Formal dialogue games have been studied in philosophy since at least the time of Aristotle. Recently they have been applied in various contexts in computer science and artificial intelligence, particularly as the basis for interaction between autonomous software agents. We review these applications and discuss the many open research questions and challenges at this exciting interface between philosophy and computer science.

In the current research on multi-agent systems (MAS), many theoretical issues related to sociocultural processes have been touched upon. These issues are in fact intellectually profound and should prove to be significant for MAS. Moreover, these issues should have equally significant impact on cognitive science, if we ever try to understand cognition in the broad context of sociocultural environments in which cognitive agents exist. Furthermore, cognitive models as studied in cognitive science can help us in a substantial (...) way to better probe multi-agent issues, by taking into account essential characteristics of cognitive agents and their various capacities. In this paper, we systematically examine the interplay among social sciences, MAS, and cognitive science. We try to justify an integrated approach for MAS which incorporates different perspectives. We show how a new cognitive model, CLARION, can embody such an integrated approach through a combination of autonomous learning and assimilation. (shrink)

We argue that the notion of trust, as it figures in an ethical context, can be illuminated by examining research in artificial intelligence on multi-agent systems in which commitment and trust are modeled. We begin with an analysis of a philosophical model of trust based on Richard Holton’s interpretation of P. F. Strawson’s writings on freedom and resentment, and we show why this account of trust is difficult to extend to artificial agents (AAs) as well as to (...) other non-human entities. We then examine Margaret Urban Walker’s notions of “default trust” and “default, diffuse trust” to see how these concepts can inform our analysis of trust in the context of AAs. In the final section, we show how ethicists can improve their understanding of important features in the trust relationship by examining data resulting from a classic experiment involving AAs. (shrink)

This paper describes the escape/intervention concept as it is used in the agent growing environment framework. The Escape and Intervention is used in many multi-disciplinary areas, including agent research, artificial intelligence, groupware and workflow, process support, software engineering, and social sciences. Based on an ontological perspective, this paper explains how an interaction-oriented agent architecture and language (used for modelling, simulation, and development) makes use of an interaction pattern that is inspired from social contexts seen as multi-agent systems.

This paper provides practitioner and academic insights into the importance of examining non-technical skills in a multiteam system emergency response. The case of public health professionals is highlighted, illustrated with unique qualitative field data which focused upon the use of non-technical skills at a meso level of analysis. Results reflected the importance of context upon the multiteam system and highlighted seven non-technical skills used by public health professionals to support an effective response. Recommendations for future research and implications for (...) practice are noted for this hard to access professional group, located within emerging advances in the scientific inquiry of complex and increasingly evident, multi-team systems. (shrink)

The legitimacy of multi-stakeholder initiatives (MSIs) as institutions for social and environmental governance in the global economy has received much scholarly attention over the past years. To date, however, research has yet to focus on assessing the legitimacy of MSIs in their interactions with other actors within larger systems of deliberation. Drawing on the deliberative systems perspective developed within deliberative democracy theory, we theorise a normative framework to evaluate the roles of MSIs within the broader systems (...) of governance they co-construct through their interactions with other initiatives, governments, non-governmental organisations, and other external actors. As we demonstrate in our evaluation of the illustrative case of the Bangladesh Accord on Fire and Building Safety as a MSI in the context of the Bangladeshi garment industry, this framework can help researchers assess whether a MSI ultimately serves to enhance or undermine the deliberative legitimacy of the overall system of which it forms a part. (shrink)

In the last decade the concept of context has been extensivelyexploited in many research areas, e.g., distributed artificialintelligence, multi agent systems, distributed databases, informationintegration, cognitive science, and epistemology. Three alternative approaches to the formalization of the notion ofcontext have been proposed: Giunchiglia and Serafini's Multi LanguageSystems (ML systems), McCarthy's modal logics of contexts, andGabbay's Labelled Deductive Systems.Previous papers have argued in favor of ML systems with respect to theother approaches. Our aim in this (...) paper is to support these arguments froma theoretical perspective. We provide a very general definition of ML systems, which covers allthe ML systems used in the literature, and we develop a proof theoryfor an important subclass of them: the MR systems. We prove variousimportant results; among other things, we prove a normal form theorem,the sub-formula property, and the decidability of an importantinstance of the class of the MR systems. The paper concludes with a detailed comparison among the alternativeapproaches. (shrink)

Multi-person pose estimation is a challenging problem. Bottom-up methods have been greatly studied because the prediction speed of top-down methods is related to the number of people in the input image, making these methods difficult to apply in real-time environments. To solve the problems of scale sensitivity and quantization error in bottom-up methods, it is necessary to have a model that can predict multi-scale keypoints and refine quantization error. To achieve this, we propose context feature and refined (...) network for multi-person pose estimation (CRNet), which can effectively solve the problems of scale sensitivity and quantization error in bottom-up methods. We use a multi-scale feature pyramid and context feature to achieve scale invariance of the network. We extract global and local features and then fuse them by attentional feature fusion (AFF) to obtain context feature that adapt to multi-scale keypoints. In addition, we propose an efficient refined network to solve the problem of quantization error and use multi-resolution supervised learning to further improve the prediction accuracy of CRNet. Comprehensive experiments are conducted on two benchmarks: COCO and MPII datasets. The average precision of CRNet reached 72.1 and 80.2%, respectively, surpassing most state-of-the-art methods. (shrink)

