Growing Adaptive Machines
Combining Development and Learning in Artificial Neural Networks
Chapter and Conference Paper
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
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
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
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...
Chapter and Conference Paper
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 ...
Chapter and Conference Paper
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
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...
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Book
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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
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
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
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
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
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
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...
Chapter and Conference Paper
Simbad is an open source Java 3d robot simulator for scientific and educational purposes. It is mainly dedicated to researchers and programmers who want a simple basis for studying Situated Artificial Intellig...
Chapter and Conference Paper
This paper introduces a new representation for assemblies of small Lego®-like elements: structures are indirectly encoded as construction plans. This representation shows some interesting properties such as hiera...
Chapter and Conference Paper
Factorial Hierarchical Hidden Markov Models (FHHMM) provides a powerful way to endow an autonomous mobile robot with efficient map-building and map-navigation behaviors. However, the inference mechanism in FHH...