Artificial Life
23 papers with code • 0 benchmarks • 0 datasets
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Capturing Emerging Complexity in Lenia
The platform is important as a tool for studying artificial life and evolution, as it provides a scalable and flexible environment for creating a diverse range of organisms with varying abilities and behaviors.
Coevolution of Camouflage
Camouflage in nature seems to arise from competition between predator and prey.
Flow-Lenia: Towards open-ended evolution in cellular automata through mass conservation and parameter localization
Finally, we show that Flow Lenia enables the integration of the parameters of the CA update rules within the CA dynamics, making them dynamic and localized, allowing for multi-species simulations, with locally coherent update rules that define properties of the emerging creatures, and that can be mixed with neighbouring rules.
Melting Pot 2.0
Melting Pot is a research tool developed to facilitate work on multi-agent artificial intelligence, and provides an evaluation protocol that measures generalization to novel social partners in a set of canonical test scenarios.
Scaling up the self-optimization model by means of on-the-fly computation of weights
The Self-Optimization (SO) model is a useful computational model for investigating self-organization in "soft" Artificial life (ALife) as it has been shown to be general enough to model various complex adaptive systems.
Shape Change and Control of Pressure-based Soft Agents
Biological agents possess bodies that are mostly of soft tissues.
Plasticity and evolvability under environmental variability: the joint role of fitness-based selection and niche-limited competition
In this work, we study the interplay between environmental dynamics and adaptation in a minimal model of the evolution of plasticity and evolvability.
Evolutionary Generation of Visual Motion Illusions
LanaSina/evolutionary_illusion_generator
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Why do we sometimes perceive static images as if they were moving?
Ousiometrics and Telegnomics: The essence of meaning conforms to a two-dimensional powerful-weak and dangerous-safe framework with diverse corpora presenting a safety bias
We define `ousiometrics' to be the study of essential meaning in whatever context that meaningful signals are communicated, and `telegnomics' as the study of remotely sensed knowledge.
Matchmaker, Matchmaker, Make Me a Match: Geometric, Variational, and Evolutionary Implications of Criteria for Tag Affinity
Genetic programming and artificial life systems commonly employ tag-matching schemes to determine interactions between model components.