This paper explores some issues concerning how we should think about interventions (in the sense of unconfounded manipulations) of "upper-level" variables in contexts in which these supervene on but are not identical with lower-level realizers. It is argued that we should reject the demand that interventions on upper-level variables must leave their lower-level realizers unchanged– a requirement that within an interventionist framework would imply that upper-level variables are causally inert. Instead an intervention on an upper-level variable at the same time (...) changes its lower-level realizer in a way that is consistent with the change in the upper- level variable. The lower-level realizer should not be regarded as a potential "confounder" of upper-level causal relations, as in "exclusionist" arguments. Several proposals for making this precise are considered and several pro-exclusionist arguments are criticized. (shrink)

Attachment is an emotional bond between two people where one seeks care from the other. In the prototypical case, the child attaches to their mother. The most recent theoretical developments point out that attachment is multidimensional – meaning that the phenomenon pertains to multiple domains related to the relationship with the caregiver. However, researchers have so far modeled attachment computationally by mostly adopting a classical categorical (as opposed to dimensional) standpoint that sees the system as controlling caregiver proximity. In contrast, (...) we adopt here adimensional perspective(DP) and consider dimensions to be the system’s set-goals. We hypothesize that the resulting multidimensional controller should lead to valid (or even better) models of the phenomenon. To start testing this hypothesis, we built a DP-informed agent-based model of attachment inspired by the widely-studied Strange Situation Procedure. In this context, child and mother show the nature of attachment bonds through their behavioral and emotional expressions. By modeling them as point-agents moving in a two-dimensional arena, we simulated child-mother interactions for the avoidant and ambivalent attachment dimensions. The generated dynamical patterns – characterized by the alternation between approach and exploration – matched those described in the attachment literature, thereby confirming the implementability and validity of the DP. (shrink)

Universities are increasingly part of wider geographical processes including international, national and sub-national actors. Universities now find themselves having to pay attention to many more political centres than before, as seen, for example, with research grants, assessments and teaching accreditation from transnational bodies, individual states and regional authorities. As an institution, the university constitutes a place which needs to be situated within a wider space and the geography of power-relations. This article traces these spatial developments in relation to recent policy (...) changes in the Japanese context. The current university reforms, set against the development of the globalising knowledge-based economy and regionalization of innovation policies, are examined in relation to the changing role of universities in multi-spacial innovation systems. (shrink)

Awareness is a concept that has been frequently studied in the context of Computer Supported Cooperative Work. However, other fields of computer science can benefit from this concept. Recent research in the multi-agent systems field has highlighted the relevance of complex interaction models such as multi-party communication and context awareness for simulation and adaptive systems. In this article, we present a generic interaction model that enables to use these different models in a standardized way. (...) Emerging as a first-order abstraction, the environment, in the sense of a common medium for the agents, is a suitable paradigm to support the agents’ awareness. We present an operational model, called Environment as Active Support of Interaction, to take into account all the agents that can be interested in a communication. This model is then extended for the regulation of multiagent systems interactions. Priority policies are given to manage the rules governing the context (un-)awareness of the agents. We also present a new AUML connector to create protocols that take into account the agent awareness to implement proactive behaviour, and several communication scenarios are proposed to show practical applications of this model. (shrink)

Background Encounters of moral distress have long-term consequences on healthcare workers’ physical and mental health, leading to job dissatisfaction, reduced patient care, and high levels of burnout, exhaustion, and intentions to quit. Yet, research on approaches to ameliorate moral distress across the health workforce is limited. Research Objective The aim of our study was to qualitatively explore multi-professional perspectives of healthcare social workers, chaplains, and patient liaisons on ways to reduce moral distress and heighten well-being at a southern U.S. (...) academic medical center. Participants & Research Context Purposive sampling and chain-referral methods assisted with recruitment through hospital listservs, staff meetings, and newsletters. Interested participants contacted the principal investigator and all interviews were conducted in-person. Consent was attained prior to interviews. All interviews were recorded and transcribed verbatim. Research Design Directed content analysis was used to deductively organize codes and to develop themes in conjunction with the National Academy of Medicine’s National Plan for Health Workforce Well-Being. Rigor was attained through peer-debriefing, data triangulation methods, and frequent research team meetings. Ethical Considerations Ethics approval was obtained from the university and medical center institutional review boards. Findings Themes demonstrate that rather than offering interventions in the aftermath of moral distress, multilevel daily practices ought to be considered that pre-emptively identify and reduce morally distressing encounters through (1) the care team, (2) management and leadership, and (3) the health care industry. Strategies include interdisciplinary decision-making, trusting managerial relationships, and organizational policies and practices that explicitly invest in mental health promotion and diverse leadership opportunities. Conclusion Moral distress interventions ought to target short-term stress reactions while also addressing the long-term impacts of moral residue. Health systems must financially commit to an ethical workplace culture that explicitly values mental health and well-being. (shrink)

