ON THE FEEDBACK COMPLEXITY OF AUTOMATA.

Abstract

Given a behavior, as embodied in a finite state transition function what is the minimum level of feedback complexity required by a logical net which can simulate this behavior. For any given level of complexity is there a transition function which cannot be simulated by any logical net characterized by this complexity level. To answer these questions we: (1) Consider five main classes of behavior realization: simulation, mutual pi-simulation, homorphic realization, expansion limited realization and isomorphic realization does not and simulation allows computational slow-up which homomorphic realization does not. In mutual pi-simulation the semigroup must be preserved while expansion limited realization corresponds to the use of covers for state splitting; (2) Construct representing digraphs for logical nets and characterize the reduced digraph of a simulation; (3) Select as measures of complexity of a logical net: (a) the size of the largest strong component of its representing digraph and (b) the largest of feedback indegrees of the points in the representing digraph. Here the feedback indegree of a point is the number of input lines it receives from points in the same strong component. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1969
Accession Number
AD0681082

Entities

People

  • Bernard Phillip Zeigler

Organizations

  • University of Michigan

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Automata
  • Feedback
  • Simulations
  • Transitions

Readers

  • Graph Algorithms and Convex Optimization.
  • Mathematical Modeling and Probability Theory.
  • Robotics and Automation.