From Fairness to Chance

Abstract

Fairness is a mathematical abstraction used in the modeling of a wide range of phenomena, including concurrency, scheduling, and probability In this paper, we study fairness in the context of probabilistic systems, and we introduce probabilistic fairness, a novel notion of fairness that is itself defined in terms of probability. The definition of probabilistic fairness makes it invariant with respect to synchronous composition, and facilitates the design of model-checking algorithms for quantitative properties of probabilistic systems. We compare probabilistic fairness with other notions of fairness for probabilistic systems, and we provide algorithms that solve the verification problem for various classes of probabilistic properties on finite-state systems with fairness.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1999
Accession Number
ADA461231

Entities

People

  • Luca De Alfaro

Organizations

  • University of California, Berkeley

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Availability
  • California
  • Classification
  • Computer Science
  • Computers
  • Contracts
  • Engineering
  • Information Operations
  • Instructions
  • Monitoring
  • Multithreading
  • Probability
  • Scheduling (Production)
  • Security
  • Theoretical Computer Science

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Mathematical Modeling and Probability Theory.