Overview

This volume is focused on the dynamics of reasoning processes. It covers both the topics of 'Dynamics of Reasoning', where reasoning is viewed as a process, and 'Reasoning about Dynamics', which must be understood as pertaining to how both designers of, and agents within dynamic systems may reason about these systems. In this volume real-life applications of the modelling techniques are also considered, as the research during the DRUMS (Defeasible Reasoning and Uncertainty Management Systems) project was aimed at bridging the gap between theory and practice. In order to give the book a broader perspective, a number of well-known researchers outside the project but working on similar topics, have been invited to contribute as well.

Full Product Details

Author:   John-Jules Ch. Meyer ,  Jan Treur
Publisher:   Springer
Imprint:   Springer
Edition:   Softcover reprint of hardcover 1st ed. 2002
Volume:   6
Dimensions:   Width: 21.00cm , Height: 2.00cm , Length: 27.90cm
Weight:   0.972kg
ISBN:  

9789048159031

ISBN 10:   9048159032
Pages:   386
Publication Date:   15 December 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock  
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Table of Contents

Basic Concepts.- Temporal Semantics of Meta-Level Architectures for Dynamic Control of Reasoning.- Formal Semantics of Temporal Epistemic Reflection.- Compositional Verification of Diagnostic Process Models.- Specification of Nonmonotonic Reasoning.- An Interpretation of Default Logic in Minimal Temporal Epistemic Logic.- The Dynamics of Default Reasoning.- Default Logic as Dynamic Doxastic Logic.- Temporalized Epistemic Default Logic.- Meta-level Selection Techniques for the Control of Default Reasoning.- A New Semantics for Logic Programs.- Context-Dependent Natural Deduction for Non-Monotonic Reasoning.- Dynamic Normative Reasoning Under Uncertainty.- A Formal Analysis of Pro-activenes and Reactiveness in Cooperative Information Gathering.- Modelling Internal Dynamic Behaviour of BDI Agents.- Deliberate Evolution in Multi-Agent Systems.

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