Representing the Zoo World and the Traffic World in the language of the Causal Calculator

Varol Akman, Selim T. Erdogan, Joohyung Lee, Vladimir Lifschitz, Hudson Turner

Research output: Contribution to journalConference articlepeer-review

42 Scopus citations


The work described in this report is motivated by the desire to test the expressive possibilities of action language script C sign + . The Causal Calculator (CCALC) is a system that answers queries about action domains described in a fragment of that language. The Zoo World and the Traffic World have been proposed by Erik Sandewall in his Logic Modelling Workshop - an environment for communicating axiomatizations of action domains of nontrivial size. The Zoo World consists of several cages and the exterior, gates between them, and animals of several species, including humans. Actions in this domain include moving within and between cages, opening and closing gates, and mounting and riding animals. The Traffic World includes vehicles moving continuously between road crossings subject to a number of restrictions, such as speed limits and keeping a fixed safety distance away from other vehicles on the road. We show how to represent the two domains in the input language of CCALC, and how to use CCALC to test these representations.

Original languageEnglish (US)
Pages (from-to)105-140
Number of pages36
JournalArtificial Intelligence
Issue number1-2
StatePublished - Mar 2004
EventLogical Formalizations and Commonsense Reasoning - New York, NY, United States
Duration: May 1 2001May 1 2001

Bibliographical note

Funding Information:
0322-2001. Hudson Turner was partially supported by the National Science Foundation under CAREER Grant 0091773.

Funding Information:
A logic program related to the Zoo World was written by several members of Texas Action Group in September of 1999,7 and discussing that program with Michael Gelfond helped us in our work on this paper in many ways. Varol Akman was partially supported by TÜB˙TAK-NSF under Grant 101E024. Selim Erdog˘an, Joohyung Lee and Vladimir Lifschitz were partially supported by the National Science Foundation under Grant IIS-9732744 and by the Texas Higher Education Coordinating Board under Grant 003658-


  • Action languages
  • Commonsense reasoning
  • Knowledge representation
  • Reasoning about actions


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