Search results for 'Agent' (try it on Scholar)

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  1. Ned Markosian (2012). Agent Causation as the Solution to All the Compatibilist's Problems. Philosophical Studies 157 (3):383 - 398.score: 24.0
    In a recent paper I argued that agent causation theorists should be compatibilists. In this paper, I argue that compatibilists should be agent causation theorists. I consider six of the main problems facing compatibilism: (i) the powerful intuition that one can't be responsible for actions that were somehow determined before one was born; (ii) Peter van Inwagen's modal argument, involving the inference rule (β); (iii) the objection to compatibilism that is based on claiming that the ability to do (...)
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  2. Ishtiyaque Haji (2004). Active Control, Agent-Causation and Free Action. Philosophical Explorations 7 (2):131-148.score: 24.0
    Key elements of Randolph Clarke's libertarian account of freedom that requires both agent-causation and non-deterministic event-causation in the production of free action is assessed with an eye toward determining whether agent-causal accounts can accommodate the truth of judgments of moral obligation.
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  3. Ned Markosian (1999). A Compatibilist Version of the Theory of Agent Causation. Pacific Philosophical Quarterly 80 (3):257-277.score: 24.0
    The problem of freedom and determinism has vexed philosophers for several millennia, and continues to be a topic of lively debate today. One of the proposed solutions to the problem that has received a great deal of attention is the Theory of Agent Causation. While the theory has enjoyed its share of advocates, and perhaps more than its share of critics, the theory’s advocates and critics have always agreed on one thing: the Theory of Agent Causation is an (...)
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  4. Tom Dougherty (2013). Agent-Neutral Deontology. Philosophical Studies 163 (2):527-537.score: 24.0
    According to the “Textbook View,” there is an extensional dispute between consequentialists and deontologists, in virtue of the fact that only the latter defend “agent-relative” principles—principles that require an agent to have a special concern with making sure that she does not perform certain types of action. I argue that, contra the Textbook View, there are agent-neutral versions of deontology. I also argue that there need be no extensional disagreement between the deontologist and consequentialist, as characterized by (...)
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  5. Daniel Doviak (2011). A New Form of Agent-Based Virtue Ethics. Ethical Theory and Moral Practice 14 (3):259-272.score: 24.0
    In Morals From Motives, Michael Slote defends an agent-based theory of right action according to which right acts are those that express virtuous motives like benevolence or care. Critics have claimed that Slote’s view— and agent-based views more generally— cannot account for several basic tenets of commonsense morality. In particular, the critics maintain that agent-based theories: (i) violate the deontic axiom that ought implies can , (ii) cannot allow for a person’s doing the right thing for the (...)
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  6. Meghan Griffith (2007). Freedom and Trying: Understanding Agent-Causal Exertions. [REVIEW] Acta Analytica 22 (1):16-28.score: 24.0
    In this paper, I argue that trying is the locus of freedom and moral responsibility. Thus, any plausible view of free and responsible action must accommodate and account for free tryings. I then consider a version of agent causation whereby the agent directly causes her tryings. On this view, the agent is afforded direct control over her efforts and there is no need to posit—as other agent-causal theorists do—an uncaused event. I discuss the potential advantages of (...)
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  7. Orlin Vakarelov (2011). The Cognitive Agent: Overcoming Informational Limits. Adaptive Behavior 19 (2):83-100.score: 24.0
    This article provides an answer to the question: What is the function of cognition? By answering this question it becomes possible to investigate what are the simplest cognitive systems. It addresses the question by treating cognition as a solution to a design problem. It defines a nested sequence of design problems: (1) How can a system persist? (2) How can a system affect its environment to improve its persistence? (3) How can a system utilize better information from the environment to (...)