Multi-stakeholder initiatives claim to make production of commodities more socially and environmentally sustainable by regulating their members and through systems of certification. These claims, however, are highly contested. In this article, I examine how actors use MSI regulation with regard to land conflicts with a focus on the Roundtable on Sustainable Palm Oil. MSIs are a resource that actors in land conflicts can use to generate evidence that gives them leverage in their negotiations. To do so, actors employ (...) the interrelations between two kinds of land conflict: localized land conflicts between local land users, and disputes between more distant actors over aggregated land-use related to the sustainability of palm oil production. To demonstrate this, I use the notion of assemblage in two case studies from Sumatra, Indonesia. Thinking in terms of assemblage allows the contradictory but interrelated practices that shape MSIs to be understood. In distinct locally embedded processes, actors enact MSIs in contexts of unequal power relations, from which MSI governance emerges. The way in which access to an MSI is distributed among contending actors shapes MSI enactments and thus its governance. The unequal distribution of access to the RSPO results in a governance that favors companies over communities. (shrink)

This paper aims to review the empirical and theoretical research on engineering ethics education, by focusing on the challenges reported in the literature. The analysis is conducted at four levels of the engineering education system. First, the individual level is dedicated to findings about teaching practices reported by instructors. Second, the institutional level brings together findings about the implementation and presence of ethics within engineering programmes. Third, the level of policy situates findings about engineering ethics education in the context (...) of accreditation. Finally, there is the level of the culture of engineering education. The multi-level analysis allows us to address some of the limitations of higher education research which tends to focus on individual actors such as instructors or remains focused on the levels of policy and practice without examining the deeper levels of paradigm and purpose guiding them. Our approach links some of the challenges of engineering ethics education with wider debates about its guiding paradigms. The main contribution of the paper is to situate the analysis of the theoretical and empirical findings reported in the literature on engineering ethics education in the context of broader discussions about the purpose of engineering education and the aims of reform programmes. We conclude by putting forward a series of recommendations for a socio-technical oriented reform of engineering education for ethics. (shrink)

We build a topological model, based on intuitionistic logic, for multi-agent biological systems (such as _Physarum polycephalum_, bacterial colonies or any other swarm), reacting to external nourishment stimuli. Our construction follows the topological description of brain activity, where particles (neurons) are activated by an external environment, represented by a topological space _X_ with an open cover \(\{U_i:i\in I\}\). The brain builds the model of this external space via the nerve (trace) of a topological space _X_. Here the body (...) of _Physarum polycephalum_ or a swarm made of networks of tubular structures represents a nerve (trace) of _X_ also which means that _Physarum polycephalum_ or a swarm gains orientation in the space of external stimuli even in the absence of any neural system. The logic of living organisms is based on open subsets of _X_ and thus can be represented by Heyting algebra (i.e. intuitionistically). We also consider the generalisation of the nerve construction to a categorical context, where the category is determined by the network structures of multi-agent biological system. This model can be generalised up to simulating the behaviour of any swarm by means of intuitionistic logic. (shrink)

In the contemporary digital age, recommender systems (RSs) play a fundamental role in managing information on online platforms: from social media to e-commerce, from travels to cultural consumptions, automated recommendations influence the everyday choices of users at an unprecedented scale. RSs are trained on users’ data to make targeted suggestions to individuals according to their expected preference, but their ultimate impact concerns all the multiple stakeholders involved in the recommendation process. Therefore, whilst RSs are useful to reduce information overload, (...) their deployment comes with significant ethical challenges, which are still largely unaddressed because of proprietary constraints and regulatory gaps that limit the effects of standard approaches to explainability and transparency. In this context, I address the ethical and social implications of automated recommendations by proposing a pro-ethical design framework aimed at reorienting the influence of RSs towards societal interest. In particular, after highlighting the problem of explanation for RSs, I discuss the application of beneficent informational nudging to the case of conversational recommender systems (CRSs), which rely on user-system dialogic interactions. Subsequently, through a comparison with standard recommendations, I outline the incentives for platforms and providers in adopting this approach and its benefits for both individual users and society. (shrink)

The promises and risks of Artificial Intelligence permeate current policy statements and have attracted much attention by AI governance research. However, most analyses focus exclusively on AI policy on the national and international level, overlooking existing federal governance structures. This is surprising because AI is connected to many policy areas, where the competences are already distributed between the national and subnational level, such as research or economic policy. Addressing this gap, this paper argues that more attention should be dedicated to (...) subnational efforts to shape AI and asks which themes are discussed in subnational AI policy documents with a case study of Germany’s 16 states. Our qualitative analysis of 34 AI policy documents issued on the subnational level demonstrates that subnational efforts focus on knowledge transfer between research and industry actors, the commercialization of AI, different economic identities of the German states, and the incorporation of ethical principles. Because federal states play an active role in AI policy, analysing AI as a policy issue on different levels of government is necessary and will contribute to a better understanding of the developments and implementations of AI strategies in different national contexts. (shrink)

Contemplating the nature, practice and study of private law, this comprehensive book offers a detailed overview of private law's theoretical dimensions. It promotes a reflective attitude towards the topic, encouraging the reader to question how private law is practiced and studied, what this implies for their own engagement in the field and what kind of private lawyer they want to be. Marc Loth explores the central notion that private law is a multi-layered system which can only be fully apprehended (...) in context. This thought-provoking book draws on examples from a range of legal systems to provide philosophical perspectives on the diverse dimensions of private law. Chapters examine the concept, history, language, values, methods and discipline of private law, as well as legal professionalism and the expertise of the private lawyer. Private Law in Context will be a key resource for scholars and postgraduate students interested in legal theory, legal philosophy, law and society and the nature of private law as a system and a practice. (shrink)

