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

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  1. 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: 54.0
    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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  2. Bryan Renne (2012). Multi-Agent Justification Logic: Communication and Evidence Elimination. [REVIEW] Synthese 185 (S1):43-82.score: 51.0
    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. Raphen Becker, Alan Carlin, Victor Lesser & Shlomo Zilberstein (2009). Analyzing Myopic Approaches for Multi‐Agent Communication. In L. Magnani (ed.), Computational Intelligence. 31-50.score: 45.0
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  4. 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.score: 45.0
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  5. 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.score: 45.0
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  6. Katsuhiko Sano & Satoshi Tojo (2013). Dynamic Epistemic Logic for Channel-Based Agent Communication. In. In Kamal Lodaya (ed.), Logic and its Applications. Springer. 109--120.score: 45.0
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  7. 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: 36.0
    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 (...)
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  8. Roland Mühlenbernd (2011). Learning with Neighbours. Synthese 183 (S1):87-109.score: 36.0
    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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  9. 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.score: 36.0
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  10. Mai Miyabe, Takashi Yoshino & Tomohiro Shigenobu (2008). Effects of Repair Support Agent for Accurate Multilingual Communication. In. In Tu-Bao Ho & Zhi-Hua Zhou (eds.), Pricai 2008: Trends in Artificial Intelligence. Springer. 1022--1027.score: 36.0
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  11. 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.score: 36.0
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  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.score: 36.0
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  13. Paul Piwek (2011). Dialogue Structure and Logical Expressivism. Synthese 183 (S1):33-58.score: 33.0
    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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  14. Ulf Lotzmann, Michael Möhring & Klaus G. Troitzsch (2013). Simulating the Emergence of Norms in Different Scenarios. Artificial Intelligence and Law 21 (1):109 - 138.score: 33.0
    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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  15. Gani Aldashev & Timoteo Carletti (2009). Benefits of Diversity, Communication Costs, and Public Opinion Dynamics. Complexity 15 (2):54-63.score: 33.0
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  16. Dale J. Barr (2004). Establishing Conventional Communication Systems: Is Common Knowledge Necessary? Cognitive Science 28 (6):937-962.score: 33.0
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  17. Maxim Lebedev (2008). The Agent of Virtual Communications. Proceedings of the Xxii World Congress of Philosophy 39:129-135.score: 30.0
    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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  18. 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.score: 30.0
    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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  19. Hal Robinson (2012). Digital Publishing. Logos 23 (4):7-20.score: 30.0
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  20. Constantijn Heesen, Vincent Homburg & Margriet Offereins (1997). An Agent View on Law. Artificial Intelligence and Law 5 (4):323-340.score: 29.0
    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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  21. Orlin Vakarelov (2011). The Cognitive Agent: Overcoming Informational Limits. Adaptive Behavior 19 (2):83-100.score: 27.0
    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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  22. Brian Logan, Mark Jago & Natasha Alechina (2006). Modelling Communicating Agents in Timed Reasoning Logics. In U. Endriss & M. Baldoni (eds.), Declarative Agent Languages and Technologies 4. Springer.score: 27.0
    Practical reasoners are resource-bounded—in particular they require time to derive consequences of their knowledge. Building on the Timed Reasoning Logics (TRL) framework introduced in [1], we show how to represent the time required by an agent to reach a given conclusion. TRL allows us to model the kinds of rule application and conflict resolution strategies commonly found in rule-based agents, and we show how the choice of strategy can influence the information an agent can take into account when (...)
     
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  23. 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: 27.0
    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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  24. Peter G. Modin & Sven Ove Hansson (2011). Moral and Instrumental Norms in Food Risk Communication. Journal of Business Ethics 101 (2):313 - 324.score: 27.0
    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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  25. Julien Saunier, Flavien Balbo & Suzanne Pinson (forthcoming). A Formal Model of Communication and Context Awareness in Multiagent Systems. Journal of Logic, Language and Information:1-29.score: 27.0
    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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  26. Peter McBurney & Simon Parsons (2007). Retraction and Revocation in Agent Deliberation Dialogs. Argumentation 21 (3):269-289.score: 26.0
    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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  27. van Benthem, Johan, van Eijck, Jan & Kooi, Barteld, Logics of Communication and Change.score: 24.0
    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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  28. Barteld Kooi, Jan van Eijck & Johan van Benthem, Logics of Communication and Change.score: 24.0
    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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  29. Karen Kovach (2003). The International Community as Moral Agent. Journal of Military Ethics 2 (2):99-106.score: 24.0
    In this paper, I propose a deliberative model of the concept of the international community. The international community is a community of the world's people, peoples, and states insofar as they take themselves to be part of a potentially universal agency. I suggest that we distinguish the possibility that a more 'concrete' agent represents the international community from the practice that states, organizations, and individuals engage in of offering claims about the beliefs and attitudes of the international community in (...)
