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Advances in Artificial Life

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Cover of 'Advances in Artificial Life'

Table of Contents

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    Book Overview
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    Chapter 285 Artificial life and molecular evolutionary biology
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    Chapter 286 Artificial life needs a real epistemology
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    Chapter 287 Grounding and the entailment structure in robots and artificial life
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    Chapter 288 Mean field theory of the Edge of Chaos
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    Chapter 289 Escaping from the Cartesian mind-set: Heidegger and artificial life
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    Chapter 290 Semantic Closure: A guiding notion to ground artificial life
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    Chapter 291 The inside and outside views of life
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    Chapter 292 Prebiotic chemistry, artificial life, and complexity theory: What do they tell us about the origin of biological systems?
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    Chapter 293 Compartimentation in replicator models
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    Chapter 294 Evolutionary dynamics and optimization
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    Chapter 295 Population evolution in a single peak fitness landscape how high are the clouds?
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    Chapter 296 Replicators don't!
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    Chapter 297 RNA viruses: a bridge between life and artificial life
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    Chapter 298 Complexity analysis of a self-organizing vs. a template-directed system
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    Chapter 299 Tile Automaton for evolution of metabolism
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    Chapter 300 Tracking the red queen: Measurements of adaptive progress in co-evolutionary simulations
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    Chapter 301 The coevolution of mutation rates
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    Chapter 302 Coevolution of machines and tapes
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    Chapter 303 Incremental co-evolution of organisms: A new approach for optimization and discovery of strategies
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    Chapter 304 Symbiosis and co-evolution in animats
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    Chapter 305 Artificial endosymbiosis
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    Chapter 306 Mathematical analysis of evolutionary process
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    Chapter 307 The evolution of hierarchical representations
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    Chapter 308 Adaptation and the modular design of organisms
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    Chapter 309 A theory of differentiation with dynamic clustering
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    Chapter 310 Cell differentiation and neurogenesis in evolutionary large scale chaos
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    Chapter 311 Evolving artificial neural networks that develop in time
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    Chapter 312 Contextual genetic algorithms: Evolving developmental rules
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    Chapter 313 Can development be designed? What we may learn from the Cog Project
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    Chapter 314 Emergent organization of interspecies communication in Q-learning artificial organisms
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    Chapter 315 Self and nonseld revisited: Lessons from modelling the immune network
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    Chapter 316 On formation of structures
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    Chapter 317 Learning in the active mode
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    Chapter 318 Learning subjective “cognitive maps” in the presence of sensory-motor errors
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    Chapter 319 Specialization under social conditions in shared environments
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    Chapter 320 Iterated prisoner's dilemma with choice and refusal of partners: Evolutionary results
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    Chapter 321 Abundance-distributions in artificial life and stochastic models: “age and area” revisited
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    Chapter 322 Elements of a theory of simulation
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    Chapter 323 To simulate or not to simulate: A problem of minimising functional logical depth
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    Chapter 324 Quasi-Uniform Computation-Universal cellular automata
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    Chapter 325 A new self-reproducing cellular automaton capable of construction and computation
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    Chapter 326 Self-inspection based reproduction in cellular automata
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    Chapter 327 Evaluation of learning performance of situated embodied agents
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    Chapter 328 Seeing in the dark with artificial bats
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    Chapter 329 Navigating with an adaptive light compass
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    Chapter 330 Collision avoidance using an egocentric memory of proximity
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    Chapter 331 A useful autonomous vehicle with a hierarchical behavior control
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    Chapter 332 Evolving electronic robot controllers that exploit hardware resources
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    Chapter 333 Classification as sensory-motor coordination
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    Chapter 334 High-pass filtered positive feedback for decentralized control of cooperation
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    Chapter 335 Learning and adaptivity: Enhancing reactive behaviour architectures in real-world interaction systems
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    Chapter 336 Interactivism: A functional model of representation for behavior-based systems
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    Chapter 337 Noise and the reality gap: The use of simulation in evolutionary robotics
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    Chapter 338 Essential dynamical structure in learnable autonomous robots
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    Chapter 339 Optimizing the performance of a robot society in structured environment through Genetic Algorithms
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    Chapter 340 Spatial games and evolution of cooperation
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    Chapter 341 Aggressive signaling meets adaptive receiving: Further experiments in synthetic behavioural ecology
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    Chapter 342 Modelling foraging behaviour of ant colonies
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    Chapter 343 The computationally complete ant colony: Global coordination in a system with no hierarchy
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    Chapter 344 Mimicry and coevolution of hedonic agents
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    Chapter 345 Evolution of symbolic grammar systems
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    Chapter 346 Driven cellular automata, adaptation and the binding problem
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    Chapter 347 The functional composition of living machines as a design principle for artificial organisms
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    Chapter 348 Thermodynamics of RNA folding. When is an RNA molecule in equilibrium?
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    Chapter 349 An artificial life model for predicting the tertiary structure of unknown proteins that emulates the folding process
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    Chapter 350 Energy cost evaluation of computing capabilities in biomolecular and artificial matter
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    Chapter 351 Contemporary evolution strategies
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    Chapter 352 The usefulness of recombination
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    Chapter 353 The investigation of Lamarckian Inheritance with Classifier Systems in a massively parallel simulation environment
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    Chapter 354 Orgy in the computer: Multi-parent reproduction in genetic algorithms
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    Chapter 355 A simplification of the theory of neural groups selection for adaptive control
Overall attention for this book and its chapters
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Title
Advances in Artificial Life
Published by
Springer Berlin Heidelberg, January 2006
DOI 10.1007/3-540-59496-5
ISBNs
978-3-54-059496-3, 978-3-54-049286-3
Editors

Morán, Federico, Moreno, Alvaro, Merelo, Juan Julián, Chacón, Pablo

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The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 33%
Professor > Associate Professor 1 17%
Other 1 17%
Lecturer > Senior Lecturer 1 17%
Unknown 1 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 50%
Computer Science 1 17%
Unknown 2 33%