Preferential Action Semantics
Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab
Linköping University, The Institute of Technology
Chapter in book (Other academic)
Handbook of Defeasible Reasoning and Uncertainty Management Systems: Volume 7:: Agent-Based Defeasible Control in Dynamic Environments
John-Jules Ch Meyer; Jan Treur
Handbook of Defeasible Reasoning and Uncertainty Management Systems; 7
This last volume of the Handbook of Defeasible Reasoning and Uncertainty Management Systems is - together with Volume 6 - devoted to the topics Reasoning and Dynamics, covering 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. The present volume presents work done in this context and is more focused on "reasoning about dynamics," viz. how (human and artificial) agents reason about (systems in) dynamic environments in order to control them. In particular modelling frameworks and generic agent models for modelling these dynamic systems and formal approaches to these systems such as logics for agents and formal means to reason about agent-based and compositional systems, and action & change more in general are considered.