Exploratory Model Building
Artificial Intelligence
2013-02-28 v1
Abstract
Some instances of creative thinking require an agent to build and test hypothetical theories. Such a reasoner needs to explore the space of not only those situations that have occurred in the past, but also those that are rationally conceivable. In this paper we present a formalism for exploring the space of conceivable situation-models for those domains in which the knowledge is primarily probabilistic in nature. The formalism seeks to construct consistent, minimal, and desirable situation-descriptions by selecting suitable domain-attributes and dependency relationships from the available domain knowledge.
Cite
@article{arxiv.1302.6789,
title = {Exploratory Model Building},
author = {Raj Bhatnagar},
journal= {arXiv preprint arXiv:1302.6789},
year = {2013}
}
Comments
Appears in Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence (UAI1994)