Many-Dimensional Modal Logics: Theory and Applications -  Dov M. Gabbay,  A. Kurucz,  F. Wolter,  M. Zakharyaschev

Many-Dimensional Modal Logics: Theory and Applications (eBook)

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2003 | 1. Auflage
766 Seiten
Elsevier Science (Verlag)
978-0-08-053578-4 (ISBN)
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Modal logics, originally conceived in philosophy, have recently found many applications in computer science, artificial intelligence, the foundations of mathematics, linguistics and other disciplines. Celebrated for their good computational behaviour, modal logics are used as effective formalisms for talking about time, space, knowledge, beliefs, actions, obligations, provability, etc. However, the nice computational properties can drastically change if we combine some of these formalisms into a many-dimensional system, say, to reason about knowledge bases developing in time or moving objects.



To study the computational behaviour of many-dimensional modal logics is the main aim of this book. On the one hand, it is concerned with providing a solid mathematical foundation for this discipline, while on the other hand, it shows that many seemingly different applied many-dimensional systems (e.g., multi-agent systems, description logics with epistemic, temporal and dynamic operators, spatio-temporal logics, etc.) fit in perfectly with this theoretical framework, and so their computational behaviour can be analyzed using the developed machinery.



We start with concrete examples of applied one- and many-dimensional modal logics such as temporal, epistemic, dynamic, description, spatial logics, and various combinations of these. Then we develop a mathematical theory for handling a spectrum of 'abstract' combinations of modal logics - fusions and products of modal logics, fragments of first-order modal and temporal logics - focusing on three major problems: decidability, axiomatizability, and computational complexity. Besides the standard methods of modal logic, the technical toolkit includes the method of quasimodels, mosaics, tilings, reductions to monadic second-order logic, algebraic logic techniques. Finally, we apply the developed machinery and obtained results to three case studies from the field of knowledge representation and reasoning: temporal epistemic logics for reasoning about multi-agent systems, modalized description logics for dynamic ontologies, and spatio-temporal logics.



The genre of the book can be defined as a research monograph. It brings the reader to the front line of current research in the field by showing both recent achievements and directions of future investigations (in particular, multiple open problems). On the other hand, well-known results from modal and first-order logic are formulated without proofs and supplied with references to accessible sources.



The intended audience of this book is logicians as well as those researchers who use logic in computer science and artificial intelligence. More specific application areas are, e.g., knowledge representation and reasoning, in particular, terminological, temporal and spatial reasoning, or reasoning about agents. And we also believe that researchers from certain other disciplines, say, temporal and spatial databases or geographical information systems, will benefit from this book as well.



Key Features:



&bull, Integrated approach to modern modal and temporal logics and their applications in artificial intelligence and computer science



&bull, Written by internationally leading researchers in the field of pure and applied logic



&bull, Combines mathematical theory of modal logic and applications in artificial intelligence and computer science



&bull, Numerous open problems for further research



&bull, Well illustrated with pictures and tables


Modal logics, originally conceived in philosophy, have recently found many applications in computer science, artificial intelligence, the foundations of mathematics, linguistics and other disciplines. Celebrated for their good computational behaviour, modal logics are used as effective formalisms for talking about time, space, knowledge, beliefs, actions, obligations, provability, etc. However, the nice computational properties can drastically change if we combine some of these formalisms into a many-dimensional system, say, to reason about knowledge bases developing in time or moving objects.To study the computational behaviour of many-dimensional modal logics is the main aim of this book. On the one hand, it is concerned with providing a solid mathematical foundation for this discipline, while on the other hand, it shows that many seemingly different applied many-dimensional systems (e.g., multi-agent systems, description logics with epistemic, temporal and dynamic operators, spatio-temporal logics, etc.) fit in perfectly with this theoretical framework, and so their computational behaviour can be analyzed using the developed machinery.We start with concrete examples of applied one- and many-dimensional modal logics such as temporal, epistemic, dynamic, description, spatial logics, and various combinations of these. Then we develop a mathematical theory for handling a spectrum of 'abstract' combinations of modal logics - fusions and products of modal logics, fragments of first-order modal and temporal logics - focusing on three major problems: decidability, axiomatizability, and computational complexity. Besides the standard methods of modal logic, the technical toolkit includes the method of quasimodels, mosaics, tilings, reductions to monadic second-order logic, algebraic logic techniques. Finally, we apply the developed machinery and obtained results to three case studies from the field of knowledge representation and reasoning: temporal epistemic logics for reasoning about multi-agent systems, modalized description logics for dynamic ontologies, and spatio-temporal logics.The genre of the book can be defined as a research monograph. It brings the reader to the front line of current research in the field by showing both recent achievements and directions of future investigations (in particular, multiple open problems). On the other hand, well-known results from modal and first-order logic are formulated without proofs and supplied with references to accessible sources.The intended audience of this book is logicians as well as those researchers who use logic in computer science and artificial intelligence. More specific application areas are, e.g., knowledge representation and reasoning, in particular, terminological, temporal and spatial reasoning, or reasoning about agents. And we also believe that researchers from certain other disciplines, say, temporal and spatial databases or geographical information systems, will benefit from this book as well.Key Features:* Integrated approach to modern modal and temporal logics and their applications in artificial intelligence and computer science* Written by internationally leading researchers in the field of pure and applied logic* Combines mathematical theory of modal logic and applications in artificial intelligence and computer science* Numerous open problems for further research* Well illustrated with pictures and tables

Front Cover 1
Many-Dimensional Modal Logics: Theory and Applications 4
Copyright Page 5
Contents 16
Part I: Introduction 20
Chapter 1. Modal logic basics 22
1.1 Modal axiomatic systems 22
1.2 Possible world semantics 28
1.3 Classical first-order logic and the standard translation 34
1.4 Multimodal logics 39
1.5 Algebraic semantics 46
1.6 Decision, complexity and axiomatizability problems 50
Chapter 2. Applied modal logic 60
2.1 Temporal logic 60
2.2 Interval temporal logic 68
2.3 Epistemic logic 74
2.4 Dynamic logic 80
2.5 Description logic 84
2.6 Spatial logic 97
2.7 Intuitionistic logic 111
2.8 'Model level' reductions between logics 115
Chapter 3. Many-dimensional modal logics 130
3.1 Fusions 130
3.2 Spatio-temporal logics 133
3.3 Products 144
3.4 Temporal epistemic logics 153
3.5 Classical first-order logic as a propositional multimodal logic 160
3.6 First-order modal logics 162
3.7 First-order temporal logics 176
3.8 Description logics with modal operators 183
3.9 HS as a two-dimensional logic 198
3.10 Modal transition logics 199
3.11 Intuitionistic modal logics 206
Part II: Fusions and products 214
Chapter 4. Fusions of modal logics 216
4.1 Preserving Kripke completeness and the finite model property 216
4.2 Algebraic preliminaries 219
4.3 Preserving decidability of global consequence 224
4.4 Preserving decidability 227
4.5 Preserving interpolation 235
4.6 On the computational complexity of fusions 237
Chapter 5. Products of modal logics: introduction 240
5.1 Axiomatizing products 241
5.2 Proving decidability with quasimodels 254
5.3 The finite model property 263
5.4 Proving undecidability 271
5.5 Proving complexity with tilings 281
Chapter 6. Decidable products 292
6.1 Warming up: Kn x Km 293
6.2 CPDL x Km 304
6.3 Products of epistemic logics with Km 316
6.4 Products of temporal logics with Km 322
6.5 Products with S5 338
6.6 Products with multimodal S5 353
Chapter 7. Undecidable products 362
7.1 Products of linear orders with infinite ascending chains 363
7.2 Products of linear orders with infinite descending chains 373
7.3 Products of Dedekind complete linear orders 380
7.4 Products of finite linear orders 383
7.5 More undecidable products 386
Chapter 8. Higher-dimensional products 396
8.1 S5 x S5 x ... x S5 398
8.2 Products between K4n and S5n 410
8.3 Products with the fmp 413
8.4 Between Kn and SSn 415
8.5 Finitely axiomatizable and decidable products 429
Chapter 9. Variations on products 436
9.1 Relativized products 437
9.2 Valuation restrictions 453
Chapter 10. Intuitionistic modal logics 458
10.1 Intuitionistic modal logics with D 458
10.2 Intuitionistic modal logics with D and dimond 464
10.3 The finite model property 472
Part III: First-order modal logics 480
Chapter 11. Fragments of first-order temporal logics 484
11.1 Undecidable fragments 484
11.2 Monodic formulas, decidable fragments 490
11.3 Embedding into monadic second-order theories 500
11.4 Complexity of decidable fragments of QLogsu(N) and their complexity 507
11.5 Satisfiability in models over (N, < ) with finite domains
11.6 Satisfiability in models over {R< } with finite domains
11.7 Axiomatizing monodic fragments 546
11.8 Monodicity and equality 557
Chapter 12. Fragments of first-order dynamic and epistemic logics 566
12.1 Decision problems 566
12.2 Axiomatizing monodic fragments 569
Part IV: Applications to knowledge representation 584
Chapter 13. Temporal epistemic logics 586
13.1 Synchronous systems 588
13.2 Agents who know the time and neither forget nor learn 594
Chapter 14. Modal description logics 602
14.1 Concept satisfiability 604
14.2 General formula satisfiability 610
14.3 Restricted formula satisfiability 624
14.4 Satisfiability in models with finite domains 629
Chapter 15. Tableaux for modal description logics 634
15.1 Tableaux for ALC 635
15.2 Tableaux for KALC with constant domains 642
15.3 Adding expressive power to KALC 659
Chapter 16. Spatio-temporal logics 666
16.1 Modal formalisms for spatio-temporal reasoning 667
16.2 Embedding spatio-temporal logics in first-order temporal logic 673
16.3 Complexity of spatio-temporal logics 680
16.4 Models based on Euclidean spaces 691
Epilogue 698
Bibliography 704
List of tables 744
List of languages and logics 746
Symbol index 752
Subject index 756

Erscheint lt. Verlag 21.10.2003
Sprache englisch
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Mathematik / Informatik Mathematik Logik / Mengenlehre
ISBN-10 0-08-053578-X / 008053578X
ISBN-13 978-0-08-053578-4 / 9780080535784
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