Biologically Inspired Approaches to Advanced Information Technology生物学启发的高级信息技术方法/会议文集

作者简介

This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Biologically Inspired Approaches to Advanced Information Technology, BioADIT 2004, held in Lausanne, Switzerland in January 2004.    The 36 full papers presented together with an introductory overview have gone through two rounds of reviewing and revision; they were selected and are arranged in a way ensuring systematic coverage of important bio-inspired approaches in computing. The papers are organized in sections on biosystems for IT evolution, bio-inspired software systems, hardware systems, robotics, bio-inspired distributed and parallel processing, bio-inspired networking, image processing, and other topics.

书籍目录

1. Biosystems for IT Evolution　Object-Oriented Specification of Complex Bio-computing Processes:　A Case Study of a Network of Proteolytic Enzymes　Analysis of Responses of Complex Bionetworks to Changes　in Environmental Conditions　Experimental Molecular Evolution Showing Flexibility of Fitness Leading to Coexistence and Diversification in Biological System　Echo State Networks and Self-Prediction　Learning Bayesian Networks by Lamarckian Genetic Algorithm　and Its Application to Yeast Cell-Cycle Gene Network Reconstruction　from Time-Series Microarray Data　Towards Cortex Sized Attractor ANN2. Bio-inspired Software Systems　Biologically Inspired Reinforcement Learning: Reward-Based　Decomposition for Multi-goal Environments　Dynamic Self-Assembly and Computation: From Biological　to Information Systems　Implementation and Evaluation of a System to Support Human　Relationship Formation in Networked Virtual Space　Biologically Plausible Speech Recognition with LSTM Neural Nets　Spatial Tangible User Interfaces for Cognitive Assessment and Training　Biologically Inspired Computer Virus Detection System　Explaining Low-Level Brightness-Contrast Illusions Using Disinhibition　Autonomous Acquisition of the Meaning of Sensory States Through Sensory-Invariance Driven Action3. Hardware Systems　Characterizing the Firing Properties of an Adaptive Analog VLSI Neuron　Embryonic Machines That Divide and Differentiate　Artificial Cellular Division by Self-Inspection　A Hardware Implementation of a Network of Functional Spiking Neurons with Hebbian Learning     Andrds Upegui, Carlos Andrds Peda-Reyes, Eduardo Sdnchez4. Robotics　A Study on Designing Robot Controllers by Using Reinforcement Learning with Evolutionary State Recruitment Strategy　Movement Generation and Control with Generic Neural Microcircuits　Efficiency and Task Allocation in Prey Retrieval　Anatomy and Physiology of an Artificial Vision Matrix5. Bio-inspired Distributed/Parallel Processing6. Bio-inspired Networking7. Image Processing8. Other TopicsAuthor Index

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