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  8. Tristram McPherson (2012). Mark Schroeder's Hypotheticalism: Agent-Neutrality, Moral Epistemology, and Methodology. [REVIEW] Philosophical Studies 157 (3):445-453.score: 24.0
    Symposium contribution on Mark Schroeder's Slaves of the Passions. Argues that Schroeder's account of agent-neutral reasons cannot be made to work, that the limited scope of his distinctive proposal in the epistemology of reasons undermines its plausibility, and that Schroeder faces an uncomfortable tension between the initial motivation for his view and the details of the view he develops.
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  9. Manuel Dries (2013). The Feeling of Doing – Nietzsche on Agent Causation. Nietzscheforschung 20 (1).score: 24.0
    This article examines Nietzsche’s analysis of the phenomenology of agent causation. Sense of agent causation, our sense of self-efficacy, is tenacious because it originates, according to Nietzsche’s hypothesis, in the embodied and situated experience of effort in overcoming resistances. It arises at the level of the organism and is sustained by higher-order cognitive functions. Based on this hypothesis, Nietzsche regards the sense of self as emerging from a homeostatic system of drives and affects that unify such as to (...)
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  10. Desheng Zong (2000). Agent Neutrality is the Exclusive Feature of Consequentialism. Southern Journal of Philosophy 38 (4):676-693.score: 24.0
    An idea that has attracted a lot of attention lately is the thought that consequentialism is a theory characterized basically by its agent neutrality.1 The idea, however, has also met with skepticism. In particular, it has been argued that agent neutrality cannot be what separates consequentialism from other types of theories of reasons for action, since there can be agent-neutral non-consequentialist theories as well as agent-relative consequentialist theories. I will argue in this paper that this last (...)
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  11. Derk Pereboom (2012). The Disappearing Agent Objection to Event-Causal Libertarianism. Philosophical Studies (1):1-11.score: 24.0
    The question I raise is whether Mark Balaguer’s event-causal libertarianism can withstand the disappearing agent objection. The concern is that with the causal role of the events antecedent to a decision already given, nothing settles whether the decision occurs, and so the agent does not settle whether the decision occurs. Thus it would seem that in this view the agent will not have the control in making decisions required for moral responsibility. I examine whether Balaguer’s position has (...)
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  12. Douglas W. Portmore (2001). McNaughton and Rawling on the Agent-Relative/Agent-Neutral Distinction. Utilitas 13 (03):350-356.score: 24.0
    In this paper, I criticize David McNaughton and Piers Rawling's formalization of the agent-relative/agent-neutral distinction. I argue that their formalization is unable to accommodate an important ethical distinction between two types of conditional obligations. I then suggest a way of revising their formalization so as to fix the problem.
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  13. Daniel von Wachter (2003). Agent Causation Before and After the Ontological Turn. In Edmund Runggaldier, Christian Kanzian & Josef Quitterer (eds.), Persons: An Interdisciplinary Approach. öbvhpt.score: 24.0
    Chisholm's theory of agent causation is criticised. An alternative theory of agent causation is proposed.
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  14. Vaughn E. Huckfeldt (2007). Categorical and Agent-Neutral Reasons in Kantian Justifications of Morality. Philosophia 35 (1):23-41.score: 24.0
    The dispute between Kantians and Humeans over whether practical reason can justify moral reasons for all agents is often characterized as a debate over whether reasons are hypothetical or categorical. Instead, this debate must be understood in terms of the distinction between agent-neutral and agent-relative reasons. This paper considers Alan Gewirth’s Reason and Morality as a case study of a Kantian justification of morality focused on deriving categorical reasons from hypothetical reasons. The case study demonstrates first, the possibility (...)
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  15. Kasper Lippert-Rasmussen (2009). Kamm on Inviolability and Agent-Relative Restrictions. Res Publica 15 (2):165-178.score: 24.0
    Agent-relative restrictions prohibit minimizing violations: that is, they require us not to minimize the total number of their violations by violating them ourselves. Frances Kamm has explained this prohibition in terms of the moral worth of persons, which, in turn, she explains in terms of persons’ high moral status as inviolable beings. I press the following criticism of this account: even if minimizing violations are permissible, we need not have a lower moral status provided other determinants thereof boost it. (...)
