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

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.

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 ANN
2. 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 Action
3. 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 Sdnchez
4. 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 Matrix
5. Bio-inspired Distributed/Parallel Processing
6. Bio-inspired Networking
7. Image Processing
8. Other Topics
Author Index