Search results for 'agent communication' (try it on Scholar)

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  1.  27
    Guido Boella, Rossana Damianoa, Joris Hulstijn & Leendert van der Torre (2006). A Common Ontology of Agent Communication Languages: Modeling Mental Attitudes and Social Commitments. Applied Ontology 3:1-3.
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  2.  9
    Bryan Renne (2012). Multi-Agent Justification Logic: Communication and Evidence Elimination. [REVIEW] Synthese 185 (S1):43-82.
    This paper presents a logic combining Dynamic Epistemic Logic, a framework for reasoning about multi-agent communication, with a new multi-agent version of Justification Logic, a framework for reasoning about evidence and justification. This novel combination incorporates a new kind of multi-agent evidence elimination that cleanly meshes with the multi-agent communications from Dynamic Epistemic Logic, resulting in a system for reasoning about multi-agent communication and evidence elimination for groups of interacting rational agents.
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  3. Guido Boella, Rossana Damiano, Joris Hulstijn & Leendert van der Torre (2007). A Common Ontology of Agent Communication Languages: Modeling Mental Attitudes and Social Commitments Using Roles. Applied Ontology 2 (3):217-265.
     
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  4.  1
    Mikito Kobayashi & Satoshi Tojo (2009). Agent Communication for Dynamic Belief Update. Transactions of the Japanese Society for Artificial Intelligence 24:314-321.
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  5.  5
    Katsuhiko Sano & Satoshi Tojo (2013). Dynamic Epistemic Logic for Channel-Based Agent Communication. In Kamal Lodaya (ed.), Logic and its Applications. Springer 109--120.
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  6.  1
    Raphen Becker, Alan Carlin, Victor Lesser & Shlomo Zilberstein (2009). Analyzing Myopic Approaches for Multi‐Agent Communication. In L. Magnani (ed.), Computational Intelligence. 31-50.
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  7.  3
    Hyun-joo Song, Kristine H. Onishi, Renée Baillargeon & Cynthia Fisher (2008). Can an Agent's False Belief Be Corrected by an Appropriate Communication? Psychological Reasoning in 18-Month-Old Infants. Cognition 109 (3):295-315.
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  8.  1
    Cynthia Fisher Hyun-joo Song, Kristine H. Onishi, Renée Baillargeon (2008). Can an Agent's False Belief Be Corrected by an Appropriate Communication? Psychological Reasoning in 18-Month-Old Infants. Cognition 109 (3):295.
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  9.  12
    Egon van Baars & Rineke Verbrugge (2009). A Communication Algorithm for Teamwork in Multi-Agent Environments. Journal of Applied Non-Classical Logics 19 (4):431-461.
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  10.  19
    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.
    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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  11. Mai Miyabe, Takashi Yoshino & Tomohiro Shigenobu (2008). Effects of Repair Support Agent for Accurate Multilingual Communication. In Tu-Bao Ho & Zhi-Hua Zhou (eds.), Pricai 2008: Trends in Artificial Intelligence. Springer 1022--1027.
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  12. Robert S. Westman (1980). On Communication and Cultural ChangeThe Printing Press as an Agent of Change: Communications and Cultural Transformations in Early-Modern EuropeElizabeth L. Eisenstein. Isis 71 (3):474-477.
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  13.  4
    Dale J. Barr (2004). Establishing Conventional Communication Systems: Is Common Knowledge Necessary? Cognitive Science 28 (6):937-962.
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  14.  1
    Gani Aldashev & Timoteo Carletti (2009). Benefits of Diversity, Communication Costs, and Public Opinion Dynamics. Complexity 15 (2):54-63.
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  15.  20
    Roland Mühlenbernd (2011). Learning with Neighbours. Synthese 183 (S1):87-109.
    I present a game-theoretical multi-agent system to simulate the evolutionary process responsible for the pragmatic phenomenon division of pragmatic labour (DOPL), a linguistic convention emerging from evolutionary forces. Each agent is positioned on a toroid lattice and communicates via signaling games , where the choice of an interlocutor depends on the Manhattan distance between them. In this framework I compare two learning dynamics: reinforcement learning (RL) and belief learning (BL). An agent’s experiences from previous plays influence his (...)
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  16. Orlin Vakarelov (2011). The Cognitive Agent: Overcoming Informational Limits. Adaptive Behavior 19 (2):83-100.
    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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  17.  11
    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.
