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Explicit and Implicit Knowledge in Neighbourhood Models

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8196))

Abstract

Under relational models, epistemic logic agents are logically omniscient. A common strategy to avoid this has been to distinguish between implicit and explicit knowledge, and approaches based on relational models have used implicit knowledge as a primitive, defining explicit knowledge as implicit knowledge that satisfies some additional requirement. In this work we follow the opposite direction: using neighbourhood models, we take explicit knowledge as a primitive, then defining implicit knowledge as what the agent will know explicitly in an ‘ideal’ state. This approach, though natural, does not satisfy two ‘intuitive’ properties: explicit knowledge does not need to be implicit, and the consequent of an explicitly known implication with explicitly known antecedent does not need to be implicitly known; we discuss why this is the case. Then a modus ponens operation is defined, and it is shown how it satisfies a third ‘intuitive’ property: if the agent knows explicitly an implication and its antecedent, then after a modus ponens step she will know explicitly the consequent.

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Velázquez-Quesada, F.R. (2013). Explicit and Implicit Knowledge in Neighbourhood Models. In: Grossi, D., Roy, O., Huang, H. (eds) Logic, Rationality, and Interaction. LORI 2013. Lecture Notes in Computer Science, vol 8196. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40948-6_19

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  • DOI: https://doi.org/10.1007/978-3-642-40948-6_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40947-9

  • Online ISBN: 978-3-642-40948-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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