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- Title
Amoeba-Based Emergent Computing: Combinatorial Optimization and Autonomous Meta-Problem Solving.
- Authors
Aono, Masashi; Hara, Masahiko; Aihara, Kazuyuki; Munakata, Toshinori
- Abstract
Here we demonstrate a computing system employing an amoeba of a true slime mold Physarum known as a model organism for studying cellular information processing. The system works as a neurocomputer that exhibits high optimization capability in solving various problems including the traveling salesman problem. Additionally, we present a new technique that we call "autonomous meta-problem solving." In this approach, our system not only can solve a given problem but also can find new problems and then determine solutions by exploiting the amoeba's unique searching ability and spontaneous behavior.
- Subjects
COMPUTER systems; AMOEBA; PHYSARUM; INFORMATION processing; NEURAL computers; PROBLEM solving; ORGANISMS
- Publication
International Journal of Unconventional Computing, 2010, Vol 6, Issue 2, p89
- ISSN
1548-7199
- Publication type
Article