    A socio-cognitive approach to trust can help us envisage a notion of networked trust for multi-agent systems 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 is (...)
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  18.  59
    Paul Piwek (2011). Dialogue Structure and Logical Expressivism. Synthese 183 (S1):33-58.
    This paper aims to develop the implications of logical expressivism for a theory of dialogue coherence. I proceed in three steps. Firstly, certain structural properties of cooperative dialogue are identified. Secondly, I describe a variant of the multi-agent natural deduction calculus that I introduced in Piwek (J Logic Lang Inf 16(4):403–421, 2007 ) and demonstrate how it accounts for the aforementioned structures. Thirdly, I examine how the aforementioned system can be used to formalise an expressivist account of logical vocabulary (...)
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  19.  9
    Ulf Lotzmann, Michael Möhring & Klaus G. Troitzsch (2013). Simulating the Emergence of Norms in Different Scenarios. Artificial Intelligence and Law 21 (1):109 - 138.
    This paper deals with EMIL-S, a software tool box which was designed during the EMIL project for the simulation of processes during which norms emerged in an agent society. This tool box implements the cognitive architecture of normative agents which was designed during the EMIL project which is also discussed in other papers in this issue. This implementation is described in necessary detail, and two examples of its application to several different scenarios are given, namely a scenario in which (...)
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  20.  4
    Peter G. Modin & Sven Ove Hansson (2011). Moral and Instrumental Norms in Food Risk Communication. Journal of Business Ethics 101 (2):313 - 324.
    The major normative recommendations in the literature on food risk communication can be summarized in the form of seven practical principles for such communication: (1) Be honest and open. (2) Disclose incentives and conflicts of interest. (3) Take all available relevant knowledge into consideration. (4) When possible, quantify risks. (5) Describe and explain uncertainties. (6) Take all the public's concerns into account. (7) Take the rights of individuals and groups seriously. We show that each of these proposed principles (...)
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  21.  17
    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.
    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 (...)
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  22.  4
    Julien Saunier, Flavien Balbo & Suzanne Pinson (2014). A Formal Model of Communication and Context Awareness in Multiagent Systems. Journal of Logic, Language and Information 23 (2):219-247.
    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 (...)
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  23.  26
    van Benthem, Johan, van Eijck, Jan & Kooi, Barteld, Logics of Communication and Change.
    Current dynamic epistemic logics for analyzing effects of informational events often become cumbersome and opaque when common knowledge is added for groups of agents. Still, postconditions involving common knowledge are essential to successful multi-agent communication. We propose new systems that extend the epistemic base language with a new notion of ‘relativized common knowledge’, in such a way that the resulting full dynamic logic of information flow allows for a compositional analysis of all epistemic postconditions via perspicuous ‘reduction axioms’. (...)
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  24.  14
    Barteld Kooi, Jan van Eijck & Johan van Benthem, Logics of Communication and Change.
    Current dynamic epistemic logics for analyzing effects of informational events often become cumbersome and opaque when common knowledge is added for groups of agents. Still, postconditions involving common knowledge are essential to successful multi-agent communication. We propose new systems that extend the epistemic base language with a new notion of ‘relativized common knowledge’, in such a way that the resulting full dynamic logic of information flow allows for a compositional analysis of all epistemic postconditions via perspicuous ‘reduction axioms’. (...)
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  25.  7
    Hal Robinson (2012). Digital Publishing. Logos 23 (4):7-20.
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  26.  17
    Jeff Pelletier, Enumerating the Preconditions of Agent Message Types.
    Agent communication languages (ACLs) invoke speech act theory and define individual message types by reference to particular combinations of beliefs and desires of the speaker (feasibility preconditions). Even when the mental states are restricted to a small set of nested beliefs, it seems that there might be a very large number of different possible preconditions, and therefore a very large number of different message types. With some constraints on the mental attitude of the speaker, we enumerate the possible (...)
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  27. E. Daprati, N. Franck, N. Georgieff, Joëlle Proust, Elisabeth Pacherie, J. Dalery & Marc Jeannerod (1997). Looking for the Agent: An Investigation Into Consciousness of Action and Self-Consciousness in Schizophrenic Patients. Cognition 65 (1):71-86.
