Computational Genetics, Physiology, Metabolism, Neural Systems, Learning, Vision, and Behavior or PolyWorld: Life in a New Context
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Summary
PolyWorld attempts to bring together all the principle components of real living systems into a single artificial (man-made) living system, and may serve as a tool for investigating issues relevant to evolutionary biology, behavioral ecology, ethology, and neurophysiology.
- Type
- article
- Published
- 1997-01-01
- Cited by
- 229
- References
- 46
- OpenAlex
- https://openalex.org/W1481650321
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:14599677
Keywords
Context (archaeology), Cognitive science, Computer science, Biology, Neuroscience
References
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- A Machine that Learns
- The Blind Watchmaker
- The Living Brain
- Towards an Organizing Principle for a Layered Perceptual Network
- A neuronal model of classical conditioning
- A drive-reinforcement model of single neuron function
- Co-evolving parasites improve simulated evolution as an optimization procedure
- Self-organization in a perceptual network
- An Application of the Principle of Maximum Information Preservation to Linear Systems
- Vehicles, Experiments in Synthetic Psychology
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- Biologically-Inspired Computing Approaches To Cognitive Systems: a partial tour of the literature
- Issues of Digital Ecosystems Approach to Biological Ecosystem Simulation Model Fit Optimization
- The road to everywhere : Evolution, complexity and progress in natural and artificial systems
- Stability of Evolving Agent Populations
- A Minimal Spatial Cellular Automata for Hierarchical Predatory Prey Simulation of Food Chains
- EcoDemics, Modelling Epidemic Spread in a Simulated Predator-Prey Evolutionary Ecosystem
- Environment-driven Distributed Evolutionary Adaptation for Collective Robotic Systems. (Evolution Artificielle pour la Robotique Collective en Environnement Ouvert)
- Evolving novel behaviors via natural selection
- Artificial Life, A Model
- Exploring Structural and Dynamical Factors in the Evolution of Artificial Neural Networks
- Simulation Modeling for Watershed Management
- Artificial-Life Ecosystems - What are they and what could they become?
- Coevolutionary computation: an introduction
- An agent-based traffic simulation framework to model intelligent virtual driver behaviour
- Individual-Based Modeling and Data Analysis of Ecological Systems Using Machine Learning Techniques
- Population model based on individual dynamical cells
- Individual-Based Modeling and Nonlinear Analysis for Complex Systems with Application to Theoretical Ecology
- On Computational Ecosystems in Media Arts
- AI in computer games : generating interesting interactive opponents by the use of evolutionary computation
- Evolutionary Design of Neural Architectures -- A Preliminary Taxonomy and Guide to Literature
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