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  1. Modeling Spatial Knowledge.Benjamin Kuipers - 1978 - Cognitive Science 2 (2):129-153.
    A person's cognitive map, or knowledge of large‐scale space, is built up from observations gathered as he travels through the environment. It acts as a problem solver to find routes and relative positions, as well as describing the current location. The TOUR model captures the multiple representations that make up the cognitive map, the problem‐solving strategies it uses, and the mechanisms for assimilating new information. The representations have rich collections of states of partial knowledge, which support many of the performance (...)
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  • Learning dynamics: system identification for perceptually challenged agents.Kenneth Basye, Thomas Dean & Leslie Pack Kaelbling - 1995 - Artificial Intelligence 72 (1-2):139-171.
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  • The Spatial Semantic Hierarchy.Benjamin Kuipers - 2000 - Artificial Intelligence 119 (1-2):191-233.
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  • Formalizing context (expanded notes).John McCarthy & Sasa Buvac - 1998 - CSLI Lecture Notes 81:13-50.
    These notes discuss formalizing contexts as first class objects. The basic relationships are: ist(c,p) meaning that the proposition p is true in the context c, and value(c,p) designating the value of the term e in the context c Besides these, there are lifting formulas that relate the propositions and terms in subcontexts to possibly more general propositions and terms in the outer context. Subcontextx are often specialised with regard to time, place and terminology. Introducing contexts as formal objects will permit (...)
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  • Nested abnormality theories.Vladimir Lifschitz - 1995 - Artificial Intelligence 74 (2):351-365.
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  • Learning metric-topological maps for indoor mobile robot navigation.Sebastian Thrun - 1998 - Artificial Intelligence 99 (1):21-71.
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  • Prototypes, Location, and Associative Networks (PLAN): Towards a Unified Theory of Cognitive Mapping.Eric Chown, Stephen Kaplan & David Kortenkamp - 1995 - Cognitive Science 19 (1):1-51.
    An integrated representation of large‐scale space, or cognitive map, colled PLAN, is presented that attempts to address a broader spectrum of issues than has been previously attempted in a single model. Rather than examining way‐finding as a process separate from the rest of cognition, one or the fundamental goals of this work is to examine how the wayfinding process is integrated into general cognition. One result of this approach is that the model is “heads‐up,” or scene‐based, because it takes advantage (...)
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  • Planning routes through uncertain territory.Drew McDermott & Ernest Davis - 1984 - Artificial Intelligence 22 (2):107-156.
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