Results for 'Cooperative intelligence'

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  1. Unraveling Trie Enigma of Human Intelligence: Evolutionary Psychology and the Multimodular Mind.Of Intelligence - 2002 - In Robert J. Sternberg & J. Kaufman (eds.), The Evolution of Intelligence. Lawrence Erlbaum. pp. 145.
     
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    [Book Review] Understanding John Dewey, Nature and Cooperative Intelligence[REVIEW]James Campbell - 1996 - Ethics 107 (1):166-168.
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    Book Review:Understanding John Dewey: Nature and Cooperative Intelligence. James Campbell. [REVIEW]Donald F. Koch - 1996 - Ethics 107 (1):166-.
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  4. Understanding John Dewey: Nature and Cooperative Intelligence.Campbell James - 1995 - Transactions of the Charles S. Peirce Society 31 (3):660-670.
     
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  5. Understanding John Dewey: Nature and Cooperative Intelligence[REVIEW]J. E. Tiles - 1997 - International Studies in Philosophy 29 (2):117-118.
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  6. Understanding John Dewey: Nature and Cooperative Intelligence[REVIEW]Robert Talisse - 1995 - Newsletter of the Society for the Advancement of American Philosophy 23 (72):14-16.
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  7.  16
    'Adaptive' and 'Cooperative' Computer Systems — A Challenge for Sociological Research.Michael Paetau - 1991 - AI and Society 5 (1):61-70.
    The vision of the new generation of office systems is based on the hypothesis that an automatic support system is all the more useful and acceptable, the more systems behaviour and performance are in accordance with features ofhuman behaviour. Consequently recent development activities are influenced by the paradigm of the computer as man's “cooperative assistant”. The metaphors ofassistance andcooperation illustrate some major requirements to be met by new office systems. Cooperative office systems will raise a set of new (...)
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    Knowledge in Co-Action: Social Intelligence in Collaborative Design Activity. [REVIEW]Satinder P. Gill & Jan Borchers - 2004 - AI and Society 18 (1):86-86.
    Skilled cooperative action means being able to understand the communicative situation and know how and when to respond appropriately for the purpose at hand. This skill is of the performance of knowledge in co-action and is a form of social intelligence for sustainable interaction. Social intelligence, here, denotes the ability of actors and agents to manage their relationships with each other. Within an environment we have people, tools, artefacts and technologies that we engage with. Let us consider (...)
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  9. Cooperative Feeding and Breeding, and the Evolution of Executive Control.Krist Vaesen - 2012 - Biology and Philosophy 27 (1):115-124.
    Dubreuil (Biol Phil 25:53–73, 2010b , this journal) argues that modern-like cognitive abilities for inhibitory control and goal maintenance most likely evolved in Homo heidelbergensis , much before the evolution of oft-cited modern traits, such as symbolism and art. Dubreuil’s argument proceeds in two steps. First, he identifies two behavioral traits that are supposed to be indicative of the presence of a capacity for inhibition and goal maintenance: cooperative feeding and cooperative breeding. Next, he tries to show that (...)
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    Philosophy and Distributed Artificial Intelligence: The Case of Joint Intention.Raimo Tuomela - 1996 - In N. Jennings & G. O'Hare (eds.), Foundations of Distributed Artificial Intelligence. Wiley.
    In current philosophical research the term 'philosophy of social action' can be used - and has been used - in a broad sense to encompass the following central research topics: 1) action occurring in a social context; this includes multi-agent action; 2) joint attitudes (or "we-attitudes" such as joint intention, mutual belief) and other social attitudes needed for the explication and explanation of social action; 3) social macro-notions, such as actions performed by social groups and properties of social groups such (...)
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  11.  25
    Review of James Campbell, Understanding John Dewey. [REVIEW]H. G. Callaway - 1997 - Philosophical Quarterly 47 (187):272-275.
    James Campbell's Understanding John Dewey represents the latest of his series of recent books, focused on the classical pragmatist tradition. In The Community Reconstructs. Campbell capably explored the meaning and relevance of pragmatic social thought, urging that the social pragmatists combined 'the inquiring and critical spirit of Peirce' with 'issues of general and direct human concern that interested James. Dewey is 'the most important figure of this movement' and the "primary figure' for the earlier book. Campbell now engages Dewey more (...)
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    Designing Convivial Digital Cities: A Social Intelligence Design Approach. [REVIEW]Patrice Caire - 2009 - AI and Society 24 (1):97-114.
