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• The History and Future of Stiquito, a Hexapod Insectoid Robot.- Learning Legged Locomotion.- Salamandra Robotica: a Biologically Inspired Amphibious Robot that Swims and Walks.- Multi-Locomotion Robot: Novel Concept, Mechanism and Control of Bio-Inspired Robot.- Self-Regulatory Hardware: Evolutionary Design for Mechanical Passivity on a Pseudo Passive Dynamic Walker.- Perception for Action in Roving Robots: a Dynamical System Approach.- Nature-Inspired Single-Electron Computers.- Tribolon: Water Based Self-Assembly Robots.- Artificial Symbiosis in Ecobots.- The Phi-Bot: A Robot Controlled by a Slime Mould.- Reaction-Diffusion Controllers for Robots.- Index.
• (source: Nielsen Book Data)

Hopping, climbing and swimming robots, nano-size neural networks, motorless walkers, slime mould and chemical brains - "Artificial Life Models in Hardware" offers unique designs and prototypes of life-like creatures in conventional hardware and hybrid bio-silicon systems. Ideas and implementations of living phenomena in non-living substrates cast a colorful picture of state-of-art advances in hardware models of artificial life.
(source: Nielsen Book Data)

• From the contents Part I Virtual Environments
• Avida: A Software Platform for Research in Computational Evolutionary Biology
• Foundations of and Recent Advances in Artificial Life Modeling with Repast 3 and Repast Simphony
• Sodarace: Continuing Adventures in Artificial Life
• 3D Multi-Agent Simulations in the Breve Simulation Environment
• Framsticks: Creating and Understanding Complexity of Life
• Part II Lattice Worlds
• Starlogo TNG: Making Agent Based Modeling Accessible and Appealing for Novices
• From Artificial Life to In Silico Medicine: Netlogo as a Means of Translational Knowledge Representation in Biomedical Research
• Discrete Dynamics Lab: Tools for Investigating Cellular Automata and Discrete Dynamical Networks
• Einstein: A Multiagent-based Model of Combat
• Part III Artificial Chemistries
• From Artificial Chemistries to Systems Biology: Software for Chemical Organization Theory
• Spatially Resolved Artificial Chemistry
• Part IV Artificial Life Arts.

Artificial Life Models in Software provides an introduction and guide to modern software tools for modeling and simulating life-like phenomena, written by those who personally design and develop software, hardware, and art installations in artificial life, simulated complex systems and virtual worlds. This timely volume offers a nearly exhaustive overview and original analysis of major non-profit software packages that are actively developed and supported by experts in artificial life and software design. The carefully selected topics include: simulation and evolution of real and artificial life forms, natural and artificial morphogenesis, self-organization, models of communication and social behaviors, emergent collective behaviors and swarm intelligence, agent-based simulations, autonomous and evolutionary robotics, adaptive, complex and biologically inspired ecosystems, artificial chemistries, creative computer art. The models of life presented here are essential components in undergraduate and post-graduate courses in complex adaptive systems, multi-agent systems, collective robotics and nature-inspired computing. Readers interested in artificial life, evolutionary biology, simulation, cybernetics, computer graphics and animation, neuroscience, cognitive science, and philosophy will find this monograph a valuable guide and an excellent resource for supplementary reading.

• Heuristics 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.
• (source: Nielsen Book Data)

This 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.
(source: Nielsen Book Data)