Agents

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.

Robots and autonomous agents have permeated every aspect of human life. They are not only omnipresent on the shop floors; they have pervaded our homes and are around us everywhere. Design methodologies and implementation techniques of intelligent machines are making progress in leaps and bounds. Smart interaction, cooperation, and pro-activeness are the hallmarks of modern intelligent machines.

In this monograph, Joachim Baumann provides in-depth coverage of essential research issues; namely, mechanisms for locating and terminating mobile agents and for orphan detection in a mobile agent system. The reader will gain insights into the design and implementation of three control mechanisms for use in mobile agent systems: the energy concept, the path concept, and the shadow concept. The author examines these mechanisms and offers a solid argument as to why they would be better choices over existing mechanisms with respect to message complexity, migration delay, and availability. All in all, this book is an outstanding contribution to advancing the science of mobile agents and it will help the community better understand how to tame mobile agents.