Representing plans under uncertainty: a logic of time, chance, and action
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Abschlussarbeit Buch |
Sprache: | English |
Veröffentlicht: |
Berlin u.a.
Springer
1994
|
Schriftenreihe: | Lecture notes in computer science
770.: Lecture notes in artificial intelligence. |
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | IX, 129 S. graph. Darst. |
ISBN: | 3540576975 0387576975 |
Internformat
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100 | 1 | |a Haddawy, Peter F. |e Verfasser |4 aut | |
245 | 1 | 0 | |a Representing plans under uncertainty |b a logic of time, chance, and action |c Peter Haddawy |
264 | 1 | |a Berlin u.a. |b Springer |c 1994 | |
300 | |a IX, 129 S. |b graph. Darst. | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
490 | 1 | |a Lecture notes in computer science |v 770.: Lecture notes in artificial intelligence. | |
502 | |a Teilw. zugl.: Urbana, Ill., Univ., Diss., 1991 | ||
650 | 4 | |a Künstliche Intelligenz | |
650 | 4 | |a Uncertainty (Information theory) | |
650 | 4 | |a Decision making | |
650 | 4 | |a Artificial intelligence | |
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Datensatz im Suchindex
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---|---|
adam_text |
TABLE
OF
CONTENTS
1
INTRODUCTION
.
1
1.1
SITUATION
CALCULUS
AND
STATE-BASED
PLANNING
.
2
1.2
TEMPORAL
LOGIC
.
3
1.3
DECISION
THEORY
.
3
1.4
DECISION-THEORETIC
PLANNING
.
5
PLAN
GENERATION
ALGORITHMS
.
5
PLAN
PROJECTION
ALGORITHMS
.
6
PLAN
REPRESENTATIONS
.
7
1.5
DESIDERATA
.
8
1.6
USE
OF
THE
LOGIC
.
9
1.7
OUTLINE
.
10
2
ONTOLOGY
.
11
2.1
TIME
.
11
2.2
FACTS
AND
EVENTS
.
11
2.3
ACTIONS
.
13
2.4
POSSIBILITY
.
14
2.5
CHANCE
.
14
2.6
PLANNING
.
16
3
THE
LOGIC
OF
TIME,
CHANCE,
AND
ACTION
.
17
3.1
SYNTAX
.
;
.
17
DESIDERATA
REVISITED
.
19
3.2
SEMANTICS
.
21
SEMANTIC
CONSTRAINTS
.
22
SEMANTIC
DEFINITIONS
.
24
3.3
EXAMPLE
.
26
4
PROOF
THEORY
.
28
4.1
AXIOMS
.
28
4.2
THEOREMS
.
33
FIELD
THEOREMS
.
35
PROBABILITY
THEOREMS
.
35
UNNESTING
OF
POSSIBILITY
AND
INEVITABILITY
.
39
INEVITABILITY
OF
THE
PAST
.
40
CERTAINTY
OF
THE
PRESENT
AND
PAST
.
41
MODAL
OPERATORS
AND
QUANTIFIERS
.
41
ACTIONS
.
42
4.3
EXAMPLES
.
43
5
PROPERTIES
OF
ACTIONS
.
48
5.1
FEASIBILITY
.
48
5.2
EXECUTABILITY
.
51
5.3
EFFECTS
.
51
5.4
CONDITIONS
THAT
INFLUENCE
ACTIONS
.
55
VIII
FEASIBILITY
CONDITIONS
.
55
EXECUTABILITY
CONDITIONS
.
56
RAMIFICATION
CONDITIONS
.
57
5.5
PROPERTIES
OF
PLANS
.
58
FEASIBILITY
OF
PLANS
.
59
EXECUTABILITY
OF
PLANS
.
61
EFFECTS
OF
PLANS
.
61
5.6
CONDITIONAL
PROBABILITY
VS
PROBABILITY
OF
IMPLICATION
.
61
6
GOALS
AND
UTILITIES
.
63
6.1
EXPECTED
UTILITY
OF
ACTIONS
.
63
6.2
SATISFYING
GOALS
AND
MAXIMIZING
UTILITY
.
66
NOISE
IN
THE
STEP
FUNCTION
.
68
NON-STEP
UTILITY
FUNCTIONS
.
70
NON-STEP
UTILITY
FUNCTIONS
WITH
NOISE
.
72
7
DESCRIBING
AND
REASONING
ABOUT
PLANNING
PROBLEMS
.
