Artificial Life: Borrowing from Biology: 4th Australian Conference, ACAL 2009, Melbourne, Australia, December 1-4, 2009, Proceedings

ISBN-13: 9783642104268 / Angielski / Miękka / 2009 / 283 str.

Kevin B. Korb;Marcus Randall;Tim Hendtlass

Opis

Asweapproachthelimitsandcapabilitiesofmachines, we?ndthattheprinciple of diminishing returns is forcing scientists to turn their attention towardbiology to provide practical solutions to problems in our increasingly complex world.An emerging?eldofsciencethatstudies thesystemsrelatedtolife, its processesand evolution is known as Art?cial Life (ALife). It draws on the skills and talents of scientists from a variety of disciplines, including, but not limited to, biology, psychology, evolutionand computer science. These researchersareshowingthat, by using even simple simulations of the basic processes of nature, much about our complex natural world and our own humanity can be revealed. Gatherings in the expanding Alife community are becoming more common. One such series, the Australian Conference on Arti?cial Life (ACAL), began in Adelaide in 2001 and was known as the "Inaugral Workshop on Arti?cal Life." From these small beginnings, it has become a biennial event that has previously been held in Canberra (2003), Sydney (2005)and the Gold Coast (2007). ACAL 2009 received over 60 quality submissions of which 27 were accepted for oral presentation at the conference. Each paper submission was assigned to three members of the Program Committee. The Program Committe, as well as the conference delegates, came from countries across Asia-Paci?c, North America and Europe. In addition to the regular papers, the conference was fortunate enough to be able to have two renowned invited speakers - Mark Bedau (Reed College, USA) and Andries Englebrecht (University of Pretoria, South Africa).

Spis treści

Alife Art.- An Empirical Exploration of a Definition of Creative Novelty for Generative Art.- A New Definition of Creativity.- Genetically Optimized Architectural Designs for Control of Pedestrian Crowds.- Game Theory.- Co-evolutionary Learning in the N-player Iterated Prisoner’s Dilemma with a Structured Environment.- Evolving Cooperation in the N-player Prisoner’s Dilemma: A Social Network Model.- Using Misperception to Counteract Noise in the Iterated Prisoner’s Dilemma.- Evolution.- An Analysis and Evaluation of the Saving Capability and Feasibility of Backward-Chaining Evolutionary Algorithms.- Evolutionary Intelligence and Communication in Societies of Virtually Embodied Agents.- Testing Punctuated Equilibrium Theory Using Evolutionary Activity Statistics.- Complex Systems.- Evaluation of the Effectiveness of Machine-Based Situation Assessment.- Experiments with the Universal Constructor in the DigiHive Environment.- Making a Self-feeding Structure by Assembly of Digital Organs.- Towards Tailored Communication Networks in Assemblies of Artificial Cells.- Biological Systems.- A Developmental System for Organic Form Synthesis.- Layered Random Inference Networks.- Modelling Hepatitis B Virus Antiviral Therapy and Drug Resistant Mutant Strains.- Multivesicular Assemblies as Real-World Testbeds for Embryogenic Evolutionary Systems.- Social Modelling.- Designing Adaptive Artificial Agents for an Economic Production and Conflict Model.- Emergent Societal Effects of Crimino-Social Forces in an Animat Agent Model.- Swarm Intelligence.- A Heterogeneous Particle Swarm.- An Analysis of Locust Swarms on Large Scale Global Optimization Problems.- Continuous Swarm Surveillance via Distributed Priority Maps.- Optimization in Fractal and Fractured Landscapes Using Locust Swarms.- Heuristics.- A Hybrid Extremal Optimisation Approach for the Bin Packing Problem.- Feedback of Delayed Rewards in XCS for Environments with Aliasing States.- Memetic Approaches for Optimizing Hidden Markov Models: A Case Study in Time Series Prediction.- The Effects of Different Kinds of Move in Differential Evolution Searches.

Blurb

This book constitutes the refereed proceedings of the 4th Australian Conference on Artificial Life, ACAL 2009, held in Melbourne, Australia, in December 2009.

The 27 revised full papers presented were carefully reviewed and selected from 60 submissions. Research in Alife covers the main areas of biological behaviour as a metaphor for computational models, computational models that reproduce/duplicate a biological behaviour, and computational models to solve biological problems. Thus, Alife features analyses and understanding of life and nature and helps modeling biological systems or solving biological problems. The papers are organized in topical sections on alife art, game theory, evolution, complex systems, biological systems, social modelling, swarm intelligence, and heuristics.