After more than a century of research on glycolysis, we have detailed descriptions of its molecular organization, but despite this wealth of knowledge, linking the enzyme properties to metabolic pathway behavior remains challenging. These challenges arise from multi‐layered regulation and the context and time dependence of component functions. However, when viewed as a system that functions according to the principles of supply and demand, a simplifying theoretical framework can be applied to study its regulation logic and to assess (...) the coherence of experimental interpretations. These principles are universally applicable, as they emphasize the common metabolic tasks of glycolysis: the provision of free‐energy carriers, and precursors for biosynthesis and stress‐related compounds. Here we will review the regulation of multi‐tasking by glycolysis and consider how an understanding of this central metabolic pathway can be pursued using general principles, rather than focusing on the biochemical details of constituent components. (shrink)

Precision medicine and molecular systems medicine (MSM) are highly utilized and successful approaches to improve understanding, diagnosis, and treatment of many diseases from bench-to-bedside. Especially in the COVID-19 pandemic, molecular techniques and biotechnological innovation have proven to be of utmost importance for rapid developments in disease diagnostics and treatment, including DNA and RNA sequencing technology, treatment with drugs and natural products and vaccine development. The COVID-19 crisis, however, has also demonstrated the need for systemic thinking and transdisciplinarity and the (...) limits of MSM: the neglect of the bio-psycho-social systemic nature of humans and their context as the object of individual therapeutic and population-oriented interventions. COVID-19 illustrates how a medical problem requires a transdisciplinary approach in epidemiology, pathology, internal medicine, public health, environmental medicine, and socio-economic modeling. Regarding the need for conceptual integration of these different kinds of knowledge we suggest the application of general system theory (GST). This approach endorses an organism-centered view on health and disease, which according to Ludwig von Bertalanffy who was the founder of GST, we call Organismal Systems Medicine (OSM). We argue that systems science offers wider applications in the field of pathology and can contribute to an integrative systems medicine by (i) integration of evidence across functional and structural differentially scaled subsystems, (ii) conceptualization of complex multilevel systems, and (iii) suggesting mechanisms and non-linear relationships underlying the observed phenomena. We underline these points with a proposal on multi-level systems pathology including neurophysiology, endocrinology, immune system, genetics, and general metabolism. An integration of these areas is necessary to understand excess mortality rates and polypharmacological treatments. In the pandemic era this multi-level systems pathology is most important to assess potential vaccines, their effectiveness, short-, and long-time adverse effects. We further argue that these conceptual frameworks are not only valid in the COVID-19 era but also important to be integrated in a medicinal curriculum. (shrink)

This research synthesizes social exchange, organizational culture, and social identity theories to explore the boundary conditions of the relationship between high-performance work systems and employee organizational citizenship behavior. In particular, it draws on the China-specific management context. In this country, in spite of the wide use of a long-term-oriented and loose-control-focused Western-styled strategic human resource management model, a short-term-focused and tight-control-oriented error aversion culture is still popular. The study uses multi-source individual-level survey data in a large state-owned (...) enterprise to test the hypotheses. It is found that employee-experienced, Western-styled high-performance work systems positively impact a China-specific employee’s organizational citizenship behavior, and the—joint—moderation effects of employee-perceived error aversion culture and organizational identification are significant. The research findings deepen the understanding of the HRM-OCB relationship by demonstrating that culture and identity can jointly adjust the effects of HRM on OCB. The findings also challenge an established argument in the HRM-OCB literature that compatibility between employees’ personalities and organizational values – organizational identification – can enhance OCB. (shrink)

We show how faceted search using a combination of traditional classification systems and mixed-membership topic models can go beyond keyword search to inform resource discovery, hypothesis formulation, and argument extraction for interdisciplinary research. Our test domain is the history and philosophy of scientific work on animal mind and cognition. The methods can be generalized to other research areas and ultimately support a system for semi-automatic identification of argument structures. We provide a case study for the application of the methods (...) to the problem of identifying and extracting arguments about anthropomorphism during a critical period in the development of comparative psychology. We show how a combination of classification systems and mixed-membership models trained over large digital libraries can inform resource discovery in this domain. Through a novel approach of “drill-down” topic modeling—simultaneously reducing both the size of the corpus and the unit of analysis—we are able to reduce a large collection of fulltext volumes to a much smaller set of pages within six focal volumes containing arguments of interest to historians and philosophers of comparative psychology. The volumes identified in this way did not appear among the first ten results of the keyword search in the HathiTrust digital library and the pages bear the kind of “close reading” needed to generate original interpretations that is the heart of scholarly work in the humanities. Zooming back out, we provide a way to place the books onto a map of science originally constructed from very different data and for different purposes. The multilevel approach advances understanding of the intellectual and societal contexts in which writings are interpreted. (shrink)

Drug development regularly has to deal with complex circumstances on two levels: the local level of pharmacological intervention on specific target proteins, and the systems level of the effects of pharmacological intervention on the organism. Different development strategies in the recent history of early drug development can be understood as competing attempts at coming to grips with these multi-level complexities. Both rational drug design and high-throughput screening concentrate on the local level, while traditional empirical search strategies as well (...) as recent systems biology approaches focus on the systems level. The analysis of these strategies reveals serious obstacles to integrating the study of interventive and systems complexity in a systematic, methodical way. Due to some fairly general properties of biological networks and the available options for pharmaceutical intervention, drug development is captured in an obstinate methodological dilemma. It is argued that at least in typical cases, drug development therefore remains dependent on coincidence, serendipity or plain luck to bridge the gap between development methodology and actual therapeutic success. (shrink)

