title: |
Grounding Possible Worlds Semantics in Experiential Semantics |
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publication: |
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part of series: |
Advances in Intelligent Systems Research | |
ISBN: |
978-90-78677-36-9 | |
ISSN: |
1951-6851 | |
DOI: |
doi:10.2991/agi.2010.9 (how to use a DOI) | |
author(s): |
Matthew Ikle, Ben Goertzel |
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publication date: |
March 2010 |
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abstract: |
Probabilistic Logic Networks (PLN), a comprehensive framework for uncertain inference currently in use in the OpenCog and Novamente Cognition Engine AGI software architectures, has previously been described in terms of the ¨experiential semantics" of an intelligent agent embodied in a world. However, several aspects of PLN are more easily interpreted and formulated in terms of ¨possible worlds semantics"; here we use a formal model of intelligent agents to show how a form of possible worlds semantics can be derived from experiential semantics, and use this to provide new interpretations of several aspects of PLN (including uncertain quanti ers, intensional inheritance, and indefinite probabilities.) These new interpretations have practical as well as conceptual bene ts, as they give a unified way of specifying parameters that in the previous interpretations of PLN were viewed as unrelated. |
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copyright: |
©
Atlantis Press. This article is distributed under the
terms of the Creative Commons Attribution License, which permits
non-commercial use, distribution and reproduction in any medium,
provided the original work is properly cited. |
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full text: |