Synthesizing efficient agents from partial programs

Jane Yung Jen Hsu*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Partial programs are useful for incremental specifications of an agent's behavior in dynamic environments. Unfortunately, executing arbitrary partial programs involves theorem proving, which can be computationally intractable. This paper presents an algorithm for generating efficient implementations of agent behavior from a subclass of partial programs. The algorithm employs a completion strategy that systematically reduces the number of previous percepts being considered. As a result, the compiled structure corresponds to a finite agent with minimal perceptual histories so that its actions can be decided within a bounded time during execution.

Original languageEnglish
Title of host publicationMethodologies for Intelligent Systems - 6th International Symposium, ISMIS 1991, Proceedings
EditorsZbigniew W. Ras, Maria Zemankova
PublisherSpringer Verlag
Pages142-151
Number of pages10
ISBN (Print)9783540545637
DOIs
StatePublished - 1991
Externally publishedYes
Event6th International Symposium on Methodologies for Intelligent Systems, ISMIS 1991 - Charlotte , United States
Duration: 16 10 199119 10 1991

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume542 LNAI Part F2
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Symposium on Methodologies for Intelligent Systems, ISMIS 1991
Country/TerritoryUnited States
CityCharlotte
Period16/10/9119/10/91

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 1991.

Fingerprint

Dive into the research topics of 'Synthesizing efficient agents from partial programs'. Together they form a unique fingerprint.

Cite this