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  16. Chris Dobbyn & Susan A. J. Stuart (2003). The Self as an Embedded Agent. Minds and Machines 13 (2):187-201.score: 24.0
    In this paper we consider the concept of a self-aware agent. In cognitive science agents are seen as embodied and interactively situated in worlds. We analyse the meanings attached to these terms in cognitive science and robotics, proposing a set of conditions for situatedness and embodiment, and examine the claim that internal representational schemas are largely unnecessary for intelligent behaviour in animats. We maintain that current situated and embodied animats cannot be ascribed even minimal self-awareness, and offer a six (...)
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  17. Franck Varenne (2010). Framework for M&S with Agents in Regard to Agent Simulations in Social Sciences: Emulation and Simulation. In Alexandre Muzy, David R. C. Hill & Bernard P. Zeigler (eds.), Activity-Based Modeling and Simulation. Presses Universitaires Blaise-Pascal.score: 24.0
    The aim of this paper is to discuss the “Framework for M&S with Agents” (FMSA) proposed by Zeigler et al. [2000, 2009] in regard to the diverse epistemological aims of agent simulations in social sciences. We first show that there surely are great similitudes, hence that the aim to emulate a universal “automated modeler agent” opens new ways of interactions between these two domains of M&S with agents. E.g., it can be shown that the multi-level conception at the (...)
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  18. Toni Rønnow-Rasmussen (2009). Normative Reasons and the Agent-Neutral/Relative Dichotomy. Philosophia 37 (2):227-243.score: 24.0
    The distinction between the agent-relative and the agent-neutral plays a prominent role in recent attempts to taxonomize normative theories. Its importance extends to most areas in practical philosophy, though. Despite its popularity, the distinction remains difficult to get a good grip on. In part this has to do with the fact that there is no consensus concerning the sort of objects to which we should apply the distinction. Thomas Nagel distinguishes between agent-neutral and agent-relative values, reasons, (...)
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  19. Theo Van Willigenburg (2005). Reason and Love: A Non-Reductive Analysis of the Normativity of Agent-Relative Reasons. [REVIEW] Ethical Theory and Moral Practice 8 (1-2):45-62.score: 24.0
    Why do agent-relative reasons have authority over us, reflective creatures? Reductive accounts base the normativity of agent-relative reasons on agent-neutral considerations like having parents caring especially for their own children serves best the interests of all children. Such accounts, however, beg the question about the source of normativity of agent-relative ways of reason-giving. In this paper, I argue for a non-reductive account of the reflective necessity of agent-relative concerns. Such an account will reveal an important (...)
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  20. Denis Phan & Franck Varenne (2010). Agent-Based Models and Simulations in Economics and Social Sciences: From Conceptual Exploration to Distinct Ways of Experimenting. Journal of Artificial Societies and Social Simulation 13 (1).score: 24.0
    Now that complex Agent-Based Models and computer simulations spread over economics and social sciences - as in most sciences of complex systems -, epistemological puzzles (re)emerge. We introduce new epistemological concepts so as to show to what extent authors are right when they focus on some empirical, instrumental or conceptual significance of their model or simulation. By distinguishing between models and simulations, between types of models, between types of computer simulations and between types of empiricity obtained through a simulation, (...)
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  21. Fenrong Liu & Yanjing Wang (2013). Reasoning About Agent Types and the Hardest Logic Puzzle Ever. Minds and Machines 23 (1):123-161.score: 24.0
    In this paper, we first propose a simple formal language to specify types of agents in terms of necessary conditions for their announcements. Based on this language, types of agents are treated as ‘first-class citizens’ and studied extensively in various dynamic epistemic frameworks which are suitable for reasoning about knowledge and agent types via announcements and questions. To demonstrate our approach, we discuss various versions of Smullyan’s Knights and Knaves puzzles, including the Hardest Logic Puzzle Ever (HLPE) proposed by (...)
