The living world is an exciting and inexhaustible source of high performance solutions to the multitude of biological problems, which were attained as a result of a natural selection, during the millions and millions years evolution of life on Earth. This work presents and comments some examples of high performances of living beings, in the light of the universal principle governing the realm of living matter: Optimal Design Principle. At the same time, the transfer of these optimal solutions, from (...)
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  70. Ken Uchiyama (1998). Towards the Appropriate Human-Centred Information Systems: A Case Study of the Japanese Retail Industry. AI and Society 12 (4):287-295.score: 39.0
    The industries of Japan have developed by learning from Western industries, especially the USA, and by implementing many of their concepts and technologies. However, Japanese industries have often implemented these concepts and technologies in a very different way from the USA. For example, while the USA uses information systems in retail industries as a tool by which data are collected and analysed to ‘control the market’, in Japan this same technology is considered rather as a learning device to ‘interpret (...)
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  71. Erich Jantsch (ed.) (1976). Evolution And Consciousness: Human Systems In Transition. Reading Ma: Addison-Wesley.score: 38.0
  72. Shane Legg & Marcus Hutter (2007). Universal Intelligence: A Definition of Machine Intelligence. Minds and Machines 17 (4):391-444.score: 37.0
    A fundamental problem in artificial intelligence is that nobody really knows what intelligence is. The problem is especially acute when we need to consider artificial systems which are significantly different to humans. In this paper we approach this problem in the following way: we take a number of well known informal definitions of human intelligence that have been given by experts, and extract their essential features. These are then mathematically formalised to produce a general measure of intelligence for (...)
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  73. Emmanuel Gilissen (2005). Imitation Systems, Monkey Vocalization, and the Human Language. Behavioral and Brain Sciences 28 (2):133-134.score: 37.0
    In offering a detailed view of putative steps towards the emergence of language from a cognitive standpoint, Michael Arbib is also introducing an evolutionary framework that can be used as a useful tool to confront other viewpoints on language evolution, including hypotheses that emphasize possible alternatives to suggestions that language could not have emerged from an earlier primate vocal communication system.
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  74. Jordan Zlatev (2001). The Epigenesis of Meaning in Human Beings, and Possibly in Robots. Minds and Machines 11 (2):155-195.score: 37.0
    This article addresses a classical question: Can a machine use language meaningfully and if so, how can this be achieved? The first part of the paper is mainly philosophical. Since meaning implies intentionality on the part of the language user, artificial systems which obviously lack intentionality will be `meaningless' (pace e.g. Dennett). There is, however, no good reason to assume that intentionality is an exclusively biological property (pace e.g. Searle) and thus a robot with bodily structures, interaction patterns (...)
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  75. Giuseppe Primiero (forthcoming). A Taxonomy of Errors for Information Systems. Minds and Machines:1-25.score: 37.0
    We provide a full characterization of computational error states for information systems. The class of errors considered is general enough to include human rational processes, logical reasoning, scientific progress and data processing in some functional programming languages. The aim is to reach a full taxonomy of error states by analysing the recovery and processing of data. We conclude by presenting machine-readable checking and resolve algorithms.
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  76. Massimo Pigliucci & Maarten Boudry (2011). Why Machine-Information Metaphors Are Bad for Science and Science Education. Science and Education 20 (453):471.score: 36.0
    Genes are often described by biologists using metaphors derived from computa- tional science: they are thought of as carriers of information, as being the equivalent of ‘‘blueprints’’ for the construction of organisms. Likewise, cells are often characterized as ‘‘factories’’ and organisms themselves become analogous to machines. Accordingly, when the human genome project was initially announced, the promise was that we would soon know how a human being is made, just as we know how to make airplanes and buildings. (...)
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  77. Daniel C. Dennett (1997). Consciousness in Human and Robot Minds. In M. Ito, Y. Miyashita & Edmund T. Rolls (eds.), Cognition, Computation and Consciousness. Oxford University Press.score: 36.0
    The best reason for believing that robots might some day become conscious is that we human beings are conscious, and we are a sort of robot ourselves. That is, we are extraordinarily complex self-controlling, self-sustaining physical mechanisms, designed over the eons by natural selection, and operating according to the same well-understood principles that govern all the other physical processes in living things: digestive and metabolic processes, self-repair and reproductive processes, for instance. It may be wildly over-ambitious to suppose that (...)
