InhaltsangabeArtificial life and molecular evolutionary biology.- Artificial life needs a real epistemology.- Grounding and the entailment structure in robots and artificial life.- Mean field theory of the Edge of Chaos.- Escaping from the Cartesian mind-set: Heidegger and artificial life.- Semantic Closure: A guiding notion to ground artificial life.- The inside and outside views of life.- Prebiotic chemistry, artificial life, and complexity theory: What do they tell us about the origin of biological systems?.- Compartimentation in replicator models.- Evolutionary dynamics and optimization.- Population evolution in a single peak fitness landscape how high are the clouds?.- Replicators don't!.- RNA viruses: a bridge between life and artificial life.- Complexity analysis of a self-organizing vs. a template-directed system.- Tile Automaton for evolution of metabolism.- Tracking the red queen: Measurements of adaptive progress in co-evolutionary simulations.- The coevolution of mutation rates.- Coevolution of machines and tapes.- Incremental co-evolution of organisms: A new approach for optimization and discovery of strategies.- Symbiosis and co-evolution in animats.- Artificial endosymbiosis.- Mathematical analysis of evolutionary process.- The evolution of hierarchical representations.- Adaptation and the modular design of organisms.- A theory of differentiation with dynamic clustering.- Cell differentiation and neurogenesis in evolutionary large scale chaos.- Evolving artificial neural networks that develop in time.- Contextual genetic algorithms: Evolving developmental rules.- Can development be designed? What we may learn from the Cog Project.- Emergent organization of interspecies communication in Q-learning artificial organisms.- Self and nonseld revisited: Lessons from modelling the immune network.- On formation of structures.- Learning in the active mode.- Learning subjective "cognitive maps" in the presence of sensory-motor errors.- Specialization under social conditions in shared environments.- Iterated prisoner's dilemma with choice and refusal of partners: Evolutionary results.- Abundance-distributions in artificial life and stochastic models: "age and area" revisited.- Elements of a theory of simulation.- To simulate or not to simulate: A problem of minimising functional logical depth.- Quasi-Uniform Computation-Universal cellular automata.- A new self-reproducing cellular automaton capable of construction and computation.- Self-inspection based reproduction in cellular automata.- Evaluation of learning performance of situated embodied agents.- Seeing in the dark with artificial bats.- Navigating with an adaptive light compass.- Collision avoidance using an egocentric memory of proximity.- A useful autonomous vehicle with a hierarchical behavior control.- Evolving electronic robot controllers that exploit hardware resources.- Classification as sensory-motor coordination.- High-pass filtered positive feedback for decentralized control of cooperation.- Learning and adaptivity: Enhancing reactive behaviour architectures in real-world interaction systems.- Interactivism: A functional model of representation for behavior-based systems.- Noise and the reality gap: The use of simulation in evolutionary robotics.- Essential dynamical structure in learnable autonomous robots.- Optimizing the performance of a robot society in structured environment through Genetic Algorithms.- Spatial games and evolution of cooperation.- Aggressive signaling meets adaptive receiving: Further experiments in synthetic behavioural ecology.- Modelling foraging behaviour of ant colonies.- The computationally complete ant colony: Global coordination in a system with no hierarchy.- Mimicry and coevolution of hedonic agents.- Evolution of symbolic grammar systems.- Driven cellular automata, adaptation and the binding problem.- The functional composition of living machines as a design principle for artificial organisms.- Thermodynamics of RNA folding. When is an R