LEADER 05679oam 2200673 450 001 996465755703316 005 20210513094927.0 010 $a3-540-76931-5 024 7 $a10.1007/978-3-540-76931-6 035 $a(CKB)1000000000490894 035 $a(SSID)ssj0000319614 035 $a(PQKBManifestationID)11222546 035 $a(PQKBTitleCode)TC0000319614 035 $a(PQKBWorkID)10338734 035 $a(PQKB)11640277 035 $a(DE-He213)978-3-540-76931-6 035 $a(MiAaPQ)EBC4976573 035 $a(MiAaPQ)EBC5594477 035 $a(MiAaPQ)EBC6407988 035 $a(Au-PeEL)EBL4976573 035 $a(CaONFJC)MIL134248 035 $a(OCoLC)1024258829 035 $a(Au-PeEL)EBL5594477 035 $a(OCoLC)191471523 035 $a(PPN)123729165 035 $a(EXLCZ)991000000000490894 100 $a20210513d2007 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 00$aProgress in artificial life $ethird Australian conference, ACAL 2007, Gold Coast, Australia, December 4-6, 2007 : proceedings /$fMarcus Randall, Hussein A. Abbass, Janet Wiles (editors) 205 $a1st ed. 2007. 210 1$aBerlin ;$aHeidelberg ;$aNew York :$cSpringer,$d[2007] 210 4$d©2007 215 $a1 online resource (XII, 404 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v4828 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-76930-7 327 $aHeuristics I -- Alternative Solution Representations for the Job Shop Scheduling Problem in Ant Colony Optimisation -- Analyzing the Role of ?Smart? Start Points in Coarse Search-Greedy Search -- Concealed Contributors to Result Quality ? The Search Process of Ant Colony System -- Ants Guide Future Pilots -- Complex Systems I -- Information Transfer by Particles in Cellular Automata -- An Artificial Development Model for Cell Pattern Generation -- Rounds Effect in Evolutionary Games -- Modelling Architectural Visual Experience Using Non-linear Dimensionality Reduction -- An Evolutionary Benefit from Misperception in Foraging Behaviour -- Simulated Evolution of Discourse with Coupled Recurrent Networks -- How Different Hierarchical Relationships Impact Evolution -- A Dual Phase Evolution Model of Adaptive Radiation in Landscapes -- Biological Systems I -- Directed Evolution of an Artificial Cell Lineage -- An Integrated QAP-Based Approach to Visualize Patterns of Gene Expression Similarity -- Complement-Based Self-Replicated, Self-Assembled Systems (CBSRSAS) -- Self-maintained Movements of Droplets with Convection Flow -- Structural Circuits and Attractors in Kauffman Networks -- The Effects of Learning on the Roles of Chance, History and Adaptation in Evolving Neural Networks -- Unsupervised Acoustic Classification of Bird Species Using Hierarchical Self-organizing Maps -- The Prisoner?s Dilemma with Image Scoring on Networks: How Does a Player?s Strategy Depend on Its Place in the Social Network? -- Heuristics II -- Population-Based Ant Colony Optimisation for Multi-objective Function Optimisation -- Mechanisms for Evolutionary Reincarnation -- An Evolutionary Algorithm with Spatially Distributed Surrogates for Multiobjective Optimization -- Examining Dissimilarity Scaling in Ant Colony Approaches to Data Clustering -- Complex Systems II -- A Framework for the Co-evolution of Genes, Proteins and a Genetic Code Within an Artificial Chemistry Reaction Set -- In-Formation Flocking: An Approach to Data Visualization Using Multi-agent Formation Behavior -- A Principled Approach to Swarm-Based Wall-Building -- Pattern Extraction Improves Automata-Based Syntax Analysis in Songbirds -- Heuristics III -- A Modified Strategy for the Constriction Factor in Particle Swarm Optimization -- A Differential Evolution Variant of NSGA II for Real World Multiobjective Optimization -- Investigating a Hybrid Metaheuristic for Job Shop Rescheduling -- Enhancements to Extremal Optimisation for Generalised Assignment -- Biological Systems II -- Identification of Marker Genes Discriminating the Pathological Stages in Ovarian Carcinoma by Using Support Vector Machine and Systems Biology -- Ancestral DNA Sequence Reconstruction Using Recursive Genetic Algorithms. 330 $aThis book constitutes the refereed proceedings of the Third Australian Conference on Artificial Life, ACAL 2007, held in Gold Coast, Australia, in December 2007. The 34 revised full papers presented were carefully reviewed and selected from 70 submissions. Research in Alife covers the main areas of biological behaviour as a metaphor for computational models, computational models that reproduce/duplicate a biological behaviour, and computational models to solve biological problems. Thus, Alife features analyses and understanding of life and nature and helps modeling biological systems or solving biological problems. The papers are organized in topical sections on heuristics, complex systems, evolution, biological systems, and networks. 410 0$aLecture Notes in Artificial Intelligence ;$v4828 606 $aBiological systems$xComputer simulation$vCongresses 615 0$aBiological systems$xComputer simulation 676 $a570.113 686 $aDAT 718f$2stub 686 $aSS 4800$2rvk 702 $aRandall$b Marcus 702 $aAbbass$b Hussein A. 702 $aWiles$b Janet 712 12$aAustralian Conference on Artificial Life 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bUtOrBLW 906 $aBOOK 912 $a996465755703316 996 $aProgress in Artificial Life$9773134 997 $aUNISA