Grounding Possible Worlds Semantics in Experiential Semantics
- DOI
- 10.2991/agi.2010.9How to use a DOI?
- 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.
- Copyright
- © 2010, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Matthew Ikle AU - Ben Goertzel PY - 2010/06 DA - 2010/06 TI - Grounding Possible Worlds Semantics in Experiential Semantics BT - Proceedings of the 3d Conference on Artificial General Intelligence (2010) PB - Atlantis Press SP - 41 EP - 46 SN - 1951-6851 UR - https://doi.org/10.2991/agi.2010.9 DO - 10.2991/agi.2010.9 ID - Ikle2010/06 ER -