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Готові списки джерел за темами / Belief merging

Добірка наукової літератури з теми "Belief merging"

Автор: Grafiati

Опубліковано: 22 червня 2024

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Статті в журналах з теми "Belief merging":

1

Haret, Adrian, Martin Lackner, Andreas Pfandler, and Johannes P. Wallner. "Proportional Belief Merging." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 03 (April 3, 2020): 2822–29. http://dx.doi.org/10.1609/aaai.v34i03.5671.

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In this paper we introduce proportionality to belief merging. Belief merging is a framework for aggregating information presented in the form of propositional formulas, and it generalizes many aggregation models in social choice. In our analysis, two incompatible notions of proportionality emerge: one similar to standard notions of proportionality in social choice, the other more in tune with the logic-based merging setting. Since established merging operators meet neither of these proportionality requirements, we design new proportional belief merging operators. We analyze the proposed operators against established rationality postulates, finding that current approaches to proportionality from the field of social choice are, at their core, incompatible with standard rationality postulates in belief merging. We provide characterization results that explain the underlying conflict, and provide a complexity analysis of our novel operators.

2

Liberatore, Paolo. "Belief Merging by Examples." ACM Transactions on Computational Logic 17, no. 2 (March 28, 2016): 1–38. http://dx.doi.org/10.1145/2818645.

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3

Mata Díaz, Amílcar, and Ramón Pino Pérez. "Impossibility in belief merging." Artificial Intelligence 251 (October 2017): 1–34. http://dx.doi.org/10.1016/j.artint.2017.06.003.

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4

Aravanis, Theofanis I. "Collective Belief Revision." Journal of Artificial Intelligence Research 78 (December 29, 2023): 1221–47. http://dx.doi.org/10.1613/jair.1.15745.

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In this article, we study the dynamics of collective beliefs. As a first step, we formulate David Westlund’s Principle of Collective Change (PCC) —a criterion that characterizes the evolution of collective knowledge— in the realm of belief revision. Thereafter, we establish a number of unsatisfiability results pointing out that the widely-accepted revision operators of Alchourrón, Gärdenfors and Makinson, combined with fundamental types of merging operations —including the ones proposed by Konieczny and Pino Pérez as well as Baral et al.— collide with the PCC. These impossibility results essentially extend in the context of belief revision the negative results established by Westlund for the operations of contraction and expansion. At the opposite of the impossibility results, we also establish a number of satisfiability results, proving that, under certain (rather strict) requirements, the PCC is indeed respected for specific merging operators. Overall, it is argued that the PCC is a rather unsuitable property for characterizing the process of collective change. Last but not least, mainly in response to the unsatisfactory situation related to the PCC, we explore some alternative criteria of collective change, and evaluate their compliance with belief revision and belief merging.

5

Gauwin, O., S. Konieczny, and P. Marquis. "Conciliation through Iterated Belief Merging." Journal of Logic and Computation 17, no. 5 (October 1, 2007): 909–37. http://dx.doi.org/10.1093/logcom/exm047.

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6

Gabbay, D., O. Rodrigues, and G. Pigozzi. "Connections between Belief Revision, Belief Merging and Social Choice." Journal of Logic and Computation 19, no. 3 (May 21, 2009): 445–46. http://dx.doi.org/10.1093/logcom/exn013.

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7

Konieczny, Sébastien. "Belief base merging as a game." Journal of Applied Non-Classical Logics 14, no. 3 (January 2004): 275–94. http://dx.doi.org/10.3166/jancl.14.275-294.

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8

Tran, Trong Hieu, Quoc Bao Vo, and Thi Hong Khanh Nguyen. "On the Belief Merging by Negotiation." Procedia Computer Science 35 (2014): 147–55. http://dx.doi.org/10.1016/j.procs.2014.08.094.

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9

Schwind, Nicolas, Sébastien Konieczny, and Pierre Marquis. "Belief base rationalization for propositional merging." Journal of Logic and Computation 28, no. 7 (October 2018): 1601–34. http://dx.doi.org/10.1093/logcom/exy029.

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10

Ma, Jianbing, Weiru Liu, and Anthony Hunter. "Inducing Probability Distributions from Knowledge Bases with (In)dependence Relations." Proceedings of the AAAI Conference on Artificial Intelligence 24, no. 1 (July 3, 2010): 339–44. http://dx.doi.org/10.1609/aaai.v24i1.7588.

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When merging belief sets from different agents, the result is normally a consistent belief set in which the inconsistency between the original sources is not represented. As probability theory is widely used to represent uncertainty, an interesting question therefore is whether it is possible to induce a probability distribution when merging belief sets. To this end, we first propose two approaches to inducing a probability distribution on a set of possible worlds, by extending the principle of indifference on possible worlds. We then study how the (in)dependence relations between atoms can influence the probability distribution. We also propose a set of properties to regulate the merging of belief sets when a probability distribution is output. Furthermore, our merging operators satisfy the well known Konieczny and Pino-Perez postulates if we use the set of possible worlds which have the maximal induced probability values. Our study shows that taking an induced probability distribution as a merging result can better reflect uncertainty and inconsistency among the original knowledge bases.