    The abilities to attribute an action to its proper agent and to understand its meaning when it is produced by someone else are basic aspects of human social communication. Several psychiatric syndromes, such as schizophrenia, seem to lead to a dysfunction of the awareness of one’s own action as well as of recognition of actions performed by other. Such syndromes offer a framework for studying the determinants of agency, the ability to correctly attribute actions to their veridical source. (...)
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  28.  32
    Johan van Benthem, 'One is a Lonely Number': On the Logic of Communication.
    Logic is not just about single-agent notions like reasoning, or zero-agent notions like truth, but also about communication between two or more people. What we tell and ask each other can be just as 'logical' as what we infer in Olympic solitude. We show how such interactive phenomena can be studied systematically by merging epistemic and dynamic logic.
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  29.  50
    Christian List, Christian Elsholtz & Thomas Seeley (2009). Independence and Interdependence in Collective Decision Making: An Agent-Based Model of Nest-Site Choice by Honey Bee Swarms. Philosophical Transactions of the Royal Society B 364:755-762.
    Condorcet's classic jury theorem shows that when the members of a group have noisy but independent information about what is best for the group as a whole, majority decisions tend to outperform dictatorial ones. When voting is supplemented by communication, however, the resulting interdependencies between decision-makers can strengthen or undermine this effect: they can facilitate information pooling, but also amplify errors. We consider an intriguing non-human case of independent information pooling combined with communication: the case of nest-site choice (...)
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  30.  26
    Jan van Eijck, Multi-Agent Belief Revision with Linked Plausibilities.
    In [11] it is shown how propositional dynamic logic (PDL) can be interpreted as a logic of belief revision that extends the logic of communication and change (LCC) given in [7]. This new version of epistemic/doxastic PDL does not impose any constraints on the basic relations and because of this it does not suffer from the drawback of LCC that these constraints may get lost under updates that are admitted by the system. Here, we will impose one constraint, namely (...)
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  31.  50
    Natasha Alechina, Brian Logan, Hoang Nga Nguyen & Abdur Rakib (2009). Verifying Time, Memory and Communication Bounds in Systems of Reasoning Agents. Synthese 169 (2):385 - 403.
    We present a framework for verifying systems composed of heterogeneous reasoning agents, in which each agent may have differing knowledge and inferential capabilities, and where the resources each agent is prepared to commit to a goal (time, memory and communication bandwidth) are bounded. The framework allows us to investigate, for example, whether a goal can be achieved if a particular agent, perhaps possessing key information or inferential capabilities, is unable (or unwilling) to contribute more than a (...)
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  32.  37
    Maxim Lebedev (2008). The Agent of Virtual Communications. Proceedings of the Xxii World Congress of Philosophy 39:129-135.
    It will be argued that the virtual agent (VA) can be characterized using phenomenological descriptive tools and other conceptual means within related paradigms of the analysis of subjectivity. From such a point of view, the main features of VA are: •VA is constituted by its communicative valencies; •VA is intentionally active in perception, and it is the case also at the intersubjective level; •VA establishes and supports the truth of its statements, which come out as a creative boundary, an (...)
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  33.  3
    Matthew Spike, Kevin Stadler, Simon Kirby & Kenny Smith (2016). Minimal Requirements for the Emergence of Learned Signaling. Cognitive Science 40 (6):n/a-n/a.
    The emergence of signaling systems has been observed in numerous experimental and real-world contexts, but there is no consensus on which shared mechanisms underlie such phenomena. A number of explanatory mechanisms have been proposed within several disciplines, all of which have been instantiated as credible working models. However, they are usually framed as being mutually incompatible. Using an exemplar-based framework, we replicate these models in a minimal configuration which allows us to directly compare them. This reveals that the development of (...)
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  34.  38
    Monica Tamariz (2011). Could Arbitrary Imitation and Pattern Completion Have Bootstrapped Human Linguistic Communication? Interaction Studies 12 (1):36-62.
    The present study explores the idea that human linguistic communication co-opted a pre-existing population-wide behavioural system that was shared among social group members and whose structure reflected the structure of the environment. This system is hypothesized to have emerged from interactions among individuals who had evolved the capacity to imitate arbitrary, functionless behaviour. A series of agent-based computer simulations test the separate and joint effects of imitation, pattern completion behaviour, environment structure and level of social interaction on such (...)
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  35.  23
    Francesca M. Bosco & Maurizio Tirassa (1998). Sharedness as an Innate Basis for Communication in the Infant. In M. A. Gernsbacher & S. J. Derry (eds.), Proceedings of the 20th Annual Conference of the Cognitive Science Society. 162-166.
