Laurent Keller

Cette personne n’est plus à l’EPFL

Publications associées (35)

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Relatedness influences signal reliability in evolving robots

Dario Floreano, Laurent Keller, Sara Mitri

Communication is an indispensable component of animal societies, yet many open questions remain regarding the factors affecting the evolution and reliability of signalling systems. A potentially important factor is the level of genetic relatedness between ...

2011

A Quantitative Test of Hamilton's Rule for the Evolution of Altruism

Dario Floreano, Laurent Keller, Markus Waibel

The evolution of altruism is a fundamental and enduring puzzle in biology. In a seminal paper Hamilton showed that altruism can be selected for when rb − c>0, where c is the fitness cost to the altruist, b is the fitness benefit to the beneficiary, and r i ...

Public Library of Science2011

Task-dependent influence of genetic architecture and mating frequency on division of labour in social insect societies

Dario Floreano, Laurent Keller

Division of labour is one of the most prominent features of social insects. The efficient allocation of individuals to different tasks requires dynamic adjustment in response to environmental perturbations. Theoretical models suggest that the colony-level ...

Springer Verlag2010

Evolving Cooperation: From Biology to Engineering

Dario Floreano, Laurent Keller, Sara Mitri, Sabine Hauert

MIT Press2010

2010

Cooperation applies the situations where two or more individuals obtain a net benefit by working together. Cooperation is widely spread in nature and takes several forms, ranging from behavioral coordination to sacrifice of one’s own life for the benefit o ...

Springer2009

The Evolution of Information Suppression in Communicating Robots with Conflicting Interests

Dario Floreano, Laurent Keller, Sara Mitri

Reliable information is a crucial factor influencing decision-making, and thus fitness in all animals. A common source of information comes from inadvertent cues produced by the behavior of conspecifics. Here we use a system of experimental evolution with ...

2009

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In cooperative multiagent systems, agents interact to solve tasks. Global dynamics of multiagent teams result from local agent interactions, and are complex and difficult to predict. Evolutionary computation has proven a promising approach to the design of ...

2009