© 2020

A Guided Tour of Artificial Intelligence Research

Volume I: Knowledge Representation, Reasoning and Learning

  • Pierre Marquis
  • Odile Papini
  • Henri Prade

Table of contents

  1. Front Matter
    Pages i-xv
  2. Pierre Marquis, Odile Papini, Henri Prade
    Pages 1-43
  3. Thierry Denœux, Didier Dubois, Henri Prade
    Pages 69-117
  4. Thierry Denœux, Didier Dubois, Henri Prade
    Pages 119-150
  5. Jean-François Condotta, Florence Le Ber, Gérard Ligozat, Louise Travé-Massuyès
    Pages 151-183
  6. Meghyn Bienvenu, Michel Leclère, Marie-Laure Mugnier, Marie-Christine Rousset
    Pages 185-215
  7. Souhila Kaci, Jérôme Lang, Patrice Perny
    Pages 217-252
  8. Frédéric Cuppens, Christophe Garion, Guillaume Piolle, Nora Cuppens-Boulahia
    Pages 253-274
  9. Didier Dubois, Henri Prade
    Pages 275-305
  10. Béatrice Fuchs, Jean Lieber, Laurent Miclet, Alain Mille, Amedeo Napoli, Henri Prade et al.
    Pages 307-339
  11. Antoine Cornuejols, Frédéric Koriche, Richard Nock
    Pages 341-388
  12. Olivier Buffet, Olivier Pietquin, Paul Weng
    Pages 389-414
  13. Leila Amgoud, Philippe Besnard, Claudette Cayrol, Philippe Chatalic, Marie-Christine Lagasquie-Schiex
    Pages 415-440
  14. Didier Dubois, Patricia Everaere, Sébastien Konieczny, Odile Papini
    Pages 441-485
  15. Florence Dupin de Saint-Cyr, Andreas Herzig, Jérôme Lang, Pierre Marquis
    Pages 487-518
  16. Christophe Gonzales, Patrice Perny
    Pages 519-548
  17. Christophe Gonzales, Patrice Perny
    Pages 549-586
  18. Sylvain Bouveret, Jérôme Lang, Michel Lemaître
    Pages 587-627
  19. Jonathan Ben-Naim, Dominique Longin, Emiliano Lorini
    Pages 629-650

About this book


The purpose of this book is to provide an overview of AI research, ranging from basic work to interfaces and applications, with as much emphasis on results as on current issues. It is aimed at an audience of master students and Ph.D. students, and can be of interest as well for researchers and engineers who want to know more about AI. The book is split into three volumes:

- the first volume brings together twenty-three chapters dealing with the foundations of knowledge representation and the formalization of reasoning and learning (Volume 1. Knowledge representation, reasoning and learning)

- the second volume offers a view of AI, in fourteen chapters, from the side of the algorithms (Volume 2. AI Algorithms)

- the third volume, composed of sixteen chapters, describes the main interfaces and applications of AI (Volume 3. Interfaces and applications of AI).

Implementing reasoning or decision making processes requires an appropriate representation of the pieces of information to be exploited. This first volume starts with a historical chapter sketching the slow emergence of building blocks of AI along centuries. Then the volume provides an organized overview of different logical, numerical, or graphical representation formalisms able to handle incomplete information, rules having exceptions, probabilistic and possibilistic uncertainty (and beyond), as well as taxonomies, time, space, preferences, norms, causality, and even trust and emotions among agents. Different types of reasoning, beyond classical deduction, are surveyed including nonmonotonic reasoning, belief revision, updating, information fusion, reasoning based on similarity (case-based, interpolative, or analogical), as well as reasoning about actions, reasoning about ontologies (description logics), argumentation, and negotiation or persuasion between agents. Three chapters deal with decision making, be it multiple criteria, collective, or under uncertainty. Two chapters cover statistical computational learning and reinforcement learning (other machine learning topics are covered in Volume 2). Chapters on diagnosis and supervision, validation and explanation, and knowledge base acquisition complete the volume.


Computational Intelligence Artificial Intelligence AI Overview Knowledge Representation Knowledge Reasoning

Editors and affiliations

  • Pierre Marquis
    • 1
  • Odile Papini
    • 2
  • Henri Prade
    • 3
  1. 1.CRIL-CNRS, Université d'Artois and Institut Universitaire de FranceLensFrance
  2. 2.Aix Marseille Université, Université de Toulon, CNRS, LISMarseilleFrance
  3. 3.IRITCNRS and Université Paul SabatierToulouseFrance

Bibliographic information