Spatial and Temporal Reasoning

Capa
Oliviero Stock
Springer Science & Business Media, 30/09/1998 - 394 páginas
Qualitative reasoning about space and time - a reasoning at the human level - promises to become a fundamental aspect of future systems that will accompany us in daily activity.
The aim of Spatial and Temporal Reasoning is to give a picture of current research in this area focusing on both representational and computational issues. The picture emphasizes some major lines of development in this multifaceted, constantly growing area. The material in the book also shows some common ground and a novel combination of spatial and temporal aspects of qualitative reasoning.
Part I presents the overall scene. The chapter by Laure Vieu is on the state of the art in spatial representation and reasoning, and that by Alfonso Gerevini gives a similar survey on research in temporal reasoning. The specific contributions to these areas are then grouped in the two main parts. In Part II, Roberto Casati and Achille Varzi examine the ontological status of spatial entities; Anthony Cohn, Brandon Bennett, John Gooday, and Nicholas Gotts present a detailed theory of reasoning with qualitative relations about regions; Andrew Frank discusses the spatial needs of geographical information systems; and Annette Herskovits focuses on the linguistic expression of spatial relations. In Part III, James Allen and George Ferguson describe an interval temporal logic for the representation of actions and events; Drew McDermott presents an efficient way of predicting the outcome of plan execution; and Erik Sandewall introduces a semantics based on transitions for assessing theories of action and change. In Part IV, Antony Galton's chapter stands clearly between the two areas of space and time and outlines the main coordinates of an integrated approach.
 

Índice

1 Spatial Representation and Reasoning in Artificial Intelligence
5
12 Ontologies of Space and Spatial Knowledge Representation
7
13 Overview of Approaches to Spatial Representation in AI
17
14 Classes of Spatial Reasoning
33
15 Conclusions
39
16 Acknowledgments
41
Major Issues
43
22 Modeling Time
44
59 Research Topics
150
510 Conclusions
151
6 Language Spatial Cognition and Vision
155
62 Usages of the Prepositions
160
63 Schematization
168
64 The Fluidity of Prepositional Meaning
182
65 The Interface Between Language and Spatial Cognition
193
66 Conclusions
200

23 Reasoning About Time
45
24 Reasoning About Actions and Change
48
25 Temporal Reasoning in Planning
53
26 Reasoning About Temporal Relations
58
27 Conclusions
67
Spatial Representation and Reasoning
71
3 Spatial Entities
73
32 Parts and Wholes
75
33 The Topological Option
76
34 The Hole Trouble
78
35 The Compositional Approach
81
36 Negative Parts
83
37 Hybrid Sums
86
38 Negative Parts of What
88
39 The Need for Explicit Theories
90
310 Concluding Remarks
95
4 Representing and Reasoning with Qualitative Spatial Relations About Regions
97
42 An Introduction to the Region Connection Calculus RCC
102
43 Expressing Topological Shape in Terms of C
108
44 Reasoning with the RCC Calculus
111
45 Shape Representation using a Convex Hull Primitive
114
46 Spatial Reasoning with Decidable Logics
120
47 Some Applications of RCC
123
48 Spatial Regions with Uncertain Boundaries
125
49 Final Comments
131
A Geographical Information Point of View
135
52 Geographic Information Systems Build on Ontologies
136
53 Problems with AdHoc Ontologies in GIS
141
54 Use of Ontologies in GIS and Similar Information Systems
143
55 Two Different Types of Uses for Ontologies
145
56 How to Make Ontologies Usable
146
57 Open Questions for Ontologies for GIS
147
Merging Multiple Theories
149
Temporal Reasoning
203
7 Actions and Events in Interval Temporal Logic
205
72 Representing Actions and Events
207
73 Interval Temporal Logic
211
74 Reasoning About Action in Simple Domains
225
75 External Events and Simultaneous Actions
233
76 Problems and Future Work
242
77 Conclusion
243
8 Probabilistic Projection in Planning
247
82 An Idealized System
249
83 The Actual Implementation
274
84 Experimental Results
282
85 Conclusions
285
9 Underlying Semantics for Action and Change with Ramification
289
92 The systematic methodology
293
93 Underlying semantics for strict inertia
296
94 Ramification
300
95 Causal propagation semantics
304
96 Minimization approaches to ramification
306
97 Assessments of entailment methods based on minimization of change
310
98 Causal approaches to ramification
315
99 Conclusion
317
Between Space and Time
319
10 Space Time and Movement
321
102 Models of Time
326
103 Models of Space Position and Movement
330
104 Continuity
340
105 Discrete Representations of Continuous State Spaces
345
106 Conclusions
352
List of Authors
353
References
356
SUBJECT INDEX
383
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Oliviero Stock is the Head of the Cognitive and Communication Technologies Division at the Istituto per la Ricerca Scientifica e Tecnologica (IRST) in Trento, Italy. His main research activities are artificial intelligence, natural language processing, intelligent interfaces and human-computer interaction. He has been the President of the Italian Association for Artificial Intelligence and the Association for Computational Linguistics, and the Chairman of the European coordinating committee for Artificial Intelligence.

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