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  22. Neil Levy (forthcoming). Luck and Agent-Causation: A Response to Franklin. Criminal Law and Philosophy:1-6.score: 24.0
    Christopher Franklin argues that the hard luck view, which I have recently defended, is misnamed: the arguments turn on absence of control and not on luck. He also argues that my objections to agent-causal libertarianism depend on a demand, for a contrastive explanation that guarantees the choice the agent makes, which would be question-begging in the dialectical context. In response to the first objection, I argue that though Franklin may be right that it is absence of control that (...)
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  23. Nigel Gilbert & Pietro Terna (2000). How to Build and Use Agent-Based Models in Social Science. Mind and Society 1 (1):57-72.score: 24.0
    The use of computer simulation for building theoretical models in social science is introduced. It is proposed that agent-based models have potential as a “third way” of carrying out social science, in addition to argumentation and formalisation. With computer simulations, in contrast to other methods, it is possible to formalise complex theories about processes, carry out experiments and observe the occurrence of emergence. Some suggestions are offered about techniques for building agent-based models and for debugging them. A scheme (...)
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  24. Andrey Kiselev, Benjamin Alexander Hacker, Thomas Wankerl, Niyaz Abdikeev & Toyoaki Nishida (2011). Toward Incorporating Emotions with Rationality Into a Communicative Virtual Agent. AI and Society 26 (3):275-289.score: 24.0
    This paper addresses the problem of human–computer interactions when the computer can interpret and express a kind of human-like behavior, offering natural communication. A conceptual framework for incorporating emotions with rationality is proposed. A model of affective social interactions is described. The model utilizes the SAIBA framework, which distinguishes among several stages of processing of information. The SAIBA framework is extended, and a model is realized in human behavior detection, human behavior interpretation, intention planning, attention tracking behavior planning, and behavior (...)
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  25. Guido Boella & Leendert van der Torre (2007). The Ontological Properties of Social Roles in Multi-Agent Systems: Definitional Dependence, Powers and Roles Playing Roles. [REVIEW] Artificial Intelligence and Law 15 (3):201-221.score: 24.0
    In this paper we address the problem of defining social roles in multi-agent systems. Social roles provide the basic structure of social institutions and organizations. We start from the properties attributed to roles both in the multi-agent systems and the Object Oriented community, and we use them in an ontological analysis of the notion of social role. We identify three main properties of social roles. First, they are definitionally dependent on the institution they belong to, i.e. the definition (...)
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  26. Joeri Engelfriet, Catholijn M. Jonker & Jan Treur (2002). Compositional Verification of Multi-Agent Systems in Temporal Multi-Epistemic Logic. Journal of Logic, Language and Information 11 (2):195-225.score: 24.0
    Compositional verification aims at managing the complexity of theverification process by exploiting compositionality of the systemarchitecture. In this paper we explore the use of a temporal epistemiclogic to formalize the process of verification of compositionalmulti-agent systems. The specification of a system, its properties andtheir proofs are of a compositional nature, and are formalized within acompositional temporal logic: Temporal Multi-Epistemic Logic. It isshown that compositional proofs are valid under certain conditions.Moreover, the possibility of incorporating default persistence ofinformation in a system, (...)
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  27. Eric LaRock (2013). Aristotle and Agent-Directed Neuroplasticity. International Philosophical Quarterly 53 (4):385-408.score: 24.0
    I propose an Aristotelian approach to agent causation that is consistent with the hypothesis of strong emergence. This approach motivates a wider ontology than materialism by maintaining (1) that the agent is generated by the brain without being reducible to it on grounds of the unity of experience and (2) that the agent possesses (formal) causal power to affect (i.e., mold, sculpt, or organize) the brain on grounds of agent-directed neuroplasticity. After providing recent empirical evidence for (...)
