title: Beyond input-output computings: error-driven emergence with parallel non-distributed slime mold computer.
abstract: The emergence derived from errors is the key importance for both novel computing and novel usage of the computer. In this paper, we propose an implementable experimental plan for the biological computing so as to elicit the emergent property of complex systems. An individual plasmodium of the true slime mold Physarum polycephalum acts in the slime mold computer. Modifying the Elementary Cellular Automaton as it entails the global synchronization problem upon the parallel computing provides the NP-complete problem solved by the slime mold computer. The possibility to solve the problem by giving neither all possible results nor explicit prescription of solution-seeking is discussed. In slime mold computing, the distributivity in the local computing logic can change dynamically, and its parallel non-distributed computing cannot be reduced into the spatial addition of multiple serial computings. The computing system based on exhaustive absence of the super-system may produce, something more than filling the vacancy.
authors.affiliation: Department of Information Media Sciences, Graduate School of Science and Technology, Kobe University, Nada, Kobe 657-8501, Japan. 993d802n@y01.kobe-u.ac.jp
authors.forename: Masashi
authors.initials: M
authors.lastname: Aono
authors.forename: Yukio-Pegio
authors.initials: YP
authors.lastname: Gunji
mesh_terms: D000818:Animals; D001185:Artificial Intelligence; D001701:Bionics / Q000379:methods*; D002449:Cell Aggregation / Q000502:physiology / Q000528:radiation effects; D002465:Cell Movement / Q000502:physiology* / Q000528:radiation effects; D003198:Computer Simulation; D039301:Computers, Molecular; D003205:Computing Methodologies; D003491:Cybernetics / Q000379:methods*; D005246:Feedback / Q000502:physiology; D008027:Light; D018782:Maze Learning; D008954:Models, Biological; D009235:Myxomycetes / Q000166:cytology / Q000502:physiology / Q000528:radiation effects; D016571:Neural Networks, Computer; D016839:Physarum polycephalum / Q000166:cytology / Q000502:physiology* / Q000528:radiation effects; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity