An Argumentation-Based Interpreter for Golog Programs
Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence. Pages 690-694.
Abstract
This paper presents an argumentation-based interpreter for Golog programs. Traditional Golog interpreters are not designed to find the most preferred executions of a program from the perspective of an agent. Existing techniques developed to discover these executions are limited in terms of how the preferences of an agent can be expressed, and the variety of preference types that can be used to guide search for a solution. The presented work combines the use of argumentation to compare executions relative to a set of general comparison principles, and the theory behind best first search to reduce the cost of the search process. To the best of our knowledge this is the first work to integrate argumentation and the interpretation of Golog programs, and to use argumentation as a tool for best first search.Michelle Blom, Adrian Pearce
@inproceedings{ijcai2009p120,
title = {An Argumentation-Based Interpreter for Golog Programs},
author = {Blom, Michelle L. and Pearce, Adrian R.},
booktitle = {Proceedings of the Twenty-First International Joint Conference on
Artificial Intelligence, {IJCAI-09}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Hiroaki Kitano},
pages = {690--694},
year = {2009},
url = {https://ijcai.org/proceedings/2009/120},
}
TY - CPAPER TI - An Argumentation-Based Interpreter for Golog Programs AU - Blom, Michelle L. AU - Pearce, Adrian R. T2 - Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence, IJCAI-09 PB - International Joint Conferences on Artificial Intelligence PY - 2009 SP - 690 EP - 694 UR - https://ijcai.org/proceedings/2009/120 ER -Copied
Machine-readable versions of this paper, for tools and AI agents:
