Intelligent Agents: Theory and Applications / Edition 1

by Germano Resconi

Overview

This research book presents the agent theory and adaptation of agents in different contexts. Agents of different orders of complexity must be autonomous in the rules used. The agent must have a brain by which it can discover rules contained within the data. Because rules are the instruments by which agents change the environment, any adaptation of the rules can be considered as an evolution of the agents. Because uncertainty is present in every context, we shall describe in this book how it is possible to introduce global uncertainty from the local world into the description of the rules. This book contains ten chapters. Chapter 1 gives a general dscription of the evolutionary adaptation agent. Chapter 2 describes the actions and meta­ actions of the agent at different orders. Chapter 3 presents in an abstract and formal way the actions at different orders. Chapter 4 connects systems and meta systems with the adaptive agent. Chapter 5 describes the brain of the agent by the morphogenetic neuron theory. Chapter 6 introduces the logic structure of the adaptive agent. Chapter 7 describes the feedback and hyper-feedback in the adaptive agent. Chapter 8 introduces the adaptation field into the modal logic space as logic instrument in the adaptive agent. Chapter 9 describes the action of the agent in the physical domain. Chapter 10 presents the practical application of agents in robots and evolutionary computing.

Product Details

ISBN-13:	9783540220039
Publisher:	Springer Berlin Heidelberg
Publication date:	06/24/2004
Series:	Studies in Fuzziness and Soft Computing , #155
Edition description:	2004
Pages:	404
Product dimensions:	6.10(w) x 9.25(h) x 0.04(d)

Table of Contents

1. Evolutionary adaptive agents.- 2. Adaptive agents and their actions.- 3. Abstract theory of adaptive agents.- 4. Adaptive agents and complex systems.- 5. Adaptive agents and models of the brain functions.- 6. Logic actions of adaptive agents.- 7. The hierarchical structure of adaptive agents.- 8. The adaptive field in logical conceptual space.- 9. Adaptive agents in the physical domain.- 10. Practical applications of agents in robots and evolution population.