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  28. Francesca Poggiolesi (2013). From Single Agent to Multi-Agent Via Hypersequents. Logica Universalis 7 (2):147-166.score: 24.0
    In this paper we present a sequent calculus for the multi-agent system S5 m . First, we introduce a particularly simple alternative Kripke semantics for the system S5 m . Then, we construct a hypersequent calculus for S5 m that reflects at the syntactic level this alternative interpretation. We prove that this hypersequent calculus is theoremwise equivalent to the Hilbert-style system S5 m , that it is contraction-free and cut-free, and finally that it is decidable. All results are proved (...)
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  29. Jan M. Zytkow (1995). Creating a Discoverer: Autonomous Knowledge Seeking Agent. [REVIEW] Foundations of Science 1 (2):253-283.score: 24.0
    Construction of a robot discoverer can be treated as the ultimate success of automated discovery. In order to build such an agent we must understand algorithmic details of the discovery processes and the representation of scientific knowledge needed to support the automation. To understand the discovery process we must build automated systems. This paper investigates the anatomy of a robot-discoverer, examining various components developed and refined to a various degree over two decades. We also clarify the notion of autonomy (...)
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  30. Sharmila Savarimuthu, Maryam Purvis, Martin Purvis & Bastin Tony Roy Savarimuthu (2013). Gossip-Based Self-Organising Agent Societies and the Impact of False Gossip. Minds and Machines 23 (4):419-441.score: 24.0
    The objective of this work is to demonstrate how cooperative sharers and uncooperative free riders can be placed in different groups of an electronic society in a decentralised manner. We have simulated an agent-based open and decentralised P2P system which self-organises itself into different groups to avoid cooperative sharers being exploited by uncooperative free riders. This approach encourages sharers to move to better groups and restricts free riders into those groups of sharers without needing centralised control. Our approach is (...)
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  31. Nicolas J. Bullot (forthcoming). Agent Tracking: A Psycho-Historical Theory of the Identification of Living and Social Agents. Biology and Philosophy:1-24.score: 24.0
    To explain agent-identification behaviours, universalist theories in the biological and cognitive sciences have posited mental mechanisms thought to be universal to all humans, such as agent detection and face recognition mechanisms. These universalist theories have paid little attention to how particular sociocultural or historical contexts interact with the psychobiological processes of agent-identification. In contrast to universalist theories, contextualist theories appeal to particular historical and sociocultural contexts for explaining agent-identification. Contextualist theories tend to adopt idiographic methods aimed (...)
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  32. Elizabeth Foreman (forthcoming). An Agent-Centered Account of Rightness: The Importance of a Good Attitude. Ethical Theory and Moral Practice:1-14.score: 24.0
    This paper provides a sketch of an agent-centered way of understanding and answering the question, “What’s wrong with that?” On this view, what lies at the bottom of judgments of wrongness is a bad attitude; when someone does something wrong, she does something that expresses a bad, or inappropriate, attitude (where inappropriateness is understood, tentatively, as a failure to recognize the separateness of others). In order to motivate this account, a general Kantian agent-centered ethics is discussed, as well (...)
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  33. Christen Krogh & Henning Herrestad (1999). Hohfeld in Cyberspace and Other Applications of Normative Reasoning in Agent Technology. Artificial Intelligence and Law 7 (1):81-96.score: 24.0
    Two areas of importance for agents and multiagent systems are investigated: design of agent programming languages, and design of agent communication languages. The paper contributes in the above mentioned areas by demonstrating improved or novel applications for deontic logic and normative reasoning. Examples are taken from computer-supported cooperative work, and electronic commerce.
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  34. Bastin Tony Roy Savarimuthu, Stephen Cranefield, Maryam A. Purvis & Martin K. Purvis (2013). Identifying Prohibition Norms in Agent Societies. Artificial Intelligence and Law 21 (1):1 - 46.score: 24.0
    In normative multi-agent systems, the question of “how an agent identifies norms in an open agent society” has not received much attention. This paper aims at addressing this question. To this end, this paper proposes an architecture for norm identification for an agent. The architecture is based on observation of interactions between agents. This architecture enables an autonomous agent to identify prohibition norms in a society using the prohibition norm identification (PNI) algorithm. The PNI algorithm (...)
