Biologically Inspired Cooperative Computing : IFIP 19th World Computer Congress, TC 10: 1st IFIP International Conference on Biologically Inspired Cooperative Computing, August 21-24, 2006, Santiago, Chile

International Federation for Information Processing The IFIP series publishes state-of-the-art results in the sciences and technologies of information and communication. The scope of the series includes: foundations of computer science; software theory and practice; education; computer applications in technology; communication systems; systems modeling and optimization; information systems; computers and society; computer systems technology; security and protection in information processing systems; artificial intelligence; and human-computer interaction. Proceedings and post-proceedings of referred international conferences in computer science and interdisciplinary fields are featured. These results often precede journal publication and represent the most current research. The principal aim of the IFIP series is to encourage education and the dissemination and exchange of information about all aspects of computing. 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Front Matter....Pages i-x An Immune System Paradigm for the Assurance of Dependability of Collaborative Self-organizing Systems....Pages 1-6 99% (Biological) Inspiration .......Pages 7-20 Biologically-Inspired Design: Getting It Wrong and Getting It Right....Pages 21-32 On Building Maps of Web Pages with a Cellular Automaton....Pages 33-42 Completing and Adapting Models of Biological Processes....Pages 43-54 The Utility of Pollination for Autonomic Computing....Pages 55-64 Towards Distributed Reasoning for Behavioral Optimization....Pages 65-74 Ant Based Heuristic for OS Service Distribution on Ad Hoc Networks....Pages 75-84 An Artificial Hormone System for Self-organization of Networked Nodes....Pages 85-94 A Biologically Motivated Computational Architecture Inspired in the Human Immunological System to Quantify Abnormal Behaviors to Detect Presence of Intruders....Pages 95-106 Error Detection Techniques Applicable in an Architecture Framework and Design Methodology for Autonomic SoCs....Pages 107-113 A Reconfigurable Ethernet Switch for Self-Optimizing Communication Systems....Pages 115-124 Learning Useful Communication Structures for Groups of Agents....Pages 125-135 Maintaining Communication Between an Explorer and a Base Station....Pages 137-146 Active Patterns for Self-Optimization....Pages 147-156 Acute Stress Response for Self-optimizing Mechatronic Systems....Pages 157-167 The Self Distributing Virtual Machine (SDVM): Making Computer Clusters Adaptive....Pages 169-178 Teleworkbench: An Analysis Tool for Multi-Robotic Experiments....Pages 179-188 Trading off Impact and Mutation of Knowledge by Cooperatively Learning Robots....Pages 189-198 Emergent Distribution of Operating System Services in Wireless Ad Hoc Networks....Pages 199-208 Back Matter....Pages 209-210 In the world of information technology, it is no longer the computer in the classical sense where the majority of IT applications is executed; computing is everywhere. More than 20 billion processors have already been fabricated and the majority of them can be assumed to still be operational. At the same time, virtually every PC worldwide is connected via the Internet. This combination of traditional and embedded computing creates an artifact of a complexity, heterogeneity, and volatility unmanageable by classical means. Each of our technical artifacts with a built-in processor can be seen as a''Thing that Thinks', a term introduced by MIT's Thinglab. It can be expected that in the near future these billions of Things that Think will become an''Internet of Things', a term originating from ETH Zurich. This means that we will be constantly surrounded by a virtual'organism'of Things that Think. This organism needs novel, adequate design, evolution, and management means which is also one of the core challenges addressed by the recent German priority research program on Organic Computing. In The World Of Information Technology, It Is No Longer The Computer In The Classical Sense Where The Majority Of It Applications Is Executed; Computing Is Everywhere. More Than 20 Billion Processors Have Already Been Fabricated And The Majority Of Them Can Be Assumed To Still Be Operational. At The Same Time, Virtually Every Pc Worldwide Is Connected Via The Internet. This Combination Of Traditional And Embedded Computing Creates An Artifact Of A Complexity, Heterogeneity, And Volatility Unmanageable By Classical Means. Each Of Our Technical Artifacts With A Built-in Processor Can Be Seen As A ''thing That Thinks, A Term Introduced By Mit's Thinglab. It Can Be Expected That In The Near Future These Billions Of Things That Think Will Become An ''internet Of Things, A Term Originating From Eth Zurich. This Means That We Will Be Constantly Surrounded By A Virtual Organism Of Things That Think. This Organism Needs Novel, Adequate Design, Evolution, And Management Means Which Is Also One Of The Core Challenges Addressed By The Recent German Priority Research Program On Organic Computing.