Games, Time, and Probability: Graph Models for System Design and Analysis

  • Authors:
  • Thomas A. Henzinger

  • Affiliations:
  • EPFL, Switzerland

  • Venue:
  • SOFSEM '07 Proceedings of the 33rd conference on Current Trends in Theory and Practice of Computer Science
  • Year:
  • 2007

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Abstract

Digital technology is increasingly deployed in safety-critical situations. This calls for systematic design and verification methodologies that can cope with three major sources of system complexity: concurrency, real time, and uncertainty. We advocate a two-step process: formal modeling followed by algorithmic analysis (or, "model building" followed by "model checking"). We model the concurrent components of a reactive system as potential collaborators or adversaries in a multi-player game with temporal objectives, such as system safety. The real-time aspect of embedded systems requires models that combine discrete state transitions and continuous state evolutions. Uncertainty in the environment is naturally modeled by probabilistic state changes. As a result, we obtain three orthogonal extensions of the basic state-transition graph model for reactive systems --game graphs, timed graphs, and stochastic graphs-- as well as combinations thereof. In this short text, we provide a uniform exposition of the underlying definitions. For verification algorithms, we refer the reader to the literature.