74
7.1
REPRESENTING
THE
PLANNING
PROBLEM
.
74
THE
PLANNING
ENVIRONMENT
.
74
FEASIBILITY
CONDITIONS
.
75
EXECUTABILITY
CONDITIONS
.
75
EFFECTS
AND
RAMIFICATION
CONDITIONS
.
75
THE
GOAL
DESCRIPTION
.
76
THE
PROBABILITY
OF
GOAL
ACHIEVEMENT
.
76
INFERRING
THE
PROBABILITY
OF
A
GOAL
FROM
ACTION
SPECIFICATIONS.
.
76
7.2
ELABORATIONS
OF
THE
BASIC
FRAMEWORK
.
77
ACTION
DURATION
.
77
RESOURCE
AVAILABILITY
.
78
CONDITIONS
INFLUENCED
BY
ACTIONS
AND
EVENTS
.
78
ACTION
INTERACTIONS
.
78
INTERFERENCE
WITH
EFFECTS
.
81
8
PLANNING
EXAMPLE
.
81
8.1
A
NOTE
ON
REPRESETING
TEMPORALLY
QUANTIFIED
CONDITIONS
.
87
9
CONSTRUCTION
PLANNING
SYSTEM
.
89
9.1
THE
PROBLEM
.
89
9.2
THE
CPM
ALGORITHM
.
90
DATA
STRUCTURES
.
90
ASSUMPTIONS
.
91
ALGORITHM
.
91
PROOF
OF
CORRECTNESS
.
92
9.3
INCORPORATING
RESOURCE
DEPENDENCE
.
94
DATA
STRUCTURES
.
94
ASSUMPTIONS
.
96
THE
PLANNING
ALGORITHM
.
96
EXAMPLE
DERIVATION
.
97
9.4
CONSTRUCTION
PLANNING
EXAMPLE
.
100
IX
10
RELATED
WORK
.
103
10.1
THEORIES
OF
OBJECTIVE
CHANCE
.
103
VAN
FRAASSEN
.
103
LEWIS.
.
103
SKRYMS
.
104
10.2
TEMPORAL
PROBABILITY
LOGICS
.
104
10.3
TEMPORAL
LOGICS
OF
ACTIONS
AND
PLANS
.
106
11
CONCLUSIONS
.
108
11.1
SUMMARY
.
108
11.2
CONTRIBUTIONS
.
108
VOCABULARY
.
109
SEMANTIC
THEORY
.
109
FEASIBILITY
.
110
RATIONALITY
.
110
11.3
LIMITATIONS
AND
FUTURE
RESEARCH
.
ILL
TEMPORAL
OBJECTS
.
ILL
SUBJECTIVE
PROBABILITY
.
ILL
PERSISTENCE
.
112
IMPLEMENTATION
.
112
WHERE
DO
THE
NUMBERS
COME
FROM?
.
112
A
SOUNDNESS
PROOFS
.
114
B
DEVELOPMENT
OF
ACTION
FEASIBILITY
.
118
C
DERIVATION
OF
THE
CHANCE
OF
PLAN
FEASIBILITY
.
119
D
DERIVATION
OF
EUT
.
121
E
DERIVATION
OF
THE
CHANCE
THAT
TRYING
TO
ATTEMPT
A
PLAN
ACHIEVES
A
GIVEN
GOAL
.
123
REFERENCES
.
126 |
any_adam_object | 1 |
author | Haddawy, Peter F. |
author_facet | Haddawy, Peter F. |
author_role | aut |
author_sort | Haddawy, Peter F. |
author_variant | p f h pf pfh |
building | Verbundindex |
bvnumber | BV008858823 |
callnumber-first | Q - Science |
callnumber-label | Q375 |
callnumber-raw | Q375.H33 1994 |
callnumber-search | Q375.H33 1994 |
callnumber-sort | Q 3375 H33 41994 |
callnumber-subject | Q - General Science |
classification_rvk | ST 285 ST 304 |
classification_tum | MAT 624f DAT 703f DAT 540f |
ctrlnum | (OCoLC)246324690 (DE-599)BVBBV008858823 |
dewey-full | 658.4/03/02856320 658.403028563 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 658 - General management |
dewey-raw | 658.4/03/028563 20 658.403028563 |
dewey-search | 658.4/03/028563 20 658.403028563 |
dewey-sort | 3658.4 13 528563 220 |
dewey-tens | 650 - Management and auxiliary services |
discipline | Informatik Mathematik Wirtschaftswissenschaften |
format | Thesis Book |
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id | DE-604.BV008858823 |
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indexdate | 2025-01-10T15:06:09Z |
institution | BVB |
isbn | 3540576975 0387576975 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-005858995 |
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physical | IX, 129 S. graph. Darst. |
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publisher | Springer |
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series | Lecture notes in computer science |
series2 | Lecture notes in computer science |
spelling | Haddawy, Peter F. Verfasser aut Representing plans under uncertainty a logic of time, chance, and action Peter Haddawy Berlin u.a. Springer 1994 IX, 129 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Lecture notes in computer science 770.: Lecture notes in artificial intelligence. Teilw. zugl.: Urbana, Ill., Univ., Diss., 1991 Künstliche Intelligenz Uncertainty (Information theory) Decision making Artificial intelligence Planung (DE-588)4046235-3 gnd rswk-swf Stufe 1 (DE-588)4362503-4 gnd rswk-swf Prädikatenlogik (DE-588)4046974-8 gnd rswk-swf Wissensrepräsentation (DE-588)4049534-6 gnd rswk-swf Unsicherheit (DE-588)4186957-6 gnd rswk-swf Automatische Handlungsplanung (DE-588)4211191-2 gnd rswk-swf Logischer Schluss (DE-588)4139983-3 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Planung (DE-588)4046235-3 s Logischer Schluss (DE-588)4139983-3 s Wissensrepräsentation (DE-588)4049534-6 s DE-604 Automatische Handlungsplanung (DE-588)4211191-2 s Unsicherheit (DE-588)4186957-6 s Prädikatenlogik (DE-588)4046974-8 s Stufe 1 (DE-588)4362503-4 s Lecture notes in computer science 770.: Lecture notes in artificial intelligence. (DE-604)BV000000607 770.: Lecture DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=005858995&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Haddawy, Peter F. Representing plans under uncertainty a logic of time, chance, and action Lecture notes in computer science Künstliche Intelligenz Uncertainty (Information theory) Decision making Artificial intelligence Planung (DE-588)4046235-3 gnd Stufe 1 (DE-588)4362503-4 gnd Prädikatenlogik (DE-588)4046974-8 gnd Wissensrepräsentation (DE-588)4049534-6 gnd Unsicherheit (DE-588)4186957-6 gnd Automatische Handlungsplanung (DE-588)4211191-2 gnd Logischer Schluss (DE-588)4139983-3 gnd |
subject_GND | (DE-588)4046235-3 (DE-588)4362503-4 (DE-588)4046974-8 (DE-588)4049534-6 (DE-588)4186957-6 (DE-588)4211191-2 (DE-588)4139983-3 (DE-588)4113937-9 |
title | Representing plans under uncertainty a logic of time, chance, and action |
title_auth | Representing plans under uncertainty a logic of time, chance, and action |
title_exact_search | Representing plans under uncertainty a logic of time, chance, and action |
title_full | Representing plans under uncertainty a logic of time, chance, and action Peter Haddawy |
title_fullStr | Representing plans under uncertainty a logic of time, chance, and action Peter Haddawy |
title_full_unstemmed | Representing plans under uncertainty a logic of time, chance, and action Peter Haddawy |
title_short | Representing plans under uncertainty |
title_sort | representing plans under uncertainty a logic of time chance and action |
title_sub | a logic of time, chance, and action |
topic | Künstliche Intelligenz Uncertainty (Information theory) Decision making Artificial intelligence Planung (DE-588)4046235-3 gnd Stufe 1 (DE-588)4362503-4 gnd Prädikatenlogik (DE-588)4046974-8 gnd Wissensrepräsentation (DE-588)4049534-6 gnd Unsicherheit (DE-588)4186957-6 gnd Automatische Handlungsplanung (DE-588)4211191-2 gnd Logischer Schluss (DE-588)4139983-3 gnd |
topic_facet | Künstliche Intelligenz Uncertainty (Information theory) Decision making Artificial intelligence Planung Stufe 1 Prädikatenlogik Wissensrepräsentation Unsicherheit Automatische Handlungsplanung Logischer Schluss Hochschulschrift |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=005858995&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
volume_link | (DE-604)BV000000607 |
work_keys_str_mv | AT haddawypeterf representingplansunderuncertaintyalogicoftimechanceandaction |