WorldCat Identities

Papini, Odile

Overview
Works: 43 works in 106 publications in 3 languages and 2,559 library holdings
Genres: Conference papers and proceedings 
Roles: Editor, Author, Publishing director, Thesis advisor, htt, Other, Opponent
Classifications: QA268, 006.3
Publication Timeline
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Most widely held works by Odile Papini
Algorithmes Pour l'intelligence Artificielle by Pierre Marquis( )

1 edition published in 2014 in French and held by 444 WorldCat member libraries worldwide

Représentation des Connaissances et Formalisation des Raisonnements by Pierre Marquis( )

1 edition published in 2014 in French and held by 439 WorldCat member libraries worldwide

L'I.A. Frontières et Applications by Pierre Marquis( )

1 edition published in 2014 in French and held by 439 WorldCat member libraries worldwide

Symbolic and quantitative approaches to reasoning with uncertainty : 14th European Conference, ECSQARU 2017, Lugano, Switzerland, July 10-14, 2017, proceedings by ECSQARU( )

8 editions published in 2017 in English and held by 261 WorldCat member libraries worldwide

This book constitutes the refereed proceedings of the 14th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2017, held in Lugano, Switzerland, in July 2017. The 44 revised full papers presented together with 5 abstracts of invited talks were carefully reviewed and selected from 63 submissions and cover topics on analogical reasoning; argumentation; Bayesian networks; belief functions; conditionals; credal sets, credal networks; decision theory, decision making and reasoning under uncertainty; fuzzy sets, fuzzy logic; logics; orthopairs; possibilistic networks; and probabilistic logics, probabilistic reasoning
A guided tour of artificial intelligence research by Pierre Marquis( )

9 editions published in 2020 in English and held by 126 WorldCat member libraries worldwide

La 4ème de couverture indique : "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."
A guided tour of artificial intelligence research by Pierre Marquis( )

8 editions published in 2020 in English and held by 126 WorldCat member libraries worldwide

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). This third volume is dedicated to the interfaces of AI with various fields, with which strong links exist either at the methodological or at the applicative levels. The foreword of this volume reminds us that AI was born for a large part from cybernetics. Chapters are devoted to disciplines that are historically sisters of AI: natural language processing, pattern recognition and computer vision, and robotics. Also close and complementary to AI due to their direct links with information are databases, the semantic web, information retrieval and human-computer interaction. All these disciplines are privileged places for applications of AI methods. This is also the case for bioinformatics, biological modeling and computational neurosciences. The developments of AI have also led to a dialogue with theoretical computer science in particular regarding computability and complexity. Besides, AI research and findings have renewed philosophical and epistemological questions, while their cognitive validity raises questions to psychology. The volume also discusses some of the interactions between science and artistic creation in literature and in music. Lastly, an epilogue concludes the three volumes of this Guided Tour of AI Research by providing an overview of what has been achieved by AI, emphasizing AI as a science, and not just as an innovative technology, and trying to dispel some misunderstandings
A guided tour of artificial intelligence research by Pierre Marquis( )

8 editions published in 2020 in English and held by 126 WorldCat member libraries worldwide

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). This second volume presents the main families of algorithms developed or used in AI to learn, to infer, to decide. Generic approaches to problem solving are presented: ordered heuristic search, as well as metaheuristics are considered. Algorithms for processing logic-based representations of various types (first-order formulae, propositional formulae, logic programs, etc.) and graphical models of various types (standard constraint networks, valued ones, Bayes nets, Markov random fields, etc.) are presented. The volume also focuses on algorithms which have been developed to simulate specific 'intelligent" processes such as planning, playing, learning, and extracting knowledge from data. Finally, an afterword draws a parallel between algorithmic problems in operation research and in AI
L'intelligence artificielle frontières et applications( Book )

3 editions published in 2014 in French and held by 85 WorldCat member libraries worldwide