    Conviviality has been identified as a key concept necessary to web communities, such as digital cities, and while it has been simultaneously defined in literature as individual freedom realized in personal interdependence, rational and cooperative behavior and normative instrument, no model for conviviality has yet been proposed for computer science. In this article, we raised the question whether social intelligence design could be used to designing convivial digital cities. We first looked at digital cities and identified, from a (...)
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    Enhancing Creativity, Innovation and Cooperation.Robert C. Muller - 1993 - AI and Society 7 (1):4-39.
    The paper explores the creative thinking process and throws light on creativity enhancement. From the perspective of possible creativity enhancement both the characteristics of creativity and the creative thinking process are discussed, together with an analysis of the process and its common factors. Constraints on innovation (as a special type of creativity), innovation management and the acceptance of change are discussed; creativity between cooperating individuals is also examined. Some possible computer-based tools to enhance creativity, including innovation, are discussed. A framework (...)
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  14. Modeling Cooperative Actions Using an Extended BDI Logic TOMATOes.Naoyuki Nide, Shiro Takata & Megumi Fujita - 2011 - Transactions of the Japanese Society for Artificial Intelligence 26:13-24.
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  15. Cooperative Problem Solving Against Adversary: Quantified Distributed Constraint Satisfaction Problem.Satomi Baba, Atsushi Iwasaki, Makoto Yokoo, Marius C. Silaghi, Katsutoshi Hirayama & Toshihiro Matsui - 2011 - Transactions of the Japanese Society for Artificial Intelligence 26:136-146.
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  16. Multi-Agent Cooperative Reasoning Using E_-Knowledge and _I-Knowledge.Lifeng He, Yuyan Chao, Tsuyoshi Nakamura & Hidenori Itoh - 2002 - Transactions of the Japanese Society for Artificial Intelligence 17 (3):224-229.
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  17. Future Progress in Artificial Intelligence: A Survey of Expert Opinion.Vincent C. Müller & Nick Bostrom - 2016 - In Fundamental Issues of Artificial Intelligence. Springer. pp. 553-571.
    There is, in some quarters, concern about high–level machine intelligence and superintelligent AI coming up in a few decades, bringing with it significant risks for humanity. In other quarters, these issues are ignored or considered science fiction. We wanted to clarify what the distribution of opinions actually is, what probability the best experts currently assign to high–level machine intelligence coming up within a particular time–frame, which risks they see with that development, and how fast they see these developing. (...)
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  18. Editorial: Risks of General Artificial Intelligence.Vincent C. Müller - 2014 - Journal of Experimental and Theoretical Artificial Intelligence 26 (3):297-301.
    This is the editorial for a special volume of JETAI, featuring papers by Omohundro, Armstrong/Sotala/O’Heigeartaigh, T Goertzel, Brundage, Yampolskiy, B. Goertzel, Potapov/Rodinov, Kornai and Sandberg. - If the general intelligence of artificial systems were to surpass that of humans significantly, this would constitute a significant risk for humanity – so even if we estimate the probability of this event to be fairly low, it is necessary to think about it now. We need to estimate what progress we can expect, (...)
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  19. Artificial Intelligence: Its Scope and Limits.James H. Fetzer - 1990 - Kluwer Academic Publishers.
    1. WHAT IS ARTIFICIAL INTELLIGENCE? One of the fascinating aspects of the field of artificial intelligence (AI) is that the precise nature of its subject ..
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  20. One Decade of Universal Artificial Intelligence.Marcus Hutter - 2012 - In Pei Wang & Ben Goertzel (eds.), Theoretical Foundations of Artificial General Intelligence. Springer. pp. 67--88.
    The first decade of this century has seen the nascency of the first mathematical theory of general artificial intelligence. This theory of Universal Artificial Intelligence (UAI) has made significant contributions to many theoretical, philosophical, and practical AI questions. In a series of papers culminating in book (Hutter, 2005), an exciting sound and complete mathematical model for a super intelligent agent (AIXI) has been developed and rigorously analyzed. While nowadays most AI researchers avoid discussing intelligence, the award-winning PhD (...)
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    Social Intelligence: How to Integrate Research? A Mechanistic Perspective.Marcin Miłkowski - 2014 - Proceedings of the European Conference on Social Intelligence (ECSI-2014).
