EVOLUTION ENGINES AND ARTIFICIAL INTELLIGENCE

Andreas Hemker and Karl-Heinz Becks
Additional contact information
Andreas Hemker: Physics Department, University of Wuppertal 42097 Wuppertal, Gauss-Str. 20, Germany
Karl-Heinz Becks: Physics Department, University of Wuppertal 42097 Wuppertal, Gauss-Str. 20, Germany

International Journal of Modern Physics C (IJMPC), 1994, vol. 05, issue 01, 15-36

Abstract: In the last years artificial intelligence has achieved great successes, mainly in the field of expert systems and neural networks. Nevertheless the road to truly intelligent systems is still obscured. Artificial intelligence systems with a broad range of cognitive abilities are not within sight. The limited competence of such systems (brittleness) is identified as a consequence of the top-down design process. The evolution principle of nature on the other hand shows an alternative and elegant way to build intelligent systems. We propose to take an evolution engine as the driving force for the bottom-up development of knowledge bases and for the optimization of the problem-solving process. A novel data analysis system for the high energy physics experiment DELPHI at CERN shows the practical relevance of this idea. The system is able to reconstruct the physical processes after the collision of particles by making use of the underlying standard model of elementary particle physics. The evolution engine acts as a global controller of a population of inference engines working on the reconstruction task. By implementing the system on the Connection Machine (Model CM-2) we use the full advantage of the inherent parallelization potential of the evolutionary approach.

Keywords: Artificial Intelligence; Evolutionary Algorithms; Evolution Engine; Inference Engine; Model-Based Event Reconstruction (search for similar items in EconPapers)
Date: 1994
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0129183194000039
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijmpcx:v:05:y:1994:i:01:n:s0129183194000039

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0129183194000039

Access Statistics for this article

International Journal of Modern Physics C (IJMPC) is currently edited by H. J. Herrmann

More articles in International Journal of Modern Physics C (IJMPC) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().