Aznar Gregori, Fidel, Pujol, Mar, Rizo, Ramón, Suau Pérez, Pablo
A new artificial life formalization model: a worm with a Bayesian brain
AZNAR GREGORI, Fidel, et al. “A new artificial life formalization model: a worm with a Bayesian brain”. Lecture notes in computer science. 2004, vol. 3303/2004. ISSN 0302-9743, pp. 124-138
URI: http://hdl.handle.net/10045/661
DOI: 10.1007/b103729
ISSN: 0302-9743
Abstract: 
This paper shows an application of Bayesian Programming to model a simple artificial life problem: that of a worm trying to live in a world full of poison. Any model of a real phenomenon is incomplete because there will always exist unknown, hidden variables that influence the phenomenon. To solve this problem we apply a new formalism, Bayesian programming, which has previously been used in autonomous robot programming.  The proposed worm model has been used to train a population of worms using genetic algorithms. We will see the advantages of our method compared with a classical approach. Finally, we discuss the emergent behaviour patterns we observed in some of the worms and conclude by explaining the advantages of the applied method.
Keywords:Bayesian programming, Artificial life, Life formalization model
Springer
info:eu-repo/semantics/article