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  35. Paul L. Borrill & Leigh Tesfatsion (2011). Agent-Based Modeling: The Right Mathematics for the Social Sciences? In J. B. Davis & D. W. Hands (eds.), Elgar Companion to Recent Economic Methodology. Edward Elgar Publishers. 228.score: 24.0
    This study provides a basic introduction to agent-based modeling (ABM) as a powerful blend of classical and constructive mathematics, with a primary focus on its applicability for social science research. The typical goals of ABM social science researchers are discussed along with the culture-dish nature of their computer experiments. The applicability of ABM for science more generally is also considered, with special attention to physics. Finally, two distinct types of ABM applications are summarized in order to illustrate concretely the (...)
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  36. Jeff Buechner & Herman T. Tavani (2011). Trust and Multi-Agent Systems: Applying the Diffuse, Default Model of Trust to Experiments Involving Artificial Agents. [REVIEW] Ethics and Information Technology 13 (1):39-51.score: 24.0
    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 (...)
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  37. Gideon Elford (forthcoming). Pains of Perseverance: Agent-Centred Prerogatives, Burdens and the Limits of Human Motivation. Ethical Theory and Moral Practice:1-14.score: 24.0
    An important question in recent work in political philosophy concerns whether facts about individuals’ motivational deficiencies are facts to which principles of justice are sensitive. In this context, David Estlund has recently argued that the difficulties individuals’ face in motivating themselves to act do not affect the content of normative principles that apply to them. Against Estlund, the paper argues that in principle the motivational difficulties individuals face can affect the content of normative principles that apply to them. This argument (...)
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  38. Francien Dechesne, Gennaro Di Tosto, Virginia Dignum & Frank Dignum (2013). No Smoking Here: Values, Norms and Culture in Multi-Agent Systems. [REVIEW] Artificial Intelligence and Law 21 (1):79 - 107.score: 24.0
    We use the example of the introduction of the anti-smoking legislation to model the relationship between the cultural make-up, in terms of values, of societies and the acceptance of and compliance with norms. We present two agent-based simulations and discuss the challenge of modeling sanctions and their relation to values and culture.
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  39. Lucas Drumond & Rosario Girardi (2008). A Multi-Agent Legal Recommender System. Artificial Intelligence and Law 16 (2):175-207.score: 24.0
    Infonorma is a multi-agent system that provides its users with recommendations of legal normative instruments they might be interested in. The Filter agent of Infonorma classifies normative instruments represented as Semantic Web documents into legal branches and performs content-based similarity analysis. This agent, as well as the entire Infonorma system, was modeled under the guidelines of MAAEM, a software development methodology for multi-agent application engineering. This article describes the Infonorma requirements specification, the architectural design solution for (...)
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  40. Maria Isabel Aldinhas Ferreira & Miguel Gama Caldas (2013). The Concept of Umwelt Overlap and its Application to Cooperative Action in Multi-Agent Systems. Biosemiotics 6 (3):497-514.score: 24.0
    The present paper stems from the biosemiotic modelling of individual artificial cognition proposed by Ferreira and Caldas (2012) but goes further by introducing the concept of Umwelt Overlap. The introduction of this concept is of fundamental importance making the present model closer to natural cognition. In fact cognition can only be viewed as a purely individual phenomenon for analytical purposes. In nature it always involves the crisscrossing of the spheres of action of those sharing the same environmental bubble. Plus, the (...)
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  41. Jeremy Pitt (2004). The Open Agent Society as a Platform for the User-Friendly Information Society. AI and Society 19 (2):123-158.score: 24.0
    A thematic priority of the European Union’s Framework V research and development programme was the creation of a user-friendly information society which met the needs of citizens and enterprises. In practice, though, for example in the case of on-line digital music, the needs of citizens and enterprises may be in conflict. This paper proposes to leverage the appearance of ‘intelligence’ in the platform layer of a layered communications architecture to avoid such conflicts in similar applications in the future. The key (...)
