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."
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