Real-Time Control of Reasoning: Experiments with Two Control Models

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Citation: Anne Collinot and Barbara Hayes-Roth. (1990) Real-Time Control of Reasoning: Experiments with Two Control Models. In KSL-90-17, March,1990.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author Anne Collinot and Barbara Hayes-Roth
title Real-Time Control of Reasoning: Experiments with Two Control Models
number KSL-90-17
institution Knowledge Systems, AI Laboratory
year 1990
month March
Bibtex more
Access Paper
abstract An intelligent agent must identify and perform logically correct actions in response to external events, and it must perform them at appropriate times.The top-level objective of such an agent would be to maximize (or ensure a lower bound on) the value of some global utility function that integrates the values of its responses to events, weighted by the importance of those events,over time. In this paper, we focus on four properties that might facilitate an agent's achievement of its global utility objective: selectivity,responsiveness, robustness, and scalability. We assume a very general agent architecture, and we focus on its reasoning component. As opposed to a best-next control model we propose a satisfying control model for the reasoning process. We have conducted preliminary experiments to test the following hypotheses: the satisfying model provides good selectivity, responsiveness,robustness, and scalability (both when measured against the best-next model and when measured in absolute terms); therefore, the satisfying model provides a high global utility for the agent's performance. The results of our experiments confirm our hypotheses.

KSL Technical Report ID: KSL-90-17
Facts about Real-Time Control of Reasoning: Experiments with Two Control ModelsRDF feed
Abstract An intelligent agent must identify and per … An intelligent agent must identify and perform logically correct actions in response to external events, and it must perform them at appropriate times.The top-level objective of such an agent would be to maximize (or ensure a lower bound on) the value of some global utility function that integrates the values of its responses to events, weighted by the importance of those events,over time. In this paper, we focus on four properties that might facilitate an agent's achievement of its global utility objective: selectivity,responsiveness, robustness, and scalability. We assume a very general agent architecture, and we focus on its reasoning component. As opposed to a best-next control model we propose a satisfying control model for the reasoning process. We have conducted preliminary experiments to test the following hypotheses: the satisfying model provides good selectivity, responsiveness,robustness, and scalability (both when measured against the best-next model and when measured in absolute terms); therefore, the satisfying model provides a high global utility for the agent's performance. The results of our experiments confirm our hypotheses. of our experiments confirm our hypotheses.
Author Anne Collinot and Barbara Hayes-Roth  +
Bibtype techreport  +
Has author Anne Collinot and Barbara Hayes-Roth  +
Has identifier KSL-90-17  +
Has publishing details March,1990  +
Has title Real-Time Control of Reasoning: Experiments with Two Control Models  +
Has where published KSL-90-17  +
Has year 1990  +
Institution Knowledge Systems, AI Laboratory  +
Ksl tr id KSL-90-17  +
Month March  +
Number KSL-90-17  +
Process note NO  +
Title Real-Time Control of Reasoning: Experiments with Two Control Models  +
Year 1990  +
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