    From a cognitive perspective, intentional communication may be viewed as an agent's activity overtly aimed at modifying a partner's mental states. According to standard Gricean definitions, this requires each party to be able to ascribe mental states to the other, i.e., to entertain a so-called theory of mind. According to the relevant experimental literature, however, such capability does not appear before the third or fourth birthday; it would follow that children under that age should not be viewed as (...)
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  36.  29
    Maurizio Tirassa, Mental States in Communication.
    Abstract. This paper is concerned with the mental processes involved in intentional communication. I describe an agent's cognitive architecture as the set of cognitive dynamics (i.e., sequences of mental states with contents) she may entertain. I then describe intentional communication as one such specific dynamics, arguing against the prevailing view that communication consists in playing a role in a socially shared script. The cognitive capabilities needed for such dynamics are midreading (i.e., the ability to reason upon (...)
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  37.  12
    Pieter Dijkstra, Floris Bex, Henry Prakken & Kees Vey Mestdagdeh (2005). Towards a Multi-Agent System for Regulated Information Exchange in Crime Investigations. Artificial Intelligence and Law 13 (1):133-151.
    This paper outlines a multi-agent architecture for regulated information exchange of crime investigation data between police forces. Interactions between police officers about information exchange are analysed as negotiation dialogues with embedded persuasion dialogues. An architecture is then proposed consisting of two agents, a requesting agent and a responding agent, and a communication language and protocol with which these agents can interact to promote optimal information exchange while respecting the law. Finally, dialogue policies are defined for the (...)
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  38.  1
    Elena Daprati, Nicolas Franck, Nicolas Georgieff, Joëlle Proust, Elisabeth Pacherie, Jean Dalery & Marc Jeannerod, Looking for the Agent: An Investigation Into Consciousness of Action and Self-Consciousness in Schizophrenic Patients.
    The abilities to attribute an action to its proper agent and to understand its meaning when it is produced by someone else are basic aspects of human social communication. Several psychiatric syndromes, such as schizophrenia, seem to lead to a dysfunction of the awareness of one' s own action as well as of recognition of actions performed by others. Such syndromes offer a framework for studying the determinants of agency, the ability to correctly attribute actions to their veridical (...)
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  39.  7
    James A. Anderson (2003). An Ecology of Communication. American Journal of Semiotics 19 (1/4):35-67.
    Written from a post-modern perspective, this article makes use of the concepts of obligation, subject position, line of action, discursive form, sentient agent, exchange, mediating technology, intentionality, improvisational performance, and communicative routines to produce an overarching theory of communication and its processes. The work of the article is to develop the linkages among these concepts and founds this analysis in ethnographic research. It concludes that the process of communication occurs inside a nexus of obligation from relational subject (...)
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  40. Matthew Stone, Communication, Credibility and Negotiation Using a Cognitive Hierarchy Model.
    The cognitive hierarchy model is an approach to decision making in multi-agent interactions motivated by laboratory studies of people. It bases decisions on empirical assumptions about agents’ likely play and agents’ limited abilities to second-guess their opponents. It is attractive as a model of human reasoning in economic settings, and has proved successful in designing agents that perform effectively in interactions not only with similar strategies but also with sophisticated agents, with simpler computer programs, and with people. In this (...)
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  41.  13
    Ronald Fagin & Joseph Y. Halpern (1988). I'm OK If You're OK: On the Notion of Trusting Communication. [REVIEW] Journal of Philosophical Logic 17 (4):329 - 354.
    We consider the issue of what an agent or a processor needs to know in order to know that its messages are true. This may be viewed as a first step to a general theory of cooperative communication in distributed systems. An honest message is one that is known to be true when it is sent (or said). If every message that is sent is honest, then of course every message that is sent is true. Various weaker considerations (...)
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  42.  18
    Jan van Eijck, Multi-Agent Belief Revision with Linked Preferences.
    In this paper we forge a connection between dynamic epistemic logics of belief revision on one hand and studies of collective judgement and multi-agent preference change on the other. Belief revision in the spirit of dynamic epistemic logic uses updating with relational substitutions to change the beliefs of individual agents. Collective judgement in social choice theory studies the collective outcomes of individual belief changes. We start out from the logic of communication and change (LCC), which is basically epistemic (...)
