Growing Adaptive Machines
Combining Development and Learning in Artificial Neural Networks
Page
%P
-
Chapter and Conference Paper
Cooperative Co-evolution and Adaptive Team Composition for a Multi-rover Resource Allocation Problem
In this paper, we are interested in ad hoc autonomous agent team composition using cooperative co-evolutionary algorithms (CCEA). In order to accurately capture the individual contribution of team agents, we p...
-
Chapter and Conference Paper
Automatic Calibration of Artificial Neural Networks for Zebrafish Collective Behaviours Using a Quality Diversity Algorithm
During the last two decades, various models have been proposed for fish collective motion. These models are mainly developed to decipher the biological mechanisms of social interaction between animals. They co...
-
Chapter and Conference Paper
Evolutionary Optimisation of Neural Network Models for Fish Collective Behaviours in Mixed Groups of Robots and Zebrafish
Animal and robot social interactions are interesting both for ethological studies and robotics. On the one hand, the robots can be tools and models to analyse animal collective behaviours, on the other hand th...
-
Chapter and Conference Paper
How to Blend a Robot Within a Group of Zebrafish: Achieving Social Acceptance Through Real-Time Calibration of a Multi-level Behavioural Model
We have previously shown how to socially integrate a fish robot into a group of zebrafish thanks to biomimetic behavioural models. The models have to be calibrated on experimental data to present correct behav...
-
Article
Massively parallel and multiparameter titration of biochemical assays with droplet microfluidics
Titration of the optimal ratios of multicomponent biochemical reactions can be a laborious task. This protocol describes how to explore ∼10,000 combinations of concentrations of one to three reaction component...
-
Chapter and Conference Paper
Automated Calibration of a Biomimetic Space-Dependent Model for Zebrafish and Robot Collective Behaviour in a Structured Environment
Bio-hybrid systems made of robots and animals can be useful tools both for biology and robotics. To socially integrate robots into animal groups the robots should behave in a biomimetic manner with close loop ...
-
Article
ACACIA-ES: an agent-based modeling and simulation tool for investigating social behaviors in resource-limited two-dimensional environments
In this paper, we describe a framework for studying social agents’ individual decision making, that takes account of the environment and social dynamics. We describe a study in which we explored the efficiency...
-
Chapter and Conference Paper
Tutorials at PPSN 2016
PPSN 2016 hosts a total number of 16 tutorials covering a broad range of current research in evolutionary computation. The tutorials range from introductory to advanced and specialized but can all be attended ...
-
Chapter and Conference Paper
Multi-objective Optimization of Multi-level Models for Controlling Animal Collective Behavior with Robots
Group-living animals often exhibit complex collective behaviors that emerge through the non-linear dynamics of social interactions between individuals. Previous studies have shown that it is possible to influe...
-
Chapter
Artificial Evolution of Autonomous Robots and Virtual Creatures
Loosely inspired by natural evolution, evolutionary robotics combines evolutionary computation and agent-based modelling to provide a set of tools for the automated design of robots. Evolutionary robotics have...
-
Article
Evolutionary robotics
-
Book
-
Chapter
Artificial Neurogenesis: An Introduction and Selective Review
In this introduction and review—like in the book which follows—we explore the hypothesis that adaptive growth is a means of producing brain-like machines. The emulation of neural development can incorporate de...
-
Book and Conference Proceedings
-
Chapter and Conference Paper
Embedded Evolutionary Robotics: The (1+1)-Restart-Online Adaptation Algorithm
This paper deals with online onboard behavior optimization for a autonomous mobile robot in the scope of the European FP7 Symbrion Project. The work presented here extends the (1+1)-online algorithm introduced...
-
Chapter and Conference Paper
Evolutionary Robotics: Exploring New Horizons
This paper considers the field of Evolutionary Robotics (ER) from the perspective of its potential users: roboticists. The core hypothesis motivating this field of research is discussed, as well as the potenti...
-
Chapter and Conference Paper
Environment-Driven Embodied Evolution in a Population of Autonomous Agents
This paper is concerned with a fixed-size population of autonomous agents facing unknown, possibly changing, environments. The motivation is to design an embodied evolutionary algorithm that can cope with the ...
-
Chapter and Conference Paper
A Statistical Learning Perspective of Genetic Programming
This paper proposes a theoretical analysis of Genetic Programming (GP) from the perspective of statistical learning theory, a well grounded mathematical toolbox for machine learning. By computing the Vapnik-Ch...
-
Chapter and Conference Paper
A Multi-cellular Developmental System in Continuous Space Using Cell Migration
This paper introduces a novel multi-cellular developmental system where cells are placed in a continuous space. Cells communicate by diffusing and perceiving substances in the environment and are able to migra...
-
Chapter and Conference Paper
Unsupervised Learning of Echo State Networks: A Case Study in Artificial Embryogeny
Echo State Networks (ESN) have demonstrated their efficiency in supervised learning of time series: a ”reservoir” of neurons provide a set of dynamical systems that can be linearly combined to match the target...
