Jean-Philippe Rennard

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This text introduces the twin deadlocks of strong artificial life. Conceptualization of life is a deadlock both because of the existence of a continuum between the inert and the living, and because we only know one instance of life. Computationalism is a second deadlock since it remains a matter of faith. Nevertheless, artificial life realizations quickly(More)
Introduction to Genetic Algorithms. Physics, Biology, Economy or Sociology often have to deal with the classical problem of optimization. Economy particularly has become specialist of that field1. Generally speaking, a large part of mathematical development during the XVIIIth century dealt with that topic (remember those always repeated problems where you(More)
When looking for a solution, deterministic methods have the enormous advantage that they do find global optima. Unfortunately, they are very CPU intensive, and are useless on untractable NP-hard problems that would require thousands of years for cutting-edge computers to explore. In order to get a result, one needs to revert to stochastic algorithms that(More)
The history of CA dates back to the forties with Stanislas Ulam. This mathematician was interested in the evolution of graphic constructions generated by simple rules. The base of his construction was a two-dimensional space divided into "cells", a sort of grid. Each of these cells could have two states : ON or OFF. Starting from a given pattern, the(More)
367 need to learn to work as part of a team and how to manage other scientists and nonscientists. These are skills not learned at the bench, where teamwork is not the norm and there is no interaction with nonscientists. From the industry’s standpoint, companies are more and more reluctant to hire new PhDs whom they view as lacking relevant education and(More)
The “sciences of the artificial” deal with synthesized things which may imitate natural things, which have functions and goals and which are usually discussed in terms of imperatives as well as descriptives. Imitation with computer is now usually termed simulation and is used to understand the imitated system (Simon, 1996). Artificiality has invaded science(More)
B is a science-driven industry that requires business leaders with technical training. Success in the biotech sector hinges only partially on scientific and technical skills. In addition to the aforementioned skills, business knowledge, management of people and resources as well as teamwork are equally essential for a positive outcome, yet the latter are(More)