On 28 October 2018 the far-right candidate Jair Bolsonaro won the presidential elections in Brazil with 55% of the vote. This result has been viewed by many as yet another instance of the global rise of authoritarian populist leaders, grouping Bolsonaro alongside the likes of Hungary’s Viktor Orbán, Turkey’s Recep Tayyip Erdoğan, India’s Narendra Modi, or Donald Trump in the USA – indeed, Bolsonaro has been dubbed the “Trump of the Tropics.” The focus on Bolsonaro himself reflects the strong emphasis (...) on executives in a rapidly expanding literature suggesting the emergence of a new form of would-be autocrat who is democratically elected but who hollows out democratic rule over time. However, this Article argues that, far beyond Bolsonaro, the Brazilian experience is an important case-study as it prompts reflection on three fundamental propositions. First, any analysis of liberal democracy as the perceived object of attack must be highly cognizant of the democratic “starting point” and history of a given state. Second, an excessive focus on executive-led assaults on democratic rule can impede fuller analysis of a broader suite of actors and factors relevant to the (declining) health of the democratic system. Third, authoritarianism is a more appropriate analytical lens than populism for identifying potential democratic threats, especially in the Brazilian context. (shrink)

In some presentations of classical and intuitionistic logics, the objectlanguage is assumed to contain (two) truth-value constants: ⊤ (verum) and ⊥ (falsum), that are, respectively, true and false under every bivalent valuation. We are interested to define and study analogical constants ‡, 1 ≤ i ≤ n, that in an arbitrary multi-valued logic over truth-values V = {v1,..., vn} have the truth-value vi under every (multi-valued) valuation. As is well known, the absence or presence of such constants has (...) a significant deductive impact on the logics studied. We define such constants proof-theoretically via their associated I/E-rules in a natural-deduction proof system. In particular, we propose a generalization of the notions of contradiction and explosiveness of a logic to the context of multi-valued logics. (shrink)

Actuality of the usage of the food safety knowledge-based technologies is shown. The food safety stakeholders and information objects are presented. The set of ontologies and context areas which are described decision –making tasks and processes are shown. The basic ontology is presented as a means of conceptual representation of the field of food safety. The usage of decision-making is considered. Modern food processing technologies, food safety requirements, food safety requirements etc. are characterized by the need for complex and (...) rational solutions. It is necessary to consider different aspects of decision-making in food safety, which can be based not only on the knowledge of a particular subject area. The use of information and knowledge is a key task in any problem area related to the production and dissemination of knowledge, especially new types of unique content that are useful and accessible. The paper aim is to conceptually present an ontological system based on the use of context and ontologies and aimed at supporting decision making in the food safety management system. Food safety knowledge, which used in decision-making processes, is considered as the context knowledge and the knowledge that describes the content. The paper presents food safety stakeholders and provides information objects. The information and knowledge includes various aspects such as knowledge and information on the production and processing industry; and the food safety aspects. For this purpose, an interconnected set of ontologies is used, which is a multilevel associative structure: meta-ontology; basic ontology; context ontology; set of domain ontologies; realization ontology; user presentation and interaction ontology; model of inference machine. Implementation of food safety processes and integration of the components of decision-making is based on the presentation of the multi-level system of management and decision-making in it through a model of a context. The context framework takes into account different context domains, such as: purpose/result, actor, process/action, object, environment, facility, tools, presentation, location, and time. The ontology implementation builds an inter connected system of preparation and choice of solutions, both for the given problem and for interaction with other complexes of problems and tasks, allows to make decisions taking into account the consequences of their implementation. (shrink)

Social context is generally thought toinfluence how humans act. Here we argue thathumans rarely accept the context as it isgiven, but rather undertake conscious actionsto make it favourable. The example chosen isfrom northern Cameroon, where nomad herdsmeninduce the sedentary farmers to trust them, bydifferent means: creation of interpersonallinks, exhibition of good behaviours byrespecting certain norms. Trust is consideredas an element of the context, necessary forthem to perform acts that present a certainrisk. An attempt was made to translate (...) one ofthe traditional behaviours into a model,implemented in an artificial society:autonomous agents would make gifts in order tocreate an image of themselves in a group. Inthe simulations, a form of reputationstratification appears in time. One notes thatan agent can build the image it wants only ifthe part of the population that wants to beinvolved in the same dynamic is big enough. Asa conclusion, we suggest that althoughindividuals try to create consciously a contextfor their living, this is not just anindividual choice, but needs a commonbackground of rules, a context enabling contextcreation. (shrink)

Promoting ethical practice within an organization has been a continuous challenge in the business ethics community. To enrich organizational practices for promoting business ethics across an organization, this paper aims to introduce the voices of practitioners working in organizations that offer exemplary practices. Based on semi-structured interviews with 21 engineers working in the health products industry, we identified 12 pervasive ethical values that we grouped to four categories: fiduciary, economic, engineering, and process values. As ethics has been embraced as a (...) core element of the ethical practice of our study participants regardless of their rankings and roles in their organizations, we investigated organizational strategies for promoting ethical practice. We identified four categories of organizational strategies: symbols, memberships, practices, and systems. Each strategy affected the 12 ethical values in different ways. Lastly, we identified three characteristics of the industry contexts that appeared to influence ethical values: customer impact, economic norms, and highly regulated industry. We discuss how the findings from this paper can potentially promote new discussions and practices in the business ethics community. (shrink)

