Add to ORKGThe evolution of general intelligent behavior continues to be an important goal of genetic programming research. This paper advocates the development of more appropriate problem definitions and models, using the classic artificial ant problem as an example. Our research demonstrates that generalized trail-following behavior can be achieved in the artificial ant through the evolution of a reactive control system
Robot-control designers have begun to exploit the properties of the human immune system in order to ...
The design and development of behavioral strategies to coordinate the actions of multiple agents is ...
Ant algorithms are well-known metaheuristics which have been widely used since two decades. In most ...
: The recently developed genetic programming paradigm provides a way to genetically breed a computer...
Ants communicate information by leaving pheromone tracks. A moving ant leaves, in varying quantities...
Behavior Trees are a method for AI programming that consists of a tree of hierarchical nodes control...
Abstract: – Natural multi-agent systems like ant colonies prove that decentralized systems based on...
Abstract — Ants present a very good natural metaphor to evolutionary computation. While each indivi...
Recently, many methods of evolutionary computation such as Genetic Algorithm (GA) and Genetic Progra...
Ants are fascinating creatures - not so much because they are intelligent on their own, but because ...
The general framework tackled in this paper is the automatic generation of intelligent collective be...
warm intelligence is a relative-ly new approach to problem solving that takes inspiration from the s...
The predator/prey domain is utilized to conduct research in Distributed Artificial Intelligence. Gen...
The general framework tackled in this paper is the automatic generation of intelligent collective be...
Motivated by difficulties in engineering adaptive distributed systems, we consider a method to evolv...
Robot-control designers have begun to exploit the properties of the human immune system in order to ...
The design and development of behavioral strategies to coordinate the actions of multiple agents is ...
Ant algorithms are well-known metaheuristics which have been widely used since two decades. In most ...
: The recently developed genetic programming paradigm provides a way to genetically breed a computer...
Ants communicate information by leaving pheromone tracks. A moving ant leaves, in varying quantities...
Behavior Trees are a method for AI programming that consists of a tree of hierarchical nodes control...
Abstract: – Natural multi-agent systems like ant colonies prove that decentralized systems based on...
Abstract — Ants present a very good natural metaphor to evolutionary computation. While each indivi...
Recently, many methods of evolutionary computation such as Genetic Algorithm (GA) and Genetic Progra...
Ants are fascinating creatures - not so much because they are intelligent on their own, but because ...
The general framework tackled in this paper is the automatic generation of intelligent collective be...
warm intelligence is a relative-ly new approach to problem solving that takes inspiration from the s...
The predator/prey domain is utilized to conduct research in Distributed Artificial Intelligence. Gen...
The general framework tackled in this paper is the automatic generation of intelligent collective be...
Motivated by difficulties in engineering adaptive distributed systems, we consider a method to evolv...
Robot-control designers have begun to exploit the properties of the human immune system in order to ...
The design and development of behavioral strategies to coordinate the actions of multiple agents is ...
Ant algorithms are well-known metaheuristics which have been widely used since two decades. In most ...