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
A simple evolutionary process can discover sophisticated methods for emergent information-processing...
This chapter presents an introduction of evolutionary and other nature-inspired computation. The mos...
An interacting multi-agent system in a network can model the evolution of a Nature-Inspired Smart Sy...
A multiset of agents can mimic the evolution of the nature-inspired computations, e.g., genetic, sel...
A multiagent-based programming paradigm (MAP) is described for the evolution of the bio-inspired com...
This paper examines the nature inspired machine intelligence methods of swarm intelligence and evolu...
The central goal of this thesis is to provide additional criteria towards implementing open-ended ev...
International audienceThe study of evolving artificial organisms to build hardware or software compl...
This paper describes a rule-based multiset programming paradigm, as a unifying theme for biological,...
This paper describes a multiagent-based simulation paradigm, for hybrid (soft and hard) simulation o...
Abstract: – Natural multi-agent systems like ant colonies prove that decentralized systems based on...
Motivated by difficulties in engineering adaptive distributed systems, we consider a method to evolv...
Tese de doutoramento em Ciências (Engenharia Informática), apresentada à Faculdade de Ciências e Tec...
An approach to action selection in autonomous agents is presented. This approach is motivated by bio...
The computational potential of articial living systems can be studied without knowing the algorithm...
A simple evolutionary process can discover sophisticated methods for emergent information-processing...
This chapter presents an introduction of evolutionary and other nature-inspired computation. The mos...
An interacting multi-agent system in a network can model the evolution of a Nature-Inspired Smart Sy...
A multiset of agents can mimic the evolution of the nature-inspired computations, e.g., genetic, sel...
A multiagent-based programming paradigm (MAP) is described for the evolution of the bio-inspired com...
This paper examines the nature inspired machine intelligence methods of swarm intelligence and evolu...
The central goal of this thesis is to provide additional criteria towards implementing open-ended ev...
International audienceThe study of evolving artificial organisms to build hardware or software compl...
This paper describes a rule-based multiset programming paradigm, as a unifying theme for biological,...
This paper describes a multiagent-based simulation paradigm, for hybrid (soft and hard) simulation o...
Abstract: – Natural multi-agent systems like ant colonies prove that decentralized systems based on...
Motivated by difficulties in engineering adaptive distributed systems, we consider a method to evolv...
Tese de doutoramento em Ciências (Engenharia Informática), apresentada à Faculdade de Ciências e Tec...
An approach to action selection in autonomous agents is presented. This approach is motivated by bio...
The computational potential of articial living systems can be studied without knowing the algorithm...
A simple evolutionary process can discover sophisticated methods for emergent information-processing...
This chapter presents an introduction of evolutionary and other nature-inspired computation. The mos...
An interacting multi-agent system in a network can model the evolution of a Nature-Inspired Smart Sy...