Representing plans under uncertainty : a logic of time, chance, and action /
This monograph integrates AI and decision-theoretic approaches to the representation of planning problems by developing a first-order logic of time, chance, and action for representing and reasoning about plans. The semantics of the logic incorporates intuitive properties of time, chance, and action...
| Main Author: | |
|---|---|
| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Berlin ; New York :
Springer-Verlag,
[1994]
|
| Series: | Lecture notes in computer science ;
770. Lecture notes in computer science. Lecture notes in artificial intelligence. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | This monograph integrates AI and decision-theoretic approaches to the representation of planning problems by developing a first-order logic of time, chance, and action for representing and reasoning about plans. The semantics of the logic incorporates intuitive properties of time, chance, and action central to the planning problem. The logical language integrates both modal and probabilistic constructs and allows quantification over time points, probability values, and domain individuals. The language can represent the chance that facts hold and events occur at various times and that actions and other events affect the future. An algorithm for the problem of building construction planning is developed and the logic is used to prove the algorithm correct. |
|---|---|
| Item Description: | Electronic resource. |
| Physical Description: | 1 online resource (ix, 129 pages) : illustrations. |
| Format: | Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. |
| Bibliography: | Includes bibliographical references (pages 126-129). |
| ISBN: | 9783540483120 (electronic bk.) 3540483128 (electronic bk.) |