A new artificial life formalization model: a worm with a Bayesian brain

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Title: A new artificial life formalization model: a worm with a Bayesian brain
Authors: Aznar Gregori, Fidel | Pujol, Mar | Rizo, Ramón | Suau Pérez, Pablo
Research Group/s: Informática Industrial e Inteligencia Artificial
Center, Department or Service: Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial
Keywords: Bayesian programming | Artificial life | Life formalization model
Knowledge Area: Ciencia de la Computación e Inteligencia Artificial
Issue Date: 2004
Publisher: Springer
Citation: 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
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.
Sponsor: This work has been financed by Spanish Comisión Interministerial de Ciencia y Tecnología (CICYT) project number TIC2001-0245-C02-02 and by the Generalitat Valenciana project GV04B685
URI: http://hdl.handle.net/10045/661
ISSN: 0302-9743
DOI: 10.1007/b103729
Language: eng
Type: info:eu-repo/semantics/article
Rights: The original publication is available at www.springerlink.com
Peer Review: si
Publisher version: http://dx.doi.org/10.1007/b103729
Appears in Collections:INV - i3a - Artículos de Revistas
INV - MVRLab - Artículos de Revistas

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