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  78. Ian I. Mitroff & Francisco Sagasti (1973). Epistemology as General Systems Theory: An Approach to the Design of Complex Decision-Making Experiments. Philosophy of the Social Sciences 3 (1):117-134.score: 36.0
  79. Phil Dowe, Paul Noordhof & Clark Glymour, Florida Institute for Human and Machine Cognition.score: 36.0
    For most of the contributions to this volume, the project is this: Fill out “Event X is a cause of event Y if and only if……” where the dots on the right are to be filled in by a claims formulated in terms using any of (1) descriptions of possible worlds and their relations; (2) a special predicate, “is a law;” (3) “chances;” and (4) anything else one thinks one needs. The form of analysis is roughly the same as that (...)
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  80. Patricia A. Marshall (2005). Human Rights,Cultural Pluralism, and International Health Research. Theoretical Medicine and Bioethics 26 (6):529-557.score: 36.0
    In the field of bioethics, scholars have begun to consider carefully the impact of structural issues on global population health, including socioeconomic and political factors influencing the disproportionate burden of disease throughout the world. Human rights and social justice are key considerations for both population health and biomedical research. In this paper, I will briefly explore approaches to human rights in bioethics and review guidelines for ethical conduct in international health research, focusing specifically on health research conducted in (...)
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  81. Matthew Ratcliffe (2003). Paul Sheldon Davies,Norms of Nature: Naturalism and the Nature of Function. A Bradford Book. Cambridge, Mass.: MIT Press, 2001; Peter McLaughlin,What Functions Explain: Functional Explanation and Self-Reproducing Systems. Cambridge: Cambridge University Press, 2001; Del Ratzsch,Nature, Design, and Science: The Status of Design in Natural Science. Albany: State University of New York Press, 2001. [REVIEW] Metascience 12 (3):312-321.score: 36.0
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  82. David Sloan Wilson (1995). Language as a Community of Interacting Belief Systems: A Case Study Involving Conduct Toward Self and Others. Biology and Philosophy 10 (1):77-97.score: 36.0
    Words such as selfish and altruistic that describe conduct toward self and others are notoriously ambiguous in everyday language. I argue that the ambiguity is caused, in part, by the coexistence of multiple belief systems that use the same words in different ways. Each belief system is a relatively coherent linguistic entity that provides a guide for human behavior. It is therefore a functional entity with design features that dictate specific word meaning. Since different belief systems (...)
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  83. Fikret Berkes, Carl Folke & Johan Colding (eds.) (1998). Linking Social and Ecological Systems: Management Practices and Social Mechanisms for Building Resilience. Cambridge University Press.score: 36.0
    It is usually the case that scientists examine either ecological systems or social systems, yet the need for an interdisciplinary approach to the problems of environmental management and sustainable development is becoming increasingly obvious. Developed under the auspices of the Beijer Institute in Stockholm, this new book analyses social and ecological linkages in selected ecosystems using an international and interdisciplinary case study approach. The chapters provide detailed information on a variety of management practices for dealing with environmental change. (...)
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  84. I. J. Good (1967). Human and Machine Logic. British Journal for the Philosophy of Science 18 (August):145-6.score: 36.0
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  85. Alfonso Montuori (1992). Creativity, Chaos, and Self-Renewal in Human Systems. World Futures 35 (4):193-209.score: 36.0
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  86. Ian Wright, Aaron Sloman & Luc Beaudoin (1996). Towards a Design-Based Analysis of Emotional Episodes. Philosophy, Psychiatry, and Psychology 3 (2):101-126.score: 36.0
    he design-based approach is a methodology for investigating mechanisms capable of generating mental phenomena, whether introspectively or externally observed, and whether they occur in humans, other animals or robots. The study of designs satisfying requirements for autonomous agency can provide new deep theoretical insights at the information processing level of description of mental mechanisms. Designs for working systems (whether on paper or implemented on computers) can systematically explicate old explanatory concepts and generate new concepts that allow new and (...)
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  87. David A. Bella (1997). Organized Complexity in Human Affairs: The Tobacco Industry. Journal of Business Ethics 16 (10):977-999.score: 36.0
    How do we explain organized complexity in human affairs? The most common model explain s human organization as the outcome of rational design; order in human affairs arises from the intentions, plans, and orders of those in charge. For organizational complexity on vast scales, this model is insufficient, misleading, and potentially disastrous. An alternative model, based upon self-organization within complex systems, is developed and applied to the tobacco industry.Leaked documents and public testimony point to widespread (...)