    Is there a field of social intelligence? Many various disciplines ap-proach the subject and it may only seem natural to suppose that different fields of study aim at explaining different phenomena; in other words, there is no spe-cial field of study of social intelligence. In this paper, I argue for an opposite claim. Namely, there is a way to integrate research on social intelligence, as long as one accepts the mechanistic account to explanation. Mechanistic inte-gration of different (...)
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    A Multi-INT Semantic Reasoning Framework for Intelligence Analysis Support.Janssen Terry, Basik Herbert, Dean Mike & Barry Smith - 2010 - In Ontologies and Semantic Technologies for the Intelligence Community. Ios Press, Amsterdam. pp. 57-69.
    Lockheed Martin Corp. has funded research to generate a framework and methodology for developing semantic reasoning applications to support the discipline oflntelligence Analysis. This chapter outlines that framework, discusses how it may be used to advance the information sharing and integrated analytic needs of the Intelligence Community, and suggests a system I software architecture for such applications.
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  23.  33
    IAO-Intel: An Ontology of Information Artifacts in the Intelligence Domain.Barry Smith, Tatiana Malyuta, Ron Rudnicki, William Mandrick, David Salmen, Peter Morosoff, Danielle K. Duff, James Schoening & Kesny Parent - 2013 - In Proceedings of the Eighth International Conference on Semantic Technologies for Intelligence, Defense, and Security (STIDS), CEUR, vol. 1097. pp. 33-40.
    We describe on-going work on IAO-Intel, an information artifact ontology developed as part of a suite of ontologies designed to support the needs of the US Army intelligence community within the framework of the Distributed Common Ground System (DCGS-A). IAO-Intel provides a controlled, structured vocabulary for the consistent formulation of metadata about documents, images, emails and other carriers of information. It will provide a resource for uniform explication of the terms used in multiple existing military dictionaries, thesauri and metadata (...)
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    On the Artificiality of Artificial Intelligence.Hans F. M. Crombag - 1993 - Artificial Intelligence and Law 2 (1):39-49.
    In this article the question is raised whether artificial intelligence has any psychological relevance, i.e. contributes to our knowledge of how the mind/brain works. It is argued that the psychological relevance of artificial intelligence of the symbolic kind is questionable as yet, since there is no indication that the brain structurally resembles or operates like a digital computer. However, artificial intelligence of the connectionist kind may have psychological relevance, not because the brain is a neural network, but (...)
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    Three Philosophical Lessons for the Analysis of Criminal and Military Intelligence.Christopher Mole - 2012 - Intelligence and National Security 27 (4):441-58.
    It has recently been suggested that philosophy – in particular epistemology – has a contribution to make to the analysis of criminal and military intelligence. The present article pursues this suggestion, taking three phenomena that have recently been studied by philosophers, and showing that they have important implications for the gathering and sharing of intelligence, and for the use of intelligence in the determining of military strategy. The phenomena discussed are: (1) Simpson's Paradox, (2) the distinction between (...)
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  26.  14
    Money is Power: Monetary Intelligence—Love of Money and Temptation of Materialism Among Czech University Students. [REVIEW]Soňa Lemrová, Eva Reiterová, Renáta Fatěnová, Karel Lemr & Thomas Li-Ping Tang - 2014 - Journal of Business Ethics 125 (2).
    In this study, we develop a theoretical model of monetary intelligence (MI), explore the extent to which individuals’ meaning of money is related to the pursuit of materialistic purposes, and test our model using the whole sample and across college major and gender. We select the 15-item love of money (LOM) construct—Factors Good, Evil (Affective), Budget (Behavioral), Achievement, and Power (Cognitive)—from the Money Ethic Scale and Factors Success and Centrality and two indicators—from the Materialism Scale. Based on our data (...)
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    Temptation, Monetary Intelligence (Love of Money), and Environmental Context on Unethical Intentions and Cheating.Jingqiu Chen, Thomas Li-Ping Tang & Ningyu Tang - 2014 - Journal of Business Ethics 123 (2):1-23.
    In Study 1, we test a theoretical model involving temptation, monetary intelligence (MI), a mediator, and unethical intentions and investigate the direct and indirect paths simultaneously based on multiple-wave panel data collected in open classrooms from 492 American and 256 Chinese students. For the whole sample, temptation is related to low unethical intentions indirectly. Multi-group analyses reveal that temptation predicts unethical intentions both indirectly and directly for male American students only; but not for female American students. For Chinese students, (...)