Organisms inherit various kinds of developmental information and cues from their parents. The study of inheritance systems is aimed at identifying and classifying the various mechanisms and processes of heredity, the types of hereditary information that is passed on by each, the functional interaction between the different systems, and the evolutionary consequences of these properties. We present the discussion of inheritance systems in the context of several debates. First, between proponents of monism about heredity (gene-centric views), (...) holism about heredity (Developmental Systems Theory), and those stressing the role of multiple systems of inheritance. Second, between those analyzing inheritance solely in terms of replication and transmission, and views that stress the multi-generation reproduction of phenotypic traits. A third debate is concerned with different criteria that have been proposed for identifying and delimiting inheritance systems. A fourth controversy revolves around the significance of the “Lamarckian” aspects of some of the inheritance systems that have been identified, such as epigenetic inheritance and behavioral inheritance, that allow the transmission of environmentally induced characters (i.e., “soft inheritance”). (shrink)

This article proposes the adoption of a multi-modal system for allocating vaccine doses during large transnational outbreaks of infectious diseases. The chosen allocative criteria (public health need; country-income level; qualification through funding; and, subsidiarily, a modified lottery system) are adapted from a current embodiment of allocative multi-modality outside the context of public health: the New York City Marathon.

This study concerns the sociotechnical bases of human autonomy. Drawing on recent literature on AI ethics, philosophical literature on dimensions of autonomy, and on independent philosophical scrutiny, we first propose a multi-dimensional model of human autonomy and then discuss how AI systems can support or hinder human autonomy. What emerges is a philosophically motivated picture of autonomy and of the normative requirements personal autonomy poses in the context of algorithmic systems. Ranging from consent to data collection (...) and processing, to computational tasks and interface design, to institutional and societal considerations, various aspects related to sociotechnical systems must be accounted for in order to get the full picture of potential effects of AI systems on human autonomy. It is clear how human agents can, for example, via coercion or manipulation, hinder each other’s autonomy, or how they can respect each other’s autonomy. AI systems can promote or hinder human autonomy, but can they literally respect or disrespect a person’s autonomy? We argue for a philosophical view according to which AI systems—while not moral agents or bearers of duties, and unable to literally respect or disrespect—are governed by so-called “ought-to-be norms.” This explains the normativity at stake with AI systems. The responsible people (designers, users, etc.) have duties and ought-to-do norms, which correspond to these ought-to-be norms. (shrink)

A common reductionist assumption is that macro-scale behaviors can be described "bottom-up" if only sufficient details about lower-scale processes are available. The view that an "ideal" or "fundamental" physics would be sufficient to explain all macro-scale phenomena has been met with criticism from philosophers of biology. Specifically, scholars have pointed to the impossibility of deducing biological explanations from physical ones, and to the irreducible nature of distinctively biological processes such as gene regulation and evolution. This paper takes a step back (...) in asking whether bottom-up modeling is feasible even when modeling simple physical systems across scales. By comparing examples of multi-scale modeling in physics and biology, we argue that the “tyranny of scales” problem presents a challenge to reductive explanations in both physics and biology. The problem refers to the scale-dependency of physical and biological behaviors that forces researchers to combine different models relying on different scale-specific mathematical strategies and boundary conditions. Analyzing the ways in which different models are combined in multi-scale modeling also has implications for the relation between physics and biology. Contrary to the assumption that physical science approaches provide reductive explanations in biology, we exemplify how inputs from physics often reveal the importance of macro-scale models and explanations. We illustrate this through an examination of the role of biomechanics modeling in developmental biology. In such contexts, the relation between models at different scales and from different disciplines is neither reductive nor completely autonomous, but interdependent. (shrink)

Systems biologists often distance themselves from reductionist approaches and formulate their aim as understanding living systems “as a whole.” Yet, it is often unclear what kind of reductionism they have in mind, and in what sense their methodologies would offer a superior approach. To address these questions, we distinguish between two types of reductionism which we call “modular reductionism” and “bottom-up reductionism.” Much knowledge in molecular biology has been gained by decomposing living systems into functional modules or (...) through detailed studies of molecular processes. We ask whether systems biology provides novel ways to recompose these findings in the context of the system as a whole via computational simulations. As an example of computational integration of modules, we analyze the first whole-cell model of the bacterium M. genitalium. Secondly, we examine the attempt to recompose processes across different spatial scales via multi-scale cardiac models. Although these models rely on a number of idealizations and simplifying assumptions as well, we argue that they provide insight into the limitations of reductionist approaches. Whole-cell models can be used to discover properties arising at the interfaces of dynamically coupled processes within a biological system, thereby making more apparent what is lost through decomposition. Similarly, multi-scale modeling highlights the relevance of macroscale parameters and models and challenges the view that living systems can be understood “bottom-up.” Specifically, we point out that system-level properties constrain lower-scale processes. Thus, large-scale modeling reveals how living systems at the same time are more and less than the sum of the parts. (shrink)

