Collective decision making using natural self-organization in distributed systems

Distributed systems without centralized elements need a distributed mechanism that allows accomplishing the control and synchronization tasks. This problem is especially relevant in nanoand biosystems that do not possess complex computational devices. However the collective coordination and decision making may be performed using the available in these systems natural dynamical processes based on chemical, optical, electromagnetic or quantum effects. Utilizing these dynamical processes, the transfered information within distributed system is firstly efficiently coded, secondly, does not contain the global information about the whole system. This guarantees security and privacy being also very important in other fields, e.g. in e-commerce.

[1]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[2]  Shing-Tsaan Huang,et al.  Self-stabilizing $2^m$-clock for unidirectional rings of odd size , 1999, Distributed Computing.

[3]  I. Ya. Gerlovin,et al.  Coherent transients in semiconductor nanostructures as a basis for optical logical operations , 2000 .

[4]  Michael Schanz,et al.  APPLICATION OF ORDER PARAMETER EQUATIONS FOR THE ANALYSIS AND THE CONTROL OF NONLINEAR TIME DISCRETE DYNAMICAL SYSTEMS , 1999 .

[5]  Onn Shehory,et al.  Coalition structure generation with worst case guarantees , 2022 .

[6]  Roland Stracke,et al.  Physical and technical parameters determining the functioning of a kinesin-based cell-free motor system , 2000 .

[7]  Kunihiko Kaneko,et al.  Theory and Applications of Coupled Map Lattices , 1993 .

[8]  H. Haken Advanced Synergetics: Instability Hierarchies of Self-Organizing Systems and Devices , 1983 .

[9]  S. Wiggins Introduction to Applied Nonlinear Dynamical Systems and Chaos , 1989 .

[10]  Love Ekenberg,et al.  The logic of conflicts between decision making agents , 2000, J. Log. Comput..

[11]  Tihamer T Toth-Fejel Agents, assemblers, and ANTS: scheduling assembly with market and biological software mechanisms , 2000 .

[12]  D. DiVincenzo,et al.  The Physical Implementation of Quantum Computation , 2000, quant-ph/0002077.

[13]  University of Toronto,et al.  Encoded Universality in Physical Implementations of a Quantum Computer , 2001 .

[14]  Gerhard Weiss,et al.  Multiagent systems: a modern approach to distributed artificial intelligence , 1999 .

[15]  Michael Schanz,et al.  CoPS-Team Description , 2000, RoboCup.