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    Falling or Not Falling Into Temptation? Multiple Faces of Temptation, Monetary Intelligence, and Unethical Intentions Across Gender.Thomas Li-Ping Tang & Toto Sutarso - 2013 - Journal of Business Ethics 116 (3):529-552.
    We develop a theoretical model, explore the relationship between temptation (both reflective and formative) and unethical intentions by treating monetary intelligence (MI) as a mediator, and examine the direct (temptation to unethical intentions) and indirect (temptation to MI to unethical intentions) paths simultaneously based on multiple-wave panel data collected from 340 part-time employees and university (business) students. The positive indirect path suggested that yielding to temptation (e.g., high cognitive impairment and lack of self-control) led to poor MI (low stewardship (...)
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  29.  77
    Intelligence Vs. Wisdom: The Love of Money, Machiavellianism, and Unethical Behavior Across College Major and Gender.Thomas Li-Ping Tang & Yuh-Jia Chen - 2008 - Journal of Business Ethics 82 (1):1-26.
    This research investigates the efficacy of business ethics intervention, tests a theoretical model that the love of money is directly or indirectly related to propensity to engage in unethical behavior (PUB), and treats college major (business vs. psychology) and gender (male vs. female) as moderators in multi-group analyses. Results suggested that business students who received business ethics intervention significantly changed their conceptions of unethical behavior and reduced their propensity to engage in theft; while psychology students without intervention had no such (...)
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  30. Impact of Emotional Intelligence, Ethical Climate, and Behavior of Peers on Ethical Behavior of Nurses.Satish P. Deshpande & Jacob Joseph - 2009 - Journal of Business Ethics 85 (3):403-410.
    This study examines factors impacting ethical behavior of 103 hospital nurses. The level of emotional intelligence and ethical behavior of peers had a significant impact on ethical behavior of nurses. Independence climate had a significant impact on ethical behavior of nurses. Other ethical climate types such as professional, caring, rules, instrumental, and efficiency did not impact ethical behavior of respondents. Implications of this study for researchers and practitioners are discussed.
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  31. The Case for Government by Artificial Intelligence.Steven James Bartlett - 2016 - Willamette University Faculty Research Website: Http://Www.Willamette.Edu/~Sbartlet/Documents/Bartlett_The%20Case%20for%20Government%20by%20Artifici al%20Intelligence.Pdf.
    THE CASE FOR GOVERNMENT BY ARTIFICIAL INTELLIGENCE. Tired of election madness? The rhetoric of politicians? Their unreliable promises? And less than good government? -/- Until recently, it hasn’t been hard for people to give up control to computers. Not very many people miss the effort and time required to do calculations by hand, to keep track of their finances, or to complete their tax returns manually. But relinquishing direct human control to self-driving cars is expected to be more of (...)
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    Witness Testimony Evidence: Argumentation, Artificial Intelligence, and Law.Douglas N. Walton - 2008 - Cambridge University Press.
    Recent work in artificial intelligence has increasingly turned to argumentation as a rich, interdisciplinary area of research that can provide new methods related to evidence and reasoning in the area of law. Douglas Walton provides an introduction to basic concepts, tools and methods in argumentation theory and artificial intelligence as applied to the analysis and evaluation of witness testimony. He shows how witness testimony is by its nature inherently fallible and sometimes subject to disastrous failures. At the same (...)
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  33.  88
    Epistemological Intelligence.Steven James Bartlett - 2017 - Willamette University Faculty Research Website.
    The monograph’s twofold purpose is to recognize epistemological intelligence as a distinguishable variety of human intelligence, one that is especially important to philosophers, and to understand the challenges posed by the psychological profile of philosophers that can impede the development and cultivation of the skills associated with epistemological intelligence.
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  34. Safety Engineering for Artificial General Intelligence.Roman Yampolskiy & Joshua Fox - 2013 - Topoi 32 (2):217-226.
    Machine ethics and robot rights are quickly becoming hot topics in artificial intelligence and robotics communities. We will argue that attempts to attribute moral agency and assign rights to all intelligent machines are misguided, whether applied to infrahuman or superhuman AIs, as are proposals to limit the negative effects of AIs by constraining their behavior. As an alternative, we propose a new science of safety engineering for intelligent artificial agents based on maximizing for what humans value. In particular, we (...)
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  35. The Philosophy of Artificial Intelligence.Margaret A. Boden (ed.) - 1990 - Oxford University Press.
