Verifying Space and Time Requirements for Resource-Bounded Agents

  • Authors:
  • Natasha Alechina;Piergiorgio Bertoli;Chiara Ghidini;Mark Jago;Brian Logan;Luciano Serafini

  • Affiliations:
  • School of Computer Science, University of Nottingham, Nottingham, UK;ITC-IRST, Trento, Italy;ITC-IRST, Trento, Italy;School of Computer Science, University of Nottingham, Nottingham, UK;School of Computer Science, University of Nottingham, Nottingham, UK;ITC-IRST, Trento, Italy

  • Venue:
  • Model Checking and Artificial Intelligence
  • Year:
  • 2007

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Abstract

The effective reasoning capabilityof an agent can be defined as its capability to infer, within a given space and time bound, facts that are logical consequences of its knowledge base. In this paper we show how to determine the effective reasoning capability of an agent with limited memory by encoding the agent as a transition system and automatically verifying whether a state where the agent believes a certain conclusion is reachable from the start state. We present experimental results using the Model Based Planner (mbp) which illustrates how the length of the deduction varies for different memory sizes.