La quatrième de couverture indique : "L'IA est d'une certaine manière au coeur des sciences du traitement de l'information. Ce troisième volume a pour objet l'examen des interfaces de l'IA avec différents champs de recherche de l'informatique, tant théorique qu'appliquée, comme les bases de données, le web sémantique, la linguistique computationnelle, la bio-informatique, la reconnaissance des formes, le traitement d'images, la robotique, ou la communication homme-machine. Des chapitres sont également consacrés aux questions philosophiques, en particulier épistémologiques, liées à l'IA, ainsi qu'à la psychologie cognitive en matière de raisonnement et de décision. Une postface propose le regard d'un témoin de l'IA à ses débuts sur les résultats de plus de cinquante années de recherche. Enfin, un épilogue clôture les trois volumes de l'ouvrage, sous la forme d'un plaidoyer pour la recherche en IA."
Algèbre discrète et codes correcteurs by Odile Papini( Book )

3 editions published in 1995 in French and Undetermined and held by 84 WorldCat member libraries worldwide

Algorithmes pour l'intelligence artificielle( Book )

1 edition published in 2014 in French and held by 77 WorldCat member libraries worldwide

"Ce deuxième volume présente les principales familles d'algorithmes développés ou utilisés en IA pour apprendre, inférer, décider. Des approches génériques pour la résolution de problèmes y sont présentées : la recherche heuristique ordonnée, particulièrement utile pour aborder certains jeux, ainsi que les métaheuristiques. Les problèmes de satisfaction de contraintes, éventuellemnt flexibles, complètent l'éventail de ces méthodes. Le traitement des représentations liées à la logique requiert des algorithmes spécialisés, qu'il s'agisse de déduction automatique, de satisfaisabilité d'ensembles de propositions, ou encore de programmation logique. Ils sont aussi présentés dans ce volume. L'algorithmique des modèles graphiques de représentation, en particulier celle des réseaux de type bayésien, ainsi que le développement d'algorithmes pour la planification ou l'apprentissage automatique sont également abordés. La postface dresse un parallèle entre les problématiques algorithmiques en recherche opérationnelle et en intelligence artificielle." (source : 4ème de couv.)
Représentation des connaissances et formalisation des raisonnements( Book )

1 edition published in 2014 in French and held by 76 WorldCat member libraries worldwide

La 4e de couverture indique : "Pour simuler sur un ordinateur un processus de raisonnement ou de prise de décision, il faut disposer d'une représentation de l'information à exploiter. Débutant par un chapitre retraçant la longue histoire de l'émergence de l'IA, ce premier volume passe ensuite en revue différents cadres de représentation, logiques, quantitatifs, ou graphiques, susceptibles de prendre en compte l'information incomplète, les exceptions, l'incertitude, le temps, l'espace, les préférences, les taxonomies, les normes, les émotions, ou encore la confiance entre agents. L'examen de différents types de raisonnement à base de similarité, et l'étude de nombreuses problématiques autour de la description des actions et de leurs conséquences, de l'argumentation, de la décision, du diagnostic, de la révision des croyances, de la fusion des informations, de l'interaction entre agents, de l'apprentissage, de l'acquisition et de la validation de bases de connaissances, complètent ce volume."
A guided tour of artificial intelligence research : Volume III: Interfaces and applications of artificial intelligence by Pierre Marquis( )

6 editions published in 2020 in English and held by 60 WorldCat member libraries worldwide

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
Raisonnements sur l'espace et le temps : des modèles aux applications( Book )

2 editions published in 2007 in French and held by 59 WorldCat member libraries worldwide

Algèbre discrète et codes correcteurs by Odile Papini( Book )

7 editions published in 1995 in 3 languages and held by 56 WorldCat member libraries worldwide

Methods for handling imperfect spatial information by Robert Jeansoulin( )

11 editions published between 2010 and 2013 in English and held by 46 WorldCat member libraries worldwide

