附註:Includes bibliographical references and index.
From biologically inspired computing to natural computing -- Evolutionary Turing machines: the quest for busy beavers -- Generalized extremal optimization: a new meta-heuristic inspired by a model of natural evolution -- Genetic programming using a Turing-complete representation: recurrent network consisting of trees -- Gene expression programming and the evolution of computer programs -- The clonal selection principle for in silico and in vitro computation -- Integrating evolutionary computation components in ant colony optimization -- Ant colony algorithms for Steiner trees : an application to routing in sensor networks -- The influence of pheromone and adaptive vision in the standard ant clustering algorithm -- Particle swarms : optimization based on sociocognition -- Synthetic approach to semiotic artificial creatures -- Perspectives for strong artificial life -- Controlling robots with fractal gene regulatory networks -- Once more unto the breach: towards artificial homeostasis? -- Biologically inspired collective robotics -- Continuous attractor neural networks.
摘要:"Recent Developments in Biologically Inspired Computing is for undergraduate and graduate students, and researchers interested in knowing the most recent advances in problem solving techniques inspired by nature. This book covers the most relevant areas in computational intelligence, including evolutionary algorithms, artificial neural networks, artificial immune systems and swarm systems. It also brings together novel and philosophical trends in the fields of artificial life and robotics. This book covers a large number of computational approaches, presenting the state-of-the-art before entering into the details of specific extensions and new developments. Pseudocodes, flow charts and examples of applications are provided."--Jacket.