Більше джерел

Дисертації з теми "Belief merging":

1

Lin, Qiuming. "Viewpoints consistency management using belief merging operators." Access electronically, 2004. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20041222.125858/index.html.

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2

Ma, Truong-Thanh. "Sur la fusion d'ontologies à domaine ouvert." Electronic Thesis or Diss., Artois, 2022. http://www.theses.fr/2022ARTO0406.

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Le sujet de la thèse est la fusion d'ontologies, une approche pour intégrer diverses sources d'ontologies en une seule qui gère les conflits émergents. Cette thèse s'inspire de la théorie de la fusion de croyances pour fusionner des ontologies afin de produire une base de connaissances cohérente et unifiée. Dans ce contexte, nous proposons trois contributions suivantes.Dans la première contribution, nous formalisons une nouvelle modèle de fusion basé sur la sémantique. Il s’agit d’une stratégie de fusion qui se concentre principalement sur la gestion des conflits sémantiques. Un conflit sémantique, qui n'est pas nécessairement logique, est une connaissance représentée de nombreuses manières différentes ou opposées. Nous proposons également une caractérisation formelle du modèle et nous montrons l'efficacité de la méthode à travers une évaluation expérimentale.La deuxième contribution propose une méthode permettant de fusionner les connaissances terminologiques d’un domaine ouvert. Elle se focalise sur RCC5 qui est un formalisme de représentation des régions dans un espace topologique. Ce formalisme permet également de raisonner sur leurs relations ensemblistes. De plus, nous proposons une traduction fidèle des connaissances terminologiques issues des sources conflictuelles dans les espaces régionaux. Ici, nous fusionnons les bases de connaissances dans ces espaces et nous traduisons le résultat vers la langue des sources d'entrée. Notre technique utilise l'expressivité et la flexibilité de RCC5 pour traiter des connaissances contradictoires.La dernière contribution est un cadre d'évaluation des opérateurs de fusion d'ontologies. La stratégie part d'une ontologie originale pour créer des ontologies bruitées en tant qu'ensembles de données et les utiliser afin d’évaluer les opérateurs de fusion. Finalement, nous analysons l'efficacité des opérateurs de fusion en termes de temps de calcul et leur capacité à couvrir l'ontologie d'origine. Enfin, nous mettons en œuvre une expérience avec des ontologies pratiques pour évaluer les opérateurs de fusion
The subject of the thesis is ontology merging, an approach for integrating various ontology sources into a unique one that handles emerging conflicts. This dissertation takes inspiration from the belief merging theory for merging ontologies to produce a consistent and unified knowledge base. We propose the three following contributions.The first one is a semantic-based merging approach. In particular, a model-based merging strategy mainly focuses on handling semantic conflicts. A semantic conflict, which is not necessarily logical, is knowledge represented in many different or opposite ways. We also propose a formal model characterization and show the method's effectiveness with an experimental evaluation.The second approach proposes a new framework to merge open-domain terminological knowledge. It leverages RCC5, a formalism for representing regions in a topological space and reasoning about their set-theoretic relationships. We propose a faithful translation of terminological knowledge from conflicting sources into region spaces. Here, we merge knowledge bases in this space and translate the outcome into the input sources' language. Our technique uses RCC5's expressivity and flexibility to deal with contradictory knowledge.The last contribution is a framework for evaluating ontology merging operators. The primary strategy starts with an original ontology to create noisy ontologies as datasets and use them to assess the merging operators. Then, we analyze merging operators' computation time effectiveness and ability to cover the original ontology. Finally, we experimented with practical ontologies to evaluate the merging operators

3

Zayrit, Karima. "Fusion de données imparfaites multi-sources : application à la spatialisation qualifiée des pratiques agricoles." Thesis, Reims, 2015. http://www.theses.fr/2015REIMS041/document.

