Springer Intelligent Agents: Theory and Applications: 155 (Studies in Fuzziness and Soft Computing, 155)

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. From the Back Cover This monograph presents an integrated approach to agent theory. It introduces new concepts in the area of intelligent and adaptive agents in various contexts. Agents of different orders of complexity are presented including different levels of intelligence, uncertainty, and adaptation. The book introduces the abstract theory of adaptive agents as well as their applications to brain functions, robotics, or physical domains such as sound, gravity or electromagnetic fields.