Add to ORKGSome techniques for achieving swarm intelligent robots through the use of traits of personality are discussed. Traits of personality are characteristics of each robot that, altogether, define the robots behaviours. We discuss the use of evolutionary psychology in order 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 in conjunction with the use of external payoffs. A simulation showing its usage is reported
Evolutionary algorithms can be applied to evolve controllers for single robots and similarly for gro...
Evolutionary game theory describes systems where individual success is based on the interaction with...
Evolutionary swarm robotics uses evolutionary computational techniques to synthesise behaviours for ...
In this paper, we discuss some techniques for achieving swarm intelligent robots through the use of ...
In this article, we discuss some techniques for achieving swarm intelligent robots through the use o...
Game theory may be very useful in modeling and analyzing swarms of robots. Using game theory in conj...
The general framework tackled in this paper is the automatic generation of intelligent collective be...
Abstract–Evolutionary Robotics (ER) employs population-based artificial evolution to develop behavio...
This paper reports on the current state of our efforts to synthesize emotion in robots from a select...
. In the last few years we have used ALECSYS, a parallel learning classifier system based on the gen...
Abstract. We investigate how it is possible to shape robot behaviour adopting a molecular or molar p...
Variations of individual’s personality traits have been identified before as one of the possible mec...
Evolutionary robotics is a technique that aims to create controllers and sometimes morphologies for ...
This research concerns the comparison of three different artificial evolution approaches for the des...
This paper defends the use of evolutionary algorithms to generate (and evolve) strategies that manag...
Evolutionary algorithms can be applied to evolve controllers for single robots and similarly for gro...
Evolutionary game theory describes systems where individual success is based on the interaction with...
Evolutionary swarm robotics uses evolutionary computational techniques to synthesise behaviours for ...
In this paper, we discuss some techniques for achieving swarm intelligent robots through the use of ...
In this article, we discuss some techniques for achieving swarm intelligent robots through the use o...
Game theory may be very useful in modeling and analyzing swarms of robots. Using game theory in conj...
The general framework tackled in this paper is the automatic generation of intelligent collective be...
Abstract–Evolutionary Robotics (ER) employs population-based artificial evolution to develop behavio...
This paper reports on the current state of our efforts to synthesize emotion in robots from a select...
. In the last few years we have used ALECSYS, a parallel learning classifier system based on the gen...
Abstract. We investigate how it is possible to shape robot behaviour adopting a molecular or molar p...
Variations of individual’s personality traits have been identified before as one of the possible mec...
Evolutionary robotics is a technique that aims to create controllers and sometimes morphologies for ...
This research concerns the comparison of three different artificial evolution approaches for the des...
This paper defends the use of evolutionary algorithms to generate (and evolve) strategies that manag...
Evolutionary algorithms can be applied to evolve controllers for single robots and similarly for gro...
Evolutionary game theory describes systems where individual success is based on the interaction with...
Evolutionary swarm robotics uses evolutionary computational techniques to synthesise behaviours for ...