@article{Lesperance2,
  author = "Yves Lespérance",
  title = "Toward a computational interpretation of situation semantics",
  journal = "Computational intelligence",
  volume = "2",
  number = "1",
  month = "February",
  year = "1986",
  pages = "9--27",
  abstract = "<p>Situation semantics proposes novel and attractive treatments for several
             problem areas of natural language semantics, such as efficiency (context
             sensitivity) and propositional attitude reports. Its focus on the
             information carried by utterances makes the approach very promising fro
             accounting for pragmatic phenomena. However, situation semantics seems to
             oppose several basic assumptions underlying current approaches to natural
             language processing and the design of intelligent systems in general. It
             claims that efficiency undermines the standard notions of logical form,
             entailment, and proof theory, and objects to the view that mental processes
             necessarily involve internal representations. The paper attempts to clarify
             these issues and discusses the impact of situation semantics' criticisms
             for natural language processing, knowledge representation, and reasoning. I
             claim that the representational approach is the only currently practical
             one for the design of large intelligent systems, but argue that the
             representations used should be efficient in order to account for the
             system's embedding in its environment. The paper concludes by stating some
             constraints that a computational interpretation of situation semantics
             should obey and discussing remaining problems.</p>"
}