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Logical Tools for Handling Change in Agent-Based Systems [electronic resource] / by Dov M. Gabbay, Karl Schlechta.

Por: Colaborador(es): Tipo de material: TextoTextoSeries Cognitive Technologies | Cognitive TechnologiesEditor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010Descripción: X, 305p. online resourceTipo de contenido:
  • text
Tipo de medio:
  • computer
Tipo de soporte:
  • online resource
ISBN:
  • 9783642044076
Trabajos contenidos:
  • SpringerLink (Online service)
Tema(s): Formatos físicos adicionales: Sin títuloClasificación CDD:
  • 006.3 23
Clasificación LoC:
  • Q334-342
  • TJ210.2-211.495
Recursos en línea:
Contenidos:
Springer eBooksResumen: Agents act on the basis of their beliefs and these beliefs change as they interact with other agents. In this book the authors propose and explain general logical tools for handling change. These tools include preferential reasoning, theory revision, and reasoning in inheritance systems, and the authors use these tools to examine nonmonotonic logic, deontic logic, counterfactuals, modal logic, intuitionistic logic, and temporal logic. This book will be of benefit to researchers engaged with artificial intelligence, and in particular agents, multiagent systems and nonmonotonic logic.
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and Motivation -- Basic Definitions and Results -- Abstract Semantics by Size -- Preferential Structures Part I -- Preferential Structures Part II -- Higher Preferential Structures -- Deontic Logic and Hierarchical Conditionals -- Theory Update and Theory Revision -- An Analysis of Defeasible Inheritance Systems.

Agents act on the basis of their beliefs and these beliefs change as they interact with other agents. In this book the authors propose and explain general logical tools for handling change. These tools include preferential reasoning, theory revision, and reasoning in inheritance systems, and the authors use these tools to examine nonmonotonic logic, deontic logic, counterfactuals, modal logic, intuitionistic logic, and temporal logic. This book will be of benefit to researchers engaged with artificial intelligence, and in particular agents, multiagent systems and nonmonotonic logic.

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