Publication

Genetic Representation of Adaptive Neural Controllers

Publications associées (41)

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search

A Morphogenetic Evolutionary System: Phylogenesis of the POEtic Circuit

Dario Floreano, Claudio Mattiussi, Daniel Roggen

This paper describes a new evolutionary mechanism developed specifically for cellular circuits. Called morphogenetic system, it is inspired by the mechanisms of gene expression and cell differentiation found in living organisms. It will be used as the phyl ...

2003

Application of Data Reconciliation to the Simulation of System Closure Options in a Paper Deinking Process

François Maréchal, Georges Heyen, David Brown

An equation solver data reconciliation software has been used to build a validated model of a waste paper deinking plant, by combining control rooms measurements and design specifications. An optimal sensor system configuration that allows validating key p ...

2003

Coevolutionary fuzzy modeling

Carlos Andres Peña Reyes

This thesis presents Fuzzy CoCo, a novel approach for system design, conducive to explaining human decisions. Based on fuzzy logic and coevolutionary computation, Fuzzy CoCo is a methodology for constructing systems able to accurately predict the outcome o ...

EPFL2002

Evolution of Adaptive Synapses: Robots with Fast Adaptive Behavior in New Environments

Dario Floreano, Joseba Urzelai

This paper is concerned with adaptation capabilities of evolved neural controllers. We propose to evolve mechanisms for parameter self-organization instead of evolving the parameters themselves. The method consists of encoding a set of local adaptation rul ...

2001

Learning and Evolution

Dario Floreano

In the last few years several researchers have resorted to artificial evolution (e.g. genetic algorithms) and learning techniques (e.g. neural networks) for studying the interaction between learning and evolution. These studies have been conducted for two ...

1999

Incremental Evolution with Minimal Resources

Dario Floreano, Joseba Urzelai

This paper describes an evolutionary algorithm based on a statistical representation of populations of individuals. Experiments on robot navigation and on numerical fitness functions are presented in order to measure the performance of the algorithm compar ...

1999

Evolution of Plastic Neurocontrollers for Situated Agents

Dario Floreano, Francesco Mondada

In this paper we investigate a novel approach to the evolutionary development of autonomous situated agents based on the assumption that the neural mechanisms underlying ontogenetic learning are themselves developed and shaped by evolutionary process. A ge ...

MA: MIT Press1996

Evolutionary Algorithms

Evolutionary algorithms have been gaining increased attention the past few years because of their versatility and are being successfully applied in several different fields of study. We group under this heading a family of new computing techniques rooted i ...

Springer-Verlag1996

Evolution of neural control structures: Some experiments on mobile robots

Dario Floreano, Francesco Mondada

From perception to action and form action to perception, all elements of an autonomous agent are interdependent and need to be strongly coherent. The final behavior of the agent is the result of the global activity of this loop and every weakness of incohe ...

1995

Automatic Creation of an Autonomous Agent: Genetic Evolution of a Neural Network Driven Robot

Dario Floreano, Francesco Mondada

The paper describes the results of the evolutionary development of a real, neural-network driven mobile robot. The evolutionary approach to the development of neural controllers for autonomous agents has been successfully used by many researchers, but most ...

MIT Press1994