Probabilistic parallel programming based on multiset transformation
Future Generation Computer Systems
Weakly connected neural networks
Weakly connected neural networks
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
How to solve it: modern heuristics
How to solve it: modern heuristics
Swarm intelligence
A new kind of science
Genetic Programming III: Darwinian Invention & Problem Solving
Genetic Programming III: Darwinian Invention & Problem Solving
Introduction to Multiagent Systems
Introduction to Multiagent Systems
Self-Organization in Biological Systems
Self-Organization in Biological Systems
Proceedings of the Third International Workshop on Ant Algorithms
ANTS '02 Proceedings of the Third International Workshop on Ant Algorithms
Artificial Life Applications of a Class of P Systems: Abstract Rewriting Systems on Multisets
WMP '00 Proceedings of the Workshop on Multiset Processing: Multiset Processing, Mathematical, Computer Science, and Molecular Computing Points of View
Biologically-Inspired Intelligent Robots
Biologically-Inspired Intelligent Robots
Cellular Automata: A Discrete Universe
Cellular Automata: A Discrete Universe
Multi-agent development toolkits: an evaluation
IEA/AIE'2004 Proceedings of the 17th international conference on Innovations in applied artificial intelligence
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A multiset of agents can mimic the evolution of the nature-inspired computations, e.g., genetic, self-organized criticality and active walker (swarm and ant intelligence) models. Since the reaction rules are inherently parallel, any number of actions can be performed cooperatively or competitively among the subsets of the agents, so that the system evolve reaches an equilibrium, a chaotic or a self-organized emergent state. Examples of natural evolution , including wasp nest construction through a probabilistic shape-grammar are provided.