In this article, we discuss some techniques for achieving swarm intelligent robots through the use of traits of personality. Traits of personality are characteristics of each robot that, altogether, define the robot's behaviours. We discuss the use of evolutionary psychology to select a set of traits of personality that will evolve due to a learning process based on reinforcement learning. The use of Game Theory is introduced, and some simulations showing its potential are reported
Swarm robotics has both an engineering as well as a scientific nature. On the one hand, it studies h...
In this paper we propose GESwarm, a novel tool that can automatically synthesize collective behavior...
Abstract—We investigate a novel adaptive system based on evolution, individual learning, and social ...
In this paper, we discuss some techniques for achieving swarm intelligent robots through the use of ...
Some techniques for achieving swarm intelligent robots through the use of traits of personality are ...
Game theory may be very useful in modeling and analyzing swarms of robots. Using game theory in conj...
International audienceThis paper addresses the problem of learning cooperative strategies in swarm r...
Variations of individual’s personality traits have been identified before as one of the possible mec...
Abstract–Evolutionary Robotics (ER) employs population-based artificial evolution to develop behavio...
Abstract: This work gives an overview of the broad fiel of computational swarm intelligence and its ...
This paper defends the use of evolutionary algorithms to generate (and evolve) strategies that manag...
Applications of large-scale mobile multi-robot systems can be beneficial over monolithic robots beca...
The general framework tackled in this paper is the automatic generation of intelligent collective be...
Current exploration of adaptation in robot swarms requires the swarm or individuals within that swar...
Abstract: Robotic Soccer is a multi-agent test bed, which requires the designer to address most of t...
Swarm robotics has both an engineering as well as a scientific nature. On the one hand, it studies h...
In this paper we propose GESwarm, a novel tool that can automatically synthesize collective behavior...
Abstract—We investigate a novel adaptive system based on evolution, individual learning, and social ...
In this paper, we discuss some techniques for achieving swarm intelligent robots through the use of ...
Some techniques for achieving swarm intelligent robots through the use of traits of personality are ...
Game theory may be very useful in modeling and analyzing swarms of robots. Using game theory in conj...
International audienceThis paper addresses the problem of learning cooperative strategies in swarm r...
Variations of individual’s personality traits have been identified before as one of the possible mec...
Abstract–Evolutionary Robotics (ER) employs population-based artificial evolution to develop behavio...
Abstract: This work gives an overview of the broad fiel of computational swarm intelligence and its ...
This paper defends the use of evolutionary algorithms to generate (and evolve) strategies that manag...
Applications of large-scale mobile multi-robot systems can be beneficial over monolithic robots beca...
The general framework tackled in this paper is the automatic generation of intelligent collective be...
Current exploration of adaptation in robot swarms requires the swarm or individuals within that swar...
Abstract: Robotic Soccer is a multi-agent test bed, which requires the designer to address most of t...
Swarm robotics has both an engineering as well as a scientific nature. On the one hand, it studies h...
In this paper we propose GESwarm, a novel tool that can automatically synthesize collective behavior...
Abstract—We investigate a novel adaptive system based on evolution, individual learning, and social ...