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  43.  8
    M. Füllsack (2012). Communication Emerging? On Simulating Structural Coupling in Multiple Contingency. Constructivist Foundations 8 (1):103-110.
    Problem: Can communication emerge from the interaction of “self-referentially closed systems,” conceived as operating solely on the base of the “internal” output of their onboard means? Or in terms of philosophical conceptions: can communication emerge without (“outward” directed) “intention” or “will to be understood”? Method: Multi-agent simulation based on a conceptual analysis of the theory of social systems as suggested by Niklas Luhmann. Results: Agents that co-evolutionarily aggregate probabilities on how to cope with their environment can structurally (...)
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  44.  11
    Constantijn Heesen, Vincent Homburg & Margriet Offereins (1997). An Agent View on Law. Artificial Intelligence and Law 5 (4):323-340.
    Problem solving by autonomous, interacting computersystems has attracted much attention in the ArtificialIntelligence community. These autonomous computersystems, called agents, provide a promisingperspective for the legal knowledge-based systemscommunity, as legal problem solving often involvesdistributed problem solving capabilities that gobeyond the capabilities of individual knowledge-basedsystems.We focus on the coordination of agents andcommunication between agents by proposing a model ofcommunication between various agents using modellingtechniques such as communication primitives and statetransition diagrams. Our representation concerns theDutch Algemene Wet Bestuursrecht (AWB; GeneralAct on Administrative (...)
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  45.  87
    M. G. F. Martin (2010). Getting on Top of Oneself: Comments on Self-Expression. Acta Analytica 25 (1):81-88.
    This paper is a critical review of Mitchell Green’s Self-Expression . The principal focus is on Green’s contention that all expression is at route, a form of signalling by an agent or by some mechanism of the organism which has been evolutionary selected for signalling. Starting from the idea that in some but not all expression an agent seeks to express his or her self, I question the centrality of communication to the idea of expression.
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  46. Inna Semetsky (2009). The Magician in the World: Becoming, Creativity, and Transversal Communication. Zygon 44 (2):323-345.
    This essay interprets the meaning of one of the cards in aTarot deck, "The Magician," in the context of process philosophy in the tradition of Alfred North Whitehead. It brings into the conversation the philosophical legacy of American semiotician Charles Sanders Peirce as well as French poststructuralist Gilles Deleuze. Some of their conceptualizations are explored herein for the purpose of explaining the symbolic function of the Magician in the world. From the perspective of the logic of explanation, the sign of (...)
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  47. Bram Vanderborght, Ramona Simut, Jelle Saldien, Cristina Pop, Alina S. Rusu, Sebastian Pintea, Dirk Lefeber & Daniel O. David (2012). Using the Social Robot Probo as a Social Story Telling Agent for Children with ASD. Interaction Studiesinteraction Studies Social Behaviour and Communication in Biological and Artificial Systems 13 (3):348-372.
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  48.  3
    Bodo Winter & Andrew Wedel (2016). The Co‐Evolution of Speech and the Lexicon: The Interaction of Functional Pressures, Redundancy, and Category Variation. Topics in Cognitive Science 8 (2):503-513.
    The sound system of a language must be able to support a perceptual contrast between different words in order to signal communicatively relevant meaning distinctions. In this paper, we use a simple agent-based exemplar model in which the evolution of sound-category systems is understood as a co-evolutionary process, where the range of variation within sound categories is constrained by functional pressure to keep different words perceptually distinct. We show that this model can reproduce several observed effects on the range (...)
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  49.  5
    Charlotte K. Hemelrijk & Lorenz Gygax (2004). Dominance Style, Differences Between the Sexes and Individuals: An Agent-Based Model. Interaction Studiesinteraction Studies Social Behaviour and Communication in Biological and Artificial Systems 5 (1):131-146.
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  50.  31
    Swarup Mohalik & R. Ramanujam (2010). Automata for Epistemic Temporal Logic with Synchronous Communication. Journal of Logic, Language and Information 19 (4):451-484.
    We suggest that developing automata theoretic foundations is relevant for knowledge theory, so that we study not only what is known by agents, but also the mechanisms by which such knowledge is arrived at. We define a class of epistemic automata, in which agents’ local states are annotated with abstract knowledge assertions about others. These are finite state agents who communicate synchronously with each other and information exchange is ‘perfect’. We show that the class of recognizable languages has good closure (...)
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