Collective systems:physical and information exergies.
Author(s) -
Rush D. Robinett,
David G. Wilson
Publication year - 2007
Language(s) - English
Resource type - Reports
DOI - 10.2172/909392
Subject(s) - collective behavior , collective motion , hamiltonian (control theory) , physical system , inverse , grid , computer science , statistical physics , mathematics , physics , mathematical optimization , artificial intelligence , quantum mechanics , sociology , geometry , anthropology
Collective systems are typically defined as a group of agents (physical and/or cyber) that work together to produce a collective behavior with a value greater than the sum of the individual parts. This amplification or synergy can be harnessed by solving an inverse problem via an information-flow/communications grid: given a desired macroscopic/collective behavior find the required microscopic/individual behavior of each agent and the required communications grid. The goal of this report is to describe the fundamental nature of the Hamiltonian function in the design of collective systems (solve the inverse problem) and the connections between and values of physical and information exergies intrinsic to collective systems. In particular, physical and information exergies are shown to be equivalent based on thermodynamics and Hamiltonian mechanics
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