    This interdisciplinary collection of classical and contemporary readings provides a clear and comprehensive guide to the many hotly-debated philosophical issues at the heart of artificial intelligence.
     
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  36.  70
    Freedom and Privacy in Ambient Intelligence.Philip Brey - 2005 - Ethics and Information Technology 7 (3):157-166.
    This paper analyzes ethical aspects of the new paradigm of Ambient Intelligence, which is a combination of Ubiquitous Computing and Intelligent User Interfaces (IUI’s). After an introduction to the approach, two key ethical dimensions will be analyzed: freedom and privacy. It is argued that Ambient Intelligence, though often designed to enhance freedom and control, has the potential to limit freedom and autonomy as well. Ambient Intelligence also harbors great privacy risks, and these are explored as well.
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  37. Cooperative Learning, Critical Thinking and Character. Techniques to Cultivate Ethical Deliberation.Nancy Matchett - 2009 - Public Integrity 12 (1).
    Effective ethics teaching and training must cultivate both the critical thinking skills and the character traits needed to deliberate effectively about ethical issues in personal and professional life. After highlighting some cognitive and motivational obstacles that stand in the way of this task, the article draws on educational research and the author's experience to demonstrate how cooperative learning techniques can be used to overcome them.
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  38.  33
    The Impact of Emotional Intelligence on the Ethical Judgment of Managers.John Angelidis & Nabil A. Ibrahim - 2011 - Journal of Business Ethics 99 (S1):111-119.
    In recent years there has been a substantial amount of research on emotional intelligence (EI) across a wide range of disciplines. Also, this term has been receiving increasing attention in the popular business press. This article extends previous research by seeking to determine whether there is a relationship between emotional intelligence and ethical judgment among practicing managers with respect to questions of ethical nature that can arise in their professional activity. It analyzes the results of a survey of (...)
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  39. Views Into the Chinese Room: New Essays on Searle and Artificial Intelligence.John M. Preston & John Mark Bishop (eds.) - 2002 - Oxford University Press.
    The most famous challenge to computational cognitive science and artificial intelligence is the philosopher John Searle's "Chinese Room" argument.
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  40. HCI Model with Learning Mechanism for Cooperative Design in Pervasive Computing Environment.Hong Liu, Bin Hu & Philip Moore - 2015 - Journal of Internet Technology 16.
    This paper presents a human-computer interaction model with a three layers learning mechanism in a pervasive environment. We begin with a discussion around a number of important issues related to human-computer interaction followed by a description of the architecture for a multi-agent cooperative design system for pervasive computing environment. We present our proposed three- layer HCI model and introduce the group formation algorithm, which is predicated on a dynamic sharing niche technology. Finally, we explore the cooperative reinforcement learning (...)
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    The Influence of Ethics Instruction, Religiosity, and Intelligence on Cheating Behavior.M. Bloodgood James, H. Turnley William & Mudrack Peter - 2008 - Journal of Business Ethics 82 (3):557-571.
    This study examines the influence of ethics instruction, religiosity, and intelligence on cheating behavior. A sample of 230 upper level, undergraduate business students had the opportunity to increase their chances of winning money in an experimental situation by falsely reporting their task performance. In general, the results indicate that students who attended worship services more frequently were less likely to cheat than those who attended worship services less frequently, but that students who had taken a course in business ethics (...)
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  42.  61
    Implications for Virtue Epistemology From Psychological Science: Intelligence as an Interactionist Virtue.Mark Alfano & Gus Skorburg - forthcoming - In Heather Battaly (ed.), Handbook of Virtue Epistemology. Routledge.
    This chapter aims to expand the body of empirical literature considered relevant to virtue theory beyond the burned-over districts that are the situationist challenges to virtue ethics and epistemology. We thus raise a rather simple-sounding question: why doesn’t virtue epistemology have an account of intelligence? In the first section, we sketch the history and present state of the person-situation debate to argue for the importance of an interactionist framework in bringing psychological research in general, and intelligence research in (...)
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  43. An Account of Boeschian Cooperative Behaviour.Olle Blomberg - 1st ed. 2015 - In Catrin Misselhorn (ed.), Collective Agency and Cooperation in Natural and Artificial Systems. Springer Verlag.
    Philosophical accounts of joint action are often prefaced by the observation that there are two different senses in which several agents can intentionally perform an action Φ, such as go for a walk or capture the prey. The agents might intentionally Φ together, as a collective, or they might intentionally Φ in parallel, where Φ is distributively assigned to the agents, considered as a set of individuals. The accounts are supposed to characterise what is distinctive about activities in which several (...)
