Despite different computerised approaches have been hardwired to solve various complex practical problems; few are founded on an adaptive paradigm such that a computational model interacts with its environment, loosely wires itself and learns from experience like humans do. This book presents our attempt to craft a computational model that learns from interactions and adapts based on its experience. We draw ideas from cognitive psychology in relation to human experiential learning, particularly the notions of “situatedness”, “constructive memory” and “concept formation”. When applied to design activities, which are intrinsically dynamic and interactive, this model constructs concepts from interactions between the agent, the design problem and the use of the design tool. Such a design interaction tool generates knowledge based on the agent’s grounded generalisation from contextual information in a situated manner. Adaptive behaviours emerge from coupled interactions of the system from a macroscopic and a microscopic level. This book is suitable for researchers and students interested in pursuing computerised approaches based on cognitive science and natural computing.

Данное издание не является оригинальным. Книга печатается по технологии принт-он-деманд после получения заказа.