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  88. Joan C. Hubbard, Karen A. Forcht & Daphyne S. Thomas (1998). Human Resource Information Systems: An Overview of Current Ethical and Legal Issues. Journal of Business Ethics 17 (12):1319-1323.score: 36.0
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  89. Keith Dixon (1980). Book Review:Social Systems and the Evolution of Action Theory. Talcott Parsons; Action Theory and the Human Condition. Talcott Parsons. [REVIEW] Ethics 90 (4):608-.score: 36.0
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  90. Charles Smith (2011). Nature's Longing for Beauty: Elegance as an Evolutionary Attractor, with Implications for Human Systems. World Futures 66 (7):504-510.score: 36.0
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  91. John M. Artz (1999). Human Values and the Design of Computer Technology, Edited by Batya Friedman. Ethics and Information Technology 1 (4):305-306.score: 36.0
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  92. Gary Lupyan (2008). Taking Symbols for Granted? Is the Discontinuity Between Human and Nonhuman Minds the Product of External Symbol Systems? Behavioral and Brain Sciences 31 (2):140-141.score: 36.0
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  93. C. West Churchman & Bruce G. Buchanan (1969). On the Design of Inductive Systems: Some Philosophical Problems. British Journal for the Philosophy of Science 20 (4):311-323.score: 36.0
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  94. Timo P. Kylmälä (2011). Post-Organic Informational Condition: Hypotheses on the Nature and Role of Information in Human Systems. World Futures 67 (2):93-105.score: 36.0
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  95. L. Metcalf & S. Benn (2012). The Corporation is Ailing Social Technology: Creating a 'Fit for Purpose' Design for Sustainability. Journal of Business Ethics 111 (2):195-210.score: 36.0
    Designed to facilitate economic development, the corporate form now threatens human survival. This article presents an argument that organisations are yet to be ‘fit for purpose’ and that the corporate form needs to be re-designed to reach sustainability. It suggests that organisations need to recognise their agent status amongst a much wider and highly complex array of interconnected, dynamic economic, environmental and social systems. Human Factors theory is drawn on to propose that business systems could be (...)
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  96. Colin G. Drury (2003). Service, Quality and Human Factors. AI and Society 17 (2):78-96.score: 36.0
    As pressures on the service economy from globalisation increase, new techniques may be appropriate for designing service systems. This paper examines the tradition of service quality and argues that its unique characteristics, such as the joint production of offerings by operators and customers, could benefit from the techniques of human factors. The interaction between human factors and quality is reviewed and four issues are extracted that should be directly applicable to service encounters. These are interface design, (...)
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  97. Jürgen Friedrich (1996). Design Science 97. AI and Society 10 (2):199-217.score: 36.0
    Design of information systems, on the one hand, is often dominated by pure technical considerations of performance, correctness or reliability. On the other hand, sociological analysis of the social impact of information technology is not transfered to operationalised design criteria and to practice. The paper discusses this contradiction and tries to overcome the gap between computer science and social sciences in design by analysing the history of design in architecture and fine arts as well as (...)
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  98. Karl E. Peters (1977). The Need for a Systems Approach: An Introduction to the Conference on "the Ecosystem, Energy, and Human Values". Zygon 12 (2):106-108.score: 36.0
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  99. Robert Pepperell (2006). Applications for Conscious Systems. AI and Society 22 (1):45-52.score: 36.0
    Many recent developments in technological design are aimed towards the ‘humanisation’ of technology, that is, making technology behave in a way that is more ‘intuitive’, ‘friendly’ or ‘usable’. This assumes, however, that technology is not in itself human but rather some external antagonistic force or object. Contrary to this, I will defend the suggestion that technology is part of what constitutes humanity as a whole, to the extent of embodying some degree of cognition and consciousness. Looking briefly at (...)
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  100. Aaron Sloman, Altricial Self-Organising Information-Processing Systems ∗.score: 36.0
    It is often thought that there is one key design principle or at best a small set of design principles, underlying the success of biological organisms. Candidates include neural nets, ‘swarm intelligence’, evolutionary computation, dynamical systems, particular types of architecture or use of a powerful uniform learning mechanism, e.g. reinforcement learning. All of those support types of self-organising, self-modifying behaviours. But we are nowhere near understanding the full variety of powerful information-processing principles ‘discovered’ by evolution. By attending (...)
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