This contribution discusses competencies needed for regulating systems with properties of multi-causality and non-linear dynamics (therapeutic, economical, organizational, socio-political, technical, ecological, etc.). Various research communities have contributed insights, but none has come forward with an inclusive framework. To advance the debate, I propose to draw from dynamic systems theory (DST) and “4E” (embodied, embedded, enactive, and extended), cognition approaches, which offer a set of perspectives to understand what expert regulators in real-life settings do. They define the regulator's (...) agency as skillfully imposing constraints on a target system and hereby creating context-sensitive openings for self-organizing dynamics, rather than “controlling” the system. Adept regulators apply multi-pronged and multi-timescale constraints to achieve nuanced effects. Among other things, their skill set includes scarcely noted enactive processual competencies for “emergence management”, which the intellectualistic and insufficiently ecologically situated accounts of the complex problem solving literature omit. To capture the nature of system regulation, I advocate treating regulation dynamics and target system dynamics “symmetrically” by grounding regulator competencies in concepts from complexity theory. (shrink)

Research on linguistic interaction suggests that two or more individuals can sometimes form adaptive and cohesive systems. We describe an “alignment system” as a loosely interconnected set of cognitive processes that facilitate social interactions. As a dynamic, multi-component system, it is responsive to higher-level cognitive states such as shared beliefs and intentions (those involving collective intentionality) but can also give rise to such shared cognitive states via bottom-up processes. As an example of putative group cognition we turn to (...) transactive memory and suggest how further research on alignment in these cases might reveal how such systems can be genuinely described as cognitive. Finally, we address a prominent critique of collective cognitive systems, arguing that there is much empirical and explanatory benefit to be gained from considering the possibility of group cognitive systems, especially in the context of small-group human interaction. (shrink)

We are living in a time of meta-organics and post-biology, where we perceive everything in our world as customizable and changeable. Modelling biology within a technological context allows us to investigate GEO-volutionary alternatives/alterations to our original natural systems, where augmentation and transmutation become standards in search of overall betterment (Genetically Engineered Organics). Our expectations for technology exceeds ubiquitous access and functional perfection and enters the world of technoetics, where our present hyper-functional, immersively multi-apped, borderline-prosthetic, global village devices (...) fail to satiate our desires to be synaptically surpassed. Most real-time interactive behavioural systems in art utilize two and three dimensions. Artificial neural networks and prediction (Latin: from pr- before plus dicere to say) systems give rise to experimentation within the third-plus-one (3+1) dimension of the spacetime continuum. Spacetime in accordance with string theory requires the where and when to describe something in existence, rather than mere points in space. It explains the workings of the universe from both super-galactic and subatomic levels. Physical cosmology studies the motions of the celestial bodies in relation to the first cause (ie. primum movens) or the source of all-being. In book 12 of Metaphysics, Aristotle spoke of something which moves without (itself) being moved (by anything), and referred to being as motion. In quantum mechanics, a particle is described by a wave. Physiognomy is an evolving area of psychological research that describes a direct correlation between human gesture (or movement) and thought. Early twentieth-century Persian philosopher Abdul-Baha mentioned that the reality of man is his thought, not his material body. Prediction systems apply models of the mind, or artificial neural networks and machine learning strategies, to use the recorded past with the present to anticipate the future. This article investigates existing human and artificial psychic systems in hopes of identifying tools necessary in building a gesture prediction system. The relationship of intent to gesture and whether intent can be perceived without the evidence of gesture are two factors that must be tested. (shrink)

The United Nation’s (UN) 3rd Annual Multi-stakeholder Forum on ‘Science, Technology and Innovation for the Sustainable Development Goals (STI Forum) - Transformation Towards Sustainable and Resilient Societies’ was held at the UN Headquarters in New York on 5th and 6th of June, 2018. This STI Forum set out to discuss a suit of the sustainable development goals, namely sustainable management of water and sanitation for all (SDG 6), sustainable consumption and production patterns (SDG 12), and sustainable terrestrial ecosystems (SDG (...) 15). It also discussed how to ensure access to affordable, reliable, sustainable and modern energy for all (SDG 7) and how to make cities and human settlements inclusive, safe, resilient and sustainable (SDG 11). I participated in the panel debate on ‘Science, Technology and Innovation for Sustainable Terrestrial Ecosystems (SDG 15)’ – emphasizing the importance of food systems in the context of SDG 15. My statement is summarized below. The panel debate aimed at helping to identify good practices and policy recommendations, as well as challenges and needs, especially as they relate to international cooperation, innovation and capacity-building, with a view to facilitate the development, scaling up adoption and dissemination of relevant technologies for SDG 15. A food system can be described as a system that embraces all the elements (environment, people, inputs, processes, institutions, infrastructure, markets and trade) and activities that relate to the production, processing, distribution and marketing, preparation and consumption of food and the outputs of these activities, including socio-economic and environmental outcomes. A sustainable food system delivers food and nutrition security for all in such a way that the economic, social and environmental bases to generate food security and nutrition for future generations are not compromised. (shrink)

Psychological approaches to fostering sustainability are heavily focused on individual behaviors and often insufficiently address the physical and social contexts individuals are embedded in. This limits the ability to create meaningful, long-lasting change, as many of day-to-day behaviors are social practices embedded in broader cultural norms and systems. This is particularly true in the work context, where organizational cultures heavily condition both the actions of individual employees and the collective actions of organizations. Thus, we argue cultures, not behaviors, (...) must become the focus of sustainability change efforts. In this paper, we present a theory of change aimed at fostering strong organizational cultures of sustainability (COS) within a high-performance multi-tenant office building. Our theory takes a systems perspective that incorporates the social and physical aspects of the work environment, and views culture change as a co-creative exercise involving engagement of multiple stakeholders. The paper concludes with implications for practice and research. (shrink)