Spatial information is pervaded by uncertainty. Indeed, geographical data is often obtained by an imperfect interpretation of remote sensing images, while people attach ill-defined or ambiguous labels to places and their properties. As another example, medical images are often the result of measurements by imprecise sensors (e.g. MRI scans). Moreover, by processing spatial information in real-world applications, additional uncertainty is introduced, e.g. due to the use of interpolation/extrapolation techniques or to conflicts that are detected in an information fusion step. To the best of our knowledge, this book presents the first overview of spatial uncertainty which goes beyond the setting of geographical information systems. Uncertainty issues are especially addressed from a representation and reasoning point of view. In particular, the book consists of 14 chapters, which are clustered around three central topics. The first of these topics is about the uncertainty in meaning of linguistic descriptions of spatial scenes. Second, the issue of reasoning about spatial relations and dealing with inconsistency in information merging is studied. Finally, interpolation and prediction of spatial phenomena are investigated, both at the methodological level and from an application-oriented perspective. The concept of uncertainty by itself is understood in a broad sense, including both quantitative and more qualitative approaches, dealing with variability, epistemic uncertainty, as well as with vagueness of terms
Panorama de l'intelligence artificielle : ses bases méthodologiques, ses développements( )

4 editions published in 2014 in French and held by 13 WorldCat member libraries worldwide

Fusion de connaissances : applications aux relevés photogrammétriques de fouilles archéologiques sous-marines by Julien Seinturier( Book )

2 editions published in 2007 in French and held by 3 WorldCat member libraries worldwide

This work propose a study of the knowledge fusion and its applications in the survey of underwater archaeological excavations. Our framework is the knowledge based measure, which can be represented by a synthesis between theoretical models designed by specific domain experts and set of observations performed on surveyed objects. During the study of an archaeological site, surveys can be made by different operators and at different times. This multiplication of observations can lead lo inconsistencies during the aggregation of the partial results. The building of a final result requires a fusion process piloted by the leader of the study. Such process must be automated while leaving to the operator the choice of the methods used to ensure the final consistency. This work is divided into three parts: a theoretical study of the known methods for knowledge fusion, the implementation of fusion methods as part of the knowledge based measurement and experimentation of proposed solutions during surveys in full-scale applications. In the first part, we present a theoretical study of known belief fusion methods and we propose a new framework allowing to express these methods at a semantic and syntactic level while adding it a reversibility. This framework is based on polynomials weights that allow to represent priorities between believes and history of the changes of these priorities. In the second pan. we present knowledge based measurement by representing a formalism of representation based on entity notion. We propose then adapted technics of fusion in the new representation. These technics are based on first order logic. Algorithms effusion are proposed and studied. In the last part, we introduce experimentation of techniques of proposed fusion methods. We offer a description of the developed tools used as pan of plan European VENUS (http://www.venus-project.eu) but also their extensions to building archaeology and in underwater biology
Fusion de bases de croyances et programmation logique avec sémantique des modèles stables by Julien Hué( Book )

2 editions published in 2009 in French and held by 3 WorldCat member libraries worldwide

Representation of knowledge is a central aspect in artificial intelligence. Decisions of an intelligent agent must rely on informations which represent the world as correctly as possible. This difficulty to have a correct representation of the world is particularly important when dealing with a changing world of information from multiple sources. In this thesis, we propose a method to perform syntactic merging in the case where no explicit priorities are expressed. This method, called Removed Sets Fusion (or RSF), is based on the search of subsets of formulas to remove to restore consistency. We performed an implementation of this method based on the translation of the fusion problem into a logic program with stable model semantics. We propose two different implementations: an adaptation of the smodels algorithm and another implementation based on the additional statements provided by Lparse/Gringo. We tested this last implementation: thanks to randomly generated belief profile and, in a second time thanks to the data from archeological survey coming from the European project VENUS. We then extended the Removed Sets Fusion in two directions. We study merging in the case where priorities are expressed between agents or between agents and beliefs. We also study the case were beliefs are expressed in terms of logic programs
Algorithmes pour l'intelligence artificielle( Book )

1 edition published in 2014 in French and held by 3 WorldCat member libraries worldwide

Panorama de l'intelligence artificielle : ses bases méthodologiques, ses développements by Pierre Marquis( )

1 edition published in 2014 in French and held by 3 WorldCat member libraries worldwide

 
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WorldCat IdentitiesRelated Identities
Algèbre discrète et codes correcteurs Algèbre discrète et codes correcteurs
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Algèbre discrète et codes correcteursMethods for handling imperfect spatial information
Alternative Names
Papini, O.

Papini, O. (Odile)

Languages
English (51)

French (27)

German (1)