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  30. Jeff Pelletier, Enumerating the Preconditions of Agent Message Types.score: 24.0
    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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  31. Elliott Wagner (2009). Communication and Structured Correlation. Erkenntnis 71 (3):377 - 393.score: 22.0
    Philosophers and social scientists have recently turned to Lewis sender–receiver games to provide an account of how lexical terms can acquire meaning through an evolutionary process. However, the evolution of meaning is contingent on both the particular sender–receiver game played and the choice of evolutionary dynamic. In this paper I explore some differences between models that presume an infinitely large and randomly mixed population and models in which a finite number of agents communicate with their neighbors in a social network. (...)
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  32. Miriam De Boer, Ivan Toni & Roel M. Willems (2013). What Drives Successful Verbal Communication? Frontiers in Human Neuroscience 7.score: 22.0
    There is a vast amount of potential mappings between behaviours and intentions in communication: a behaviour can indicate a multitude of different intentions, and the same intention can be communicated with a variety of behaviours. Humans routinely solve these many-to-many referential problems when producing utterances for an Addressee. This ability might rely on social cognitive skills, for instance, the ability to manipulate unobservable summary variables to disambiguate ambiguous behaviour of other agents (“mentalizing”) and the drive to invest resources into (...)
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  33. Richard Breheny (2006). Communication and Folk Psychology. Mind and Language 21 (1):74-107.score: 21.0
    Prominent accounts of language use (those of Grice, Lewis, Stalnaker, Sperber and Wilson among others) have viewed basic communicative acts as essentially involving the attitudes of the participating agents. Developmental data poses a dilemma for these accounts, since it suggests children below age four are competent communicators but would lack the ability to conceptualise communication if philosophers and linguists are right about what communication is. This paper argues that this dilemma is quite serious and that these prominent accounts (...)
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  34. 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.score: 21.0
    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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  35. Johan van Benthem, 'One is a Lonely Number': On the Logic of Communication.score: 21.0
    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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  36. 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.score: 21.0
    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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  37. Adrian Costache (2011). Toward a New Middle Ages? On Aurel Codoban’s The Empire of Communication. [REVIEW] Journal for Communication and Culture 1 (2):162-166.score: 21.0
    Codoban, Aurel. Imperiul comunicării: corp, imagine şi relaţionare (The Empire of Communication: Body, Image and Relation). Cluj-Napoca: Idea, 2011.
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  38. 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.score: 21.0
    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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  39. Matthew Stone, Communication, Credibility and Negotiation Using a Cognitive Hierarchy Model.score: 21.0
    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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  40. Jan van Eijck, Multi-Agent Belief Revision with Linked Preferences.score: 21.0
    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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  41. Jan van Eijck, Multi-Agent Belief Revision with Linked Plausibilities.score: 21.0
    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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  42. 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: 21.0
    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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  43. Monica Tamariz (2011). Could Arbitrary Imitation and Pattern Completion Have Bootstrapped Human Linguistic Communication? Interaction Studies 12 (1):36-62.score: 21.0
    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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  44. 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.score: 21.0
    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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  45. Maurizio Tirassa, Mental States in Communication.score: 21.0
    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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  46. M. Füllsack (2012). Communication Emerging? On Simulating Structural Coupling in Multiple Contingency. Constructivist Foundations 8 (1):103-110.score: 21.0
    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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  47. Kali Penney, Jeremy Snyder, Valorie A. Crooks & Rory Johnston (2011). Risk Communication and Informed Consent in the Medical Tourism Industry: A Thematic Content Analysis of Canadian Broker Websites. [REVIEW] BMC Medical Ethics 12 (1):17-.score: 21.0
    Background: Medical tourism, thought of as patients seeking non-emergency medical care outside of their home countries, is a growing industry worldwide. Canadians are amongst those engaging in medical tourism, and many are helped in the process of accessing care abroad by medical tourism brokers - agents who specialize in making international medical care arrangements for patients. As a key source of information for these patients, brokers are likely to play an important role in communicating the risks and benefits of undergoing (...)
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  48. 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.score: 21.0
    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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  49. Jeremy Pitt (2004). The Open Agent Society as a Platform for the User-Friendly Information Society. AI and Society 19 (2):123-158.score: 21.0
    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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  50. Achim Stephan, Manuela Lenzen, Josep Call & Matthias Uhl (2008). Communication and Cooperation in Living Beings and Artificial Agents. In Ipke Wachsmuth, Manuela Lenzen & Günther Knoblich (eds.), Embodied Communication in Humans and Machines. Oup Oxford.score: 21.0
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