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Notre thèse s'inscrit dans le cadre de la mise en place d'un observatoire des pratiques agricoles dans le bassin versant de la Vesle. L'objectif de ce système d'information agri-environnemental est de comprendre les pratiques responsables de la pollution de la ressource en eau par les pesticides d'origine agricole sur le territoire étudié et de fournir des outils pertinents et pérennes pour estimer leurs impacts. Notre problématique concerne la prise en compte de l'imperfection dans le processus de la fusion de données multi-sources et imparfaites. En effet, l'information sur les pratiques n'est pas exhaustive et ne fait pas l'objet d'une déclaration, il nous faut donc construire cette connaissance par l'utilisation conjointe de sources multiples et de qualités diverses en intégrant dans le système d'information la gestion de l'information imparfaite. Dans ce contexte, nous proposons des méthodes pour une reconstruction spatialisée des informations liées aux pratiques agricoles à partir de la télédétection, du RPG, d'enquêtes terrain et de dires d'experts, reconstruction qualifiée par une évaluation de la qualité de l'information. Par ailleurs, nous proposons une modélisation conceptuelle des entités agronomiques imparfaites du système d'information en nous appuyant sur UML et PERCEPTORY. Nous proposons ainsi des modèles de représentation de l'information imparfaite issues des différentes sources d'information à l'aide soit des ensembles flous, soit de la théorie des fonctions de croyance et nous intégrons ces modèles dans le calcul d'indicateurs agri-environnementaux tels que l'IFT et le QSA
Our thesis is part of a regional project aiming the development of a community environmental information system for agricultural practices in the watershed of the Vesle. The objective of this observatory is 1) to understand the practices of responsible of the water resource pollution by pesticides from agriculture in the study area and 2) to provide relevant and sustainable tools to estimate their impacts. Our open issue deals with the consideration of imperfection in the process of merging multiple sources and imperfect data. Indeed, information on practices is not exhaustive and is not subject to return, so we need to build this knowledge through the combination of multiple sources and of varying quality by integrating imperfect information management information in the system. In this context, we propose methods for spatial reconstruction of information related to agricultural practices from the RPG remote sensing, field surveys and expert opinions, skilled reconstruction with an assessment of the quality of the information. Furthermore, we propose a conceptual modeling of agronomic entities' imperfect information system building on UML and PERCEPTORY.We provide tools and models of representation of imperfect information from the various sources of information using fuzzy sets and the belief function theory and integrate these models into the computation of agri-environmental indicators such as TFI and ASQ

Книги з теми "Belief merging":

1

Sass, Louis A., and Elizabeth Pienkos. Delusion. Edited by K. W. M. Fulford, Martin Davies, Richard G. T. Gipps, George Graham, John Z. Sadler, Giovanni Stanghellini, and Tim Thornton. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199579563.013.0039.

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This chapter offers an overview of the phenomenological approach to delusions, emphasizing what Karl Jaspers called the "true delusions" of schizophrenia. Phenomenological psychopathology focuses on theexperienceof delusions and the delusional world. Several features of this approach are surveyed, including emphasis on formal qualities of subjective life (e.g., mutations of time, space, causality, self-experience, or sense of reality) and questioning of standard assumptions about delusions as erroneous belief (the traditional doxastic view, or "poor reality-testing" formula). The altered modalities of world-oriented and self-oriented experience that precede and ground delusions in schizophrenia, especially the experiences of revelation that Klaus Conrad termed the outer and innerapophany, are then discussed. The chapter first considers the famous "delusional mood" (feelings of strangeness and tension, and a sense of tantalizing yet ineffable meaning ), then the role of ipseity-disturbance (altered minimal or core self, of the basic, pre-reflective sense of existing as a unified and vitalsubjectof experience). In both cases it is explained how delusions can develop out of these distinctive alterations of perception and feeling. The classic question of the understandability or comprehensibility of schizophrenic delusion, together with the related issues of wish-fulfillment and rationalizing motives are then considered. The chapter addresses the crucial but neglected issue of the felt reality-status of delusions or the delusional world, discussing derealization, "double bookkeeping" (in which the patient experiences delusional reality as existing in a different ontological domain from everyday reality), and "double exposure" (merging of two perspectives on reality, with the potential for confusion this implies). The chapter concludes by discussing delusions typically found in paranoid and affective psychoses, and monothematic delusions found in certain organic conditions.

2

Bullock, Kim, and John J. Barry. Psychiatric Factors. Edited by Barbara A. Dworetzky and Gaston C. Baslet. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190265045.003.0003.

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Psychogenic nonepileptic seizures (PNES) is a multifactorial illness requiring a personalized biopsychosocial (BPS) formulation across the lifespan to understand its causes. This chapter reviews the current evidence focusing on predisposing, precipitating, perpetuating, and prognostic variables (4P’s), merging them into a chronologically based 4P-BPS model. Positive PNES randomized controlled trials suggest that self-efficacy and illness beliefs, avoidance behaviors, trigger sensitization, and comorbid psychiatric disorders are important etiological variables to target during treatment. Epidemiological and neurobiological research suggests that further treatment development focusing on the causal impact of trauma and affect dysregulation is lacking and is warranted going forward. The clinical implications for the evidence to date, as well as recommendations for translating current knowledge into therapeutic behaviors, are discussed.

Частини книг з теми "Belief merging":

1

Le, Thi Thanh Luu, and Trong Hieu Tran. "Belief Merging for Possibilistic Belief Bases." In Advanced Computational Methods for Knowledge Engineering, 370–80. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-38364-0_33.

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2

Viana, Henrique, and João Alcântara. "Sufficientarian Propositional Belief Merging." In Multi-Agent Systems and Agreement Technologies, 421–35. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59294-7_35.

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3

Georgatos, Konstantinos. "Graph-Based Belief Merging." In Logic, Rationality, and Interaction, 102–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-48561-3_9.

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4

Redl, Christoph, Thomas Eiter, and Thomas Krennwallner. "Declarative Belief Set Merging Using Merging Plans." In Practical Aspects of Declarative Languages, 99–114. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18