Add to ORKGWe use genetic algorithms to evolve behavioral properties of simulated autonomous vehicles. The traits of the robots that are being evolved include parameters and internal control mechanisms that drive the following-, approach- or avoidance behavior. A parallel steady state genetic algorithm is used to simulate natural evolution. We argue why we need evolutionary techniques to create adaptive behavior in dynamic environments
Evolutionary robotics is concerned with the design of intelligent systems with life-like properties ...
This paper introduces a novel robot parallel evolution design algorithm , leveraging the concept of...
Abstract. We investigate how it is possible to shape robot behaviour adopting a molecular or molar p...
This book presented techniques and experimental results which have been pursued for the purpose of e...
This paper is concerned with adaptation capabilities of evolved neural controllers. We propose to ev...
The automated generation of controllers for real-world autonomous agents by means of evolutionary me...
The automated generation of controllers for real-world autonomous agents by means of evolutionary me...
This thesis investigates the use of Genetic Programming (GP) to evolve controllers for an autonomous...
. In the last few years we have used ALECSYS, a parallel learning classifier system based on the gen...
This paper is concerned with adaptation capabilities of evolved neural controllers. A method consist...
Abstract We have been investigating evolutionary methods to design behavioral strategies for intelli...
ii.34., humans have been intrigued by the origin and mechanisms underlying complexity in nature. Dar...
In this thesis, the evolution of adaptive behaviour in artificial agents is studied. More specifical...
This thesis applies genetic algorithms to computationally design control strategies for a simulated ...
A behavior-based approach has been effectively applied for the design of robot control systems, and ...
Evolutionary robotics is concerned with the design of intelligent systems with life-like properties ...
This paper introduces a novel robot parallel evolution design algorithm , leveraging the concept of...
Abstract. We investigate how it is possible to shape robot behaviour adopting a molecular or molar p...
This book presented techniques and experimental results which have been pursued for the purpose of e...
This paper is concerned with adaptation capabilities of evolved neural controllers. We propose to ev...
The automated generation of controllers for real-world autonomous agents by means of evolutionary me...
The automated generation of controllers for real-world autonomous agents by means of evolutionary me...
This thesis investigates the use of Genetic Programming (GP) to evolve controllers for an autonomous...
. In the last few years we have used ALECSYS, a parallel learning classifier system based on the gen...
This paper is concerned with adaptation capabilities of evolved neural controllers. A method consist...
Abstract We have been investigating evolutionary methods to design behavioral strategies for intelli...
ii.34., humans have been intrigued by the origin and mechanisms underlying complexity in nature. Dar...
In this thesis, the evolution of adaptive behaviour in artificial agents is studied. More specifical...
This thesis applies genetic algorithms to computationally design control strategies for a simulated ...
A behavior-based approach has been effectively applied for the design of robot control systems, and ...
Evolutionary robotics is concerned with the design of intelligent systems with life-like properties ...
This paper introduces a novel robot parallel evolution design algorithm , leveraging the concept of...
Abstract. We investigate how it is possible to shape robot behaviour adopting a molecular or molar p...