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  44. Universal Intelligence: A Definition of Machine Intelligence.Shane Legg & Marcus Hutter - 2007 - Minds and Machines 17 (4):391-444.
    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 (...) for arbitrary machines. We believe that this equation formally captures the concept of machine intelligence in the broadest reasonable sense. We then show how this formal definition is related to the theory of universal optimal learning agents. Finally, we survey the many other tests and definitions of intelligence that have been proposed for machines. (shrink)
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  45. A Framework for the Foundation of the Philosophy of Artificial Intelligence.Viola Schiaffonati - 2003 - Minds and Machines 13 (4):537-552.
    The peculiarity of the relationship between philosophy and Artificial Intelligence (AI) has been evidenced since the advent of AI. This paper aims to put the basis of an extended and well founded philosophy of AI: it delineates a multi-layered general framework to which different contributions in the field may be traced back. The core point is to underline how in the same scenario both the role of philosophy on AI and role of AI on philosophy must be considered. Moreover, (...)
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    AIonAI: A Humanitarian Law of Artificial Intelligence and Robotics.Hutan Ashrafian - 2015 - Science and Engineering Ethics 21 (1):29-40.
    The enduring progression of artificial intelligence and cybernetics offers an ever-closer possibility of rational and sentient robots. The ethics and morals deriving from this technological prospect have been considered in the philosophy of artificial intelligence, the design of automatons with roboethics and the contemplation of machine ethics through the concept of artificial moral agents. Across these categories, the robotics laws first proposed by Isaac Asimov in the twentieth century remain well-recognised and esteemed due to their specification of preventing (...)
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    Artificial Intelligence and Robot Responsibilities: Innovating Beyond Rights.Hutan Ashrafian - 2015 - Science and Engineering Ethics 21 (2):317-326.
    The enduring innovations in artificial intelligence and robotics offer the promised capacity of computer consciousness, sentience and rationality. The development of these advanced technologies have been considered to merit rights, however these can only be ascribed in the context of commensurate responsibilities and duties. This represents the discernable next-step for evolution in this field. Addressing these needs requires attention to the philosophical perspectives of moral responsibility for artificial intelligence and robotics. A contrast to the moral status of animals (...)
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  48.  47
    Impact of Emotional Intelligence and Other Factors on Perception of Ethical Behavior of Peers.Jacob Joseph, Kevin Berry & Satish P. Deshpande - 2009 - Journal of Business Ethics 89 (4):539-546.
    This study investigates factors impacting perceptions of ethical conduct of peers of 293 students in four US universities. Self-reported ethical behavior and recognition of emotions in others (a dimension of emotional intelligence) impacted perception of ethical behavior of peers. None of the other dimensions of emotional intelligence were significant. Age, Race, Sex, GPA, or type of major (business versus nonbusiness) did not impact perception of ethical behavior of peers. Implications of the results of the study for business schools (...)
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  49.  20
    Mandevillian Intelligence: From Individual Vice to Collective Virtue.Paul Smart - forthcoming - In Joseph Adam Carter, Andy Clark, Jesper Kallestrup, Spyridon Orestis Palermos & Duncan Pritchard (eds.), Socially-Extended Epistemology. Oxford, UK: Oxford University Press.
    Mandevillian intelligence is a specific form of collective intelligence in which individual cognitive shortcomings, limitations and biases play a positive functional role in yielding various forms of collective cognitive success. When this idea is transposed to the epistemological domain, mandevillian intelligence emerges as the idea that individual forms of intellectual vice may, on occasion, support the epistemic performance of some form of multi-agent ensemble, such as a socio-epistemic system, a collective doxastic agent, or an epistemic group agent. (...)
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  50.  18
    Prisoner's Dilemmas, Cooperative Norms, and Codes of Business Ethics.Steven Scalet - 2006 - Journal of Business Ethics 65 (4):309 - 323.
    Prisoner's dilemmas can lead rational people to interact in ways that lead to persistent inefficiencies. These dilemmas create a problem for institutional designers to solve: devise institutions that realign individual incentives to achieve collectively rational outcomes. I will argue that we do not always want to eliminate misalignments between individual incentives and efficient outcomes. Sometimes we want to preserve prisoner's dilemmas, even when we know that they systematically will lead to inefficiencies. No doubt, prisoner's dilemmas can create problems, but they (...)
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