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Engagement and Cooperating in Motivated Agent Modelling

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TLDR
The nature of cooperation within a formal framework for agency and autonomy in which agents are viewed as objects with goals, and autonomous agents are agents with motivations is considered, and the differences that arise are described as engagements of non-autonomous agents, and cooperation between autonomous agents.
Abstract: 
The title of this paper suggests two distinct aspects of the models that we propose and consider. The first of these is the modelling of other agents by motivated agents. That is to say that the act of modelling is itself motivated and constrained by the agent doing that modelling. The second aspect is that all such models will also be of motivated agents. It is not sufficient merely to know what other agents are like, but also to know why they are like that. This why aspect is what provides the extra information that allows a greater understanding of the interactions between entities in the world, and consequently provides for more resilient agents capable of effectively dealing with new and unforeseen circumstances in an uncertain world. Previous work has described a formal framework for agency and autonomy in which agents are viewed as objects with goals, and autonomous agents are agents with motivations. This paper considers the nature of cooperation within that framework. We identify distinct kinds of interaction, depending on the nature of the entities involved. In particular, we describe and specify the differences that arise in these interactions which we characterise as engagements of non-autonomous agents, and cooperation between autonomous agents.

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Engineering AgentSpeak(L): A Formal Computational Model

TL;DR: This paper builds on earlier work by Rao on developing a strongly-typed, formal, yet computational model of the BDI-based AgentSpeak(L) language, and gives a formal specification of a general BDI architecture that can be used as the basis for providing further formal specifications of more sophisticated systems.
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A Conceptual Framework for Agent Definition and Development

TL;DR: The Z specification language is used to provide an accessible and unified formal account of agent systems, allowing us to escape from the terminological chaos that surrounds agents.
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From Agent Theory to Agent Construction: A Case Study

TL;DR: The construction of an agent simulation environment that is based strongly on a formal theory of agent systems, but which is intended to serve in exactly this way as a basis for practical development is described.
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Formalisms for multi-agent systems

TL;DR: In the field of multi-agent systems as mentioned in this paper, the goal is to build systems capable of flexible autonomous decision making, with societies of such systems cooperating with one-another, but it is often not obvious what such theories should represent and what role the theory is intended to play.
Book ChapterDOI

Applying Agents to Bioinformatics in GeneWeaver

TL;DR: The problem domain is introduced and GeneWeaver is described, a multi-agent system for genome analysis, which explains the suitability of the information agent paradigm to the problem domain, and focuses on the problem of incorporating different existing analysis tools.
References
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Journal ArticleDOI

The case for motivated reasoning.

TL;DR: It is proposed that motivation may affect reasoning through reliance on a biased set of cognitive processes--that is, strategies for accessing, constructing, and evaluating beliefs--that are considered most likely to yield the desired conclusion.
Book ChapterDOI

Agent theories, architectures, and languages: a survey

TL;DR: A survey of what the authors perceive to be the most important theoretical and practical issues associated with the design and construction of intelligent agents is presented.
Journal ArticleDOI

Elements of a plan-based theory of speech acts

TL;DR: This paper explores the truism that people think about what they say and proposes that, to satisfy their own goals, people often plan their speech acts to affect their listeners' beliefs, goals, and emotional states.
Journal ArticleDOI

Frameworks for Cooperation in Distributed Problem Solving

TL;DR: Two forms of cooperation in distributed problem solving are considered: task-sharing and result-sharing, and the basic methodology is presented and systems in which it has been used are described.