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  1. No Access

    Chapter and Conference Paper

    Integrating Ontology Negotiation and Agent Communication

    Ontologies are considered a necessary ingredient for communication among heterogeneous agents in the Web. With the multiplication of ontologies for the same domains, semantic interoperability has become a chal...

    Marlo Souza, Alvaro Moreira, Renata Vieira, John-Jules Ch. Meyer in Ontology Engineering (2016)

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    Chapter and Conference Paper

    Explaining Bayesian Networks Using Argumentation

    Qualitative and quantitative systems to deal with uncertainty coexist. Bayesian networks are a well known tool in probabilistic reasoning. For non-statistical experts, however, Bayesian networks may be hard to...

    Sjoerd T. Timmer, John-Jules Ch. Meyer in Symbolic and Quantitative Approaches to Re… (2015)

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    Chapter and Conference Paper

    Reasoning about Dynamic Normative Systems

    The use of normative systems is widely accepted as an effective approach to control and regulate the behaviour of agents in multi-agent systems. When norms are added to a normative system, the behaviour of suc...

    Max Knobbout, Mehdi Dastani, John-Jules Ch. Meyer in Logics in Artificial Intelligence (2014)

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    Chapter and Conference Paper

    Full Hybrid μ-Calculus, Its Bisimulation Invariance and Application to Argumentation

    Previous research has shown that argumentation semantics can be described with Monadic Second Order Logic. While certain less expressive, modal, logics can also capture some of the semantics, the general issue...

    Cristian Gratie, Adina Magda Florea in Computational Logic in Multi-Agent Systems (2012)

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    Chapter and Conference Paper

    A Methodology for the Generation of Multi-agent Argumentation Dialogue Scenarios

    Increasingly research into the uses of argumentation in multi-agent dialogues takes an experimental approach. Such studies explore how agents can successfully employ argumentation besides the best and worst ca...

    Eric M. Kok, John-Jules Ch. Meyer, Herre van Oostendorp in Multi-Agent Systems (2012)

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    Chapter and Conference Paper

    Scenario-Based Training: Director’s Cut

    Research regarding autonomous learning shows that freeplay does not result in optimal learning. Combining scenario-based training with intelligent agent technology offers the possibility to create autonomous t...

    Marieke Peeters, Karel van den Bosch in Artificial Intelligence in Education (2011)

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    Chapter and Conference Paper

    A Formal Argumentation Framework for Deliberation Dialogues

    Agents engage in deliberation dialogues to collectively decide on a course of action. To solve conflicts of opinion that arise, they can question claims and supply arguments. Existing models fail to capture th...

    Eric M. Kok, John-Jules Ch. Meyer, Henry Prakken in Argumentation in Multi-Agent Systems (2011)

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    Chapter and Conference Paper

    Forbidding Undesirable Agreements: A Dependence-Based Approach to the Regulation of Multi-agent Systems

    The purpose of this contribution is to set up a language to evaluate the results of concerted action among interdependent agents against predetermined properties that we can recognise as desirable from a deont...

    Paolo Turrini, Davide Grossi, Jan Broersen in Deontic Logic in Computer Science (2010)

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    Chapter and Conference Paper

    Explaining and Predicting the Behavior of BDI-Based Agents in Role-Playing Games

    Virtual characters in games operate in a social context involving other characters and possibly human players as well. If such socially situated virtual characters are to be considered believable to players, t...

    Michal P. Sindlar, Mehdi M. Dastani in Declarative Agent Languages and Technologi… (2010)

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    Chapter and Conference Paper

    Debugging BDI-Based Multi-Agent Programs

    The development of multi-agent programs requires debugging tools and techniques to find and resolve possible defects in such programs. This paper focuses on BDI-based multi-agent programs, discusses some exist...

    Mehdi Dastani, Jaap Brandsema, Amco Dubel in Programming Multi-Agent Systems (2010)

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    Chapter and Conference Paper

    BDI-Based Development of Virtual Characters with a Theory of Mind

    Users expect characters in role-playing games to be proactive and social, but these characters fail to deliver in this respect due to limitations of traditional game AI programming approaches. BDI-based approa...

    Michal P. Sindlar, Mehdi M. Dastani, John-Jules Ch. Meyer in Intelligent Virtual Agents (2009)

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    Chapter and Conference Paper

    A Study into Preferred Explanations of Virtual Agent Behavior

    Virtual training systems provide an effective means to train people for complex, dynamic tasks such as crisis management or firefighting. Intelligent agents are often used to play the characters with whom a tr...

    Maaike Harbers, Karel van den Bosch, John-Jules Ch. Meyer in Intelligent Virtual Agents (2009)

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    Chapter and Conference Paper

    Personality-Based Practical Reasoning

    In virtual training scenarios, agent technology can be used to build a virtual tutor that assists a student during training. In a dialogue using argumentation schemes, the virtual tutor provides reasons to the...

    Thomas L. van der Weide, Frank Dignum in Argumentation in Multi-Agent Systems (2009)

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    Chapter and Conference Paper

    Normative Multi-agent Programs and Their Logics

    Multi-agent systems are viewed as consisting of individual agents whose behaviors are regulated by an organization artefact. This paper presents a simplified version of a programming language that is designed ...

    Mehdi Dastani, Davide Grossi in Knowledge Representation for Agents and Mu… (2009)

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    Chapter and Conference Paper

    A Formal Model of Emotion-Based Action Tendency for Intelligent Agents

    Although several formal models of emotions for intelligent agents have recently been proposed, such models often do not formally specify how emotions influence the behavior of an agent. In psychological litera...

    Bas R. Steunebrink, Mehdi Dastani in Progress in Artificial Intelligence (2009)

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    Chapter and Conference Paper

    Mental State Abduction of BDI-Based Agents

    In this paper we present mental state abduction, a technique for inferring the mental states (beliefs, goals) of BDI-based agents from observations of their actions. Abduced mental states are considered to be ...

    Michal P. Sindlar, Mehdi M. Dastani in Declarative Agent Languages and Technologi… (2009)

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    Chapter and Conference Paper

    Strategic Agent Communication: An Argumentation-Driven Approach

    This paper proposes a formal framework for agent communication where agents can reason about their goals using strategic reasoning. This reasoning is argumentation-based and enables agents to generate a set of...

    Jamal Bentahar, Mohamed Mbarki in Declarative Agent Languages and Technologi… (2009)

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    Chapter and Conference Paper

    Orwell’s Nightmare for Agents? Programming Multi-agent Organisations

    This paper presents a programming language that is designed to implement multi-agent organisations. These organisations are developed as separate entities regulating the behaviour of individual agents that int...

    Nick A. M. Tinnemeier, Mehdi Dastani in Programming Multi-Agent Systems (2009)

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    Chapter and Conference Paper

    Organizations and Autonomous Agents: Bottom-Up Dynamics of Coordination Mechanisms

    Agents in an organization need to coordinate their actions in order to reach the organizational goals. Organizational models specify the desired behaviour in terms of roles, relations, norms and interactions. ...

    Bob van der Vecht, Frank Dignum in Coordination, Organizations, Institutions … (2009)

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    Chapter and Conference Paper

    A Logic for Closed-World Interaction

    The aim of the work is to provide a language to reason about closed-world interaction, that is all those situations in which the outcomes of an interaction can be determined by the agents themselves and in whi...

    Jan Broersen, Rosja Mastop, John-Jules Ch. Meyer in Logics in Artificial Intelligence (2008)

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