As recently stakeholders complain about the use of conflict minerals in consumer products that are often invisible to them in final products, firms across industries implement conflict mineral management practices. Conflict minerals are those, whose systemic exploitation and trade contribute to human right violations in the country of extraction and surrounding areas. Particularly, supply chain managers in the Western world are challenged taking reasonable steps to identify and prevent risks associated with these resources due to the globally dispersed nature of (...) supply chains and the opacity of the origin of commodities. Supply chain due diligence represents a holistic concept to proactively manage supply chains reducing the likelihood of the use of conflict minerals effectively. Based on an exploratory study with 27 semi-structured interviews within five European industries, we provide insights into patterns of implementation, key motivational factors, barriers and enablers, and impacts of SCDD in mineral supply chains. Our results contribute to both theory and practice as we provide first insights to SCDD practices and make recommendations for an industry-wide implementation of SCDD. Altogether, this study provides the basis for future theory testing research in the context of SCDD and conflict mineral management. (shrink)

This paper reviews and synthesizes emerging multi-disciplinary evidence toward understanding the development of social and political organization in the Last Glacial. Evidence for the prevalence and scope of political egalitarianism is reviewed and the biological, social, and environmental influences on this mode of human organization are further explored. Viewing social and political organization in the Last Glacial in a much wider, multi-disciplinary context provides the footing for coherent theory building and hypothesis testing by which to further explore (...) human political systems. We aim to overcome the claim that our ancestors’ form of social organization is untestable, as well as counter a degree of exaggeration regarding possibilities for sedentism, population densities, and hierarchical structures prior to the Holocene with crucial advances from disparate disciplines. (shrink)

In the present context of intertwined and intensifying economic, environmental and climate challenges and crisis, we need to enlarge our thinking about food systems change. One way to do so is by considering intersections between our longstanding interdisciplinary interest in food and agriculture and new scholarship and practice centered on transitions to sustainability. The general idea of transition references change in a wide range of fields and contexts, and has gained prominence most recently as a way to discuss (...) and address sustainability challenges. To explore connections to food systems change, I highlight two broad approaches in the sustainability transitions research field. First is a multi-level perspective that examines sustainability innovation pathways and second is a social practices approach that illuminates the possibilities for shifts in normal everyday routines and practices. Taken together, these approaches offer different and useful ways to think about the dynamics, durability and significance of innovations in food and agriculture, and the part they play in transitions to sustainability. Numerous opportunities exist to forge more productive links between work on food systems change and the broad and growing sustainability transitions field. First, our research and practice insights about the importance of politics, governance, values and ethics in food and agriculture could help to strengthen the sustainability transitions field, which initially underplayed such questions. Second, the sustainability transitions field’s implicit systems sensibility and its futures orientation could help to widen the scope of inquiry and the contribution to policy and planning of research and practice on food systems change. (shrink)

Nearly all listeners consider the subjective aspects of music, such as its emotional tone, to have primary importance. But contemporary philosophers often downplay, ignore, or even deny such aspects of experience. Moreover, traditional philosophies of music try to decontextualize it. Using music as an example, this paper explores the structure of qualitative experience, demonstrating that it is multi-layer emergent, non-compositional, enacted, and situation dependent, among other non-Cartesian properties. Our explanations draw on recent work in cognitive science, including blending, image (...) schemas, and sensory memory, as well as on phenomenology. A hierarchical structure transformation based complexity theory is applied to obtain a non-linear dynamical systems explanation of qualia and emotion that respects phenomenological insights about time, including retention and protention. The complexity measure provides both a metric structure and a potential function, on spaces of pieces that are constructed using given elements and transformations, with weights that reflect their cognitive difficulty. However, the approach is not reductionist; using improvisation and the evolution of musical notation as data, we argue that situatedness, especially enactment and social context, are key aspects of musical consciousness. (shrink)

This theoretical paper takes an agency-theoretic approach to questions of corporate social responsibility (CSR). A comparison of various extant frameworks focusses on how CSR agency emerges in complex multi-agent and multi-sector stakeholder networks. The discussion considers the respective capabilities and relevance of these frameworks – culminating in an integrative CSR practice model. A short literature review of the evolution of CSR since the 1950’s provides the backdrop for understanding multi-agent cross-sectoral stakeholder coalitions as a strategic determinant of (...) today’s organizational behavior. The paper turns to Werhane’s coupling of moral imagination and systems thinking and forging stakeholder coalitions in problem contexts that were traditionally deemed intractable by for-profit organizations. However, it identifies the problem that the systems approach treats macro-agents (organizations, stakeholders) as given (“black-boxed”) and shies away from more radically re-imagining the possibilities of reassembling agency from the bottom up. Actor Network Theory (ANT) provides such a method, which strictly commits to treating organizational behavior as a product of technological, human and environmental micro-processes. ANT, however, is lacking a genuine moral deliberative stance in designing complex CSR coalitions. In an attempt to capitalize on the respective strengths of these frameworks (Systems thinking and ANT) the paper tends to a recent iterative series of “situational transactive” models that are rooted in the US pragmatist tradition and seek to capture intelligent planning processes in complex problematic contexts. The contribution proposes a new CSR practice model, which assigns specific roles to the theoretical contributions of ANT, system thinking and pragmatism in complex deliberation processes. This model can be industry-tested in a future study. (shrink)