Description

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.