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  42. Takashi Ikegami Tom Froese, Charles Lenay (2012). Imitation by Social Interaction? Analysis of a Minimal Agent-Based Model of the Correspondence Problem. Frontiers in Human Neuroscience 6.score: 24.0
    One of the major challenges faced by explanations of imitation is the ‘correspondence problem’: How is an agent able to match its bodily expression to the observed bodily expression of another agent, especially when there is no possibility of external self-observation? Current theories only consider the possibility of an innate or acquired matching mechanism belonging to an isolated individual. In this paper we evaluate an alternative that situates the explanation of imitation in the inter-individual dynamics of the interaction (...)
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  43. Karsten Weber (2013). What is It Like to Encounter an Autonomous Artificial Agent? AI and Society 28 (4):483-489.score: 24.0
    Following up on Thomas Nagel’s paper “What is it like to be a bat?” and Alan Turing’s essay “Computing machinery and intelligence,” it shall be claimed that a successful interaction of human beings and autonomous artificial agents depends more on which characteristics human beings ascribe to the agent than on whether the agent really has those characteristics. It will be argued that Masahiro Mori’s concept of the “uncanny valley” as well as evidence from several empirical studies supports that (...)
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  44. John Cantwell (2007). A Model for Updates in a Multi-Agent Setting. Journal of Applied Non-Classical Logics 17 (2):183-196.score: 24.0
    A formal model for updates—the result of learning that the world has changed—in a multi-agent setting is presented and completely axiomatized. The model allows that several agents simultaneously are informed of an event in the world in such a way that it becomes common knowledge among the agents that the event has occurred. The model shares many features with the model for common announcements—an announcement about the state of the world in which it becomes common knowledge among the audience (...)
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  45. Massimo Durante (2010). What Is the Model of Trust for Multi-Agent Systems? Whether or Not E-Trust Applies to Autonomous Agents. Knowledge, Technology and Policy 23 (3-4):347-366.score: 24.0
    A socio-cognitive approach to trust can help us envisage a notion of networked trust for multi-agent systems (MAS) based on different interacting agents. In this framework, the issue is to evaluate whether or not a socio-cognitive analysis of trust can apply to the interactions between human and autonomous agents. Two main arguments support two alternative hypothesis; one suggests that only reliance applies to artificial agents, because predictability of agents’ digital interaction is viewed as an absolute value and human relation (...)
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  46. Elyès Jouini & Clotilde Napp (2012). Behavioral Biases and the Representative Agent. Theory and Decision 73 (1):97-123.score: 24.0
    In this article, we show that behavioral features can be obtained at a group level even if they do not appear at the individual level. Starting from a standard model of Pareto optimal allocations, with expected utility maximizers but allowing for heterogeneity among individual beliefs, we show in particular that the representative agent has an inverse S-shaped probability distortion function as in Cumulative prospect theory.
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  47. Peter McBurney & Simon Parsons (2007). Retraction and Revocation in Agent Deliberation Dialogs. Argumentation 21 (3):269-289.score: 24.0
    We present a generic denotational semantic framework for protocols for dialogs between rational and autonomous agents over action which allows for retraction and revocation of proposals for action. The semantic framework views participants in a deliberation dialog as jointly and incrementally manipulating the contents of shared spaces of action-intention tokens. The framework extends prior work by decoupling the identity of an agent who first articulates a proposal for action from the identity of any agent then empowered to retract (...)
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  48. Peter McBurney & Simon Parsons (2001). Dialogue Games in Multi-Agent Systems. Informal Logic 22 (3).score: 22.0
    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.
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  49. Timothy O'Connor (2002). Libertarian Views: Dualist and Agent-Causal Theories. In Robert H. Kane (ed.), The Oxford Handbook of Free Will. Oxford University Press.score: 21.0
  50. John D. Bishop (1986). Is Agent-Causality a Conceptal Primitive? Synthese 67 (May):225-47.score: 21.0
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