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Author:   Patrick Brézillon (Sorbonne University, France)
Publisher:   ISTE Ltd
Imprint:   ISTE Ltd
ISBN:  

9781836690955

ISBN 10:   1836690959
Pages:   336
Publication Date:   19 January 2026
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock  
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Table of Contents

Preface ix Acronyms xiii Introduction xv Chapter 1. Theoretical and Pragmatic Basis of Our Context Modeling 1 1.1. Introduction 1 1.2. Theoretical basis 2 1.2.1. Model and representation 2 1.2.2. Concepts used 11 1.2.3. The proposed scientific approach 22 1.3. Projects and applications 28 1.3.1. Introduction 28 1.3.2. The SEPT project (1986–1995) 29 1.3.3. The SART project (1996–2002) 31 1.3.4. The FlexMIm project (2012–2015) 34 1.3.5. The TACTIC project (2013–2015) 35 1.3.6. The ACA project (2005–2009) 38 1.3.7. ""Contextualizing scientific workflows"" project (2009–2011) 40 1.3.8. The MICO project (2011–2014) 43 1.3.9. The winemaking project (1997–1999) 44 1.3.10. The OSSMOSE project (2009–2011) 46 1.3.11. ""Computer-mediated collaborative work"" project (1997–1999) 48 1.4. Review of the chapter 50 Chapter 2. Context Modeling for Actor Activity (CxG_1.0) 53 2.1. Introduction 53 2.2. Conceptual level 55 2.2.1. Contextual knowledge and external knowledge 55 2.2.2. Conceptual elements used in the research 57 2.3. Operational level 63 2.3.1. Operational knowledge and context 63 2.3.2. Contextual elements 68 2.3.3. Mental models and mental representations 69 2.4. Implementation level 71 2.4.1. The CxG_1.0 formalism 71 2.4.2. Modeling tools 72 2.4.3. Exploitation tools 79 2.4.4. Review on the CxG_1.0 formalism 88 2.5. Environment level 89 2.6. Variants of the context modeling 91 2.6.1. Introduction 91 2.6.2. The COM 92 2.6.3. Parallel with BPEL for workflows 95 2.6.4. Comparison with two other context-based formalisms 98 2.7. Review of the chapter 103 Chapter 3. Context Modeling for Group Activity (CxG_2.0) 109 3.1. Introduction 109 3.2. Conceptual level 110 3.2.1. Introduction 110 3.2.2. Concept of activity for a group 111 3.2.3. The shared context 113 3.2.4. The turn 117 3.2.5. CxG-based simulation 118 3.3. Operational level 121 3.3.1. Introduction 121 3.3.2. The notions of group activity and interaction 121 3.3.3. The CxG_2.0 formalism 123 3.4. Implementation level 124 3.4.1. Introduction 124 3.4.2. From actor activity to group activity 124 3.4.3. Reserved contextual elements 125 3.4.4. Mechanisms of the CxG-based simulation 128 3.5. Environment level 136 3.6. Two examples 137 3.6.1. ""Submission management"" example 137 3.6.2. The TACTIC project 146 3.7. Review of the chapter 152 Chapter 4. The Two Versions of the CxG Formalism 157 4.1. Introduction 157 4.2. The key points of the research 158 4.2.1. Discussion on key concepts of the approach 158 4.2.2. Definition of the context of an activity 166 4.2.3. Contextual reasoning 167 4.2.4. Global and local contexts 175 4.3. The ""Internship-offer analysis"" example 186 4.3.1. The actors 186 4.3.2. Conditions of the experiment 187 4.3.3. Development of the experiment 188 4.3.4. Interpretation of the results 192 4.3.5. Comparison with the ""DVD-reader diagnosis"" task 199 4.4. CxG formalism for CIAS Design 204 4.5. Review of the chapter 214 Chapter 5. Use of the CxG Formalism in Different Modeling 221 5.1. Introduction 221 5.2. Breast cancer diagnosis 223 5.3. Hierarchical task analysis (HTA) 229 5.4. The ACA project 237 5.4.1. Introduction 237 5.4.2. The ACA method 237 5.4.3. Application in road safety 240 5.5. Workflow modeling in an ACP Department 249 5.5.1. The initial work 249 5.5.2. Contextual modeling of the workflow 252 5.5.3. Discussion on context-based modeling of workflow 257 5.6. Context modeling and semiotics 258 5.7. Review of the chapter 266 Conclusion 271 References 285 Index 297

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Author Information

Patrick Brézillon works in artificial intelligence. His research includes a four-level scientific approach leading to contextual-graph formalism, a real-time definition of context. His objective is the design of context-based intelligent assistant systems.

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