Computational Models of Argument : Proceedings of COMMA 2006.
Title:
Computational Models of Argument : Proceedings of COMMA 2006.
Author:
Dunne, P.E.
ISBN:
9781607501954
Personal Author:
Physical Description:
1 online resource (352 pages)
Series:
Frontiers in Artificial Intelligence and Applications
Contents:
Title page -- Preface -- Organisation -- Contents -- Argument in Agent Systems -- Towards Representing and Querying Arguments on the Semantic Web -- Building Agents that Plan and Argue in a Social Context -- Argue tuProlog: A Lightweight Argumentation Engine for Agent Applications -- An Application of Formal Argumentation: Fusing Bayes Nets in MAS -- Applications -- Value-Based Argumentation for Democratic Decision Support -- Argument Based Machine Learning in a Medical Domain -- CBR and Argument Schemes for Collaborative Decision Making -- Computational Properties of Argument -- Complexity Properties of Restricted Abstract Argument Systems -- Computing Preferred Extensions for Argumentation Systems with Sets of Attacking Arguments -- An Algorithm to Compute Minimally Grounded and Admissible Defence Sets in Argument Systems -- Semi-Stable Semantics -- Argumentation Frameworks and Schemes I -- Reasoning in Argumentation Frameworks Using Quantified Boolean Formulas -- A Dialectic Procedure for Sceptical, Assumption-Based Argumentation -- Evaluation and Comparison Criteria for Extension-Based Argumentation Semantics -- Argumentation Tools -- Translating Wigmore Diagrams -- First Steps Towards the Automatic Construction of Argument-Diagrams from Real Discussions -- The Carneades Argumentation Framework -- Pierson vs. Post Revisited -- Reasoning About Action -- Argumentation and Persuasion in the Cognitive Coherence Theory -- Knowing when to Bargain -- Justifying Actions by Accruing Arguments -- Argumentation Frameworks and Schemes II -- Handling Controversial Arguments in Bipolar Argumentation Systems -- On Acceptability in Abstract Argumentation Frameworks with an Extended Defeat Relation -- Automating Argumentation for Deliberation in Cases of Conflict of Interest -- The Logic of Multiple-Valued Argumentation and Its Applications to Web Technology.
Value Based Argumentation in Hierarchical Argumentation Frameworks -- Dialogue and Decision -- Combining Sceptical Epistemic Reasoning with Credulous Practical Reasoning -- Multi-Agent Agreements About Actions Through Argumentation -- Suspicion of Hidden Agenda in Persuasive Argument -- Author Index.
Abstract:
Argumentation has evolved from its original study primarily by philosophers to emerge in the last ten years as an important sub-discipline of Artificial Intelligence. There have been significant contributions resulting from this, including approaches to modelling and analysis of defeasible reasoning, formal bases for negotiation and dialogue processes in multiagent systems, and the use of argumentation theory in AI applications whose nature is not best described through traditional logics, e.g. legal reasoning, evaluation of conflicting beliefs, etc. The process of interpreting and exploiting classical treatments of Argumentation Theory in effective computational terms has led to a rich interchange of ideas among researchers from disciplines such as Philosophy, Linguistics, AI and Economics. While work over recent years has done much to consolidate diverse contributions to the field, many new concerns have been identified and form the basis of current research. The papers in this volume, presented as part of the 1st International Conference on Computational Model of Arguments (COMMA) in September 2006, give a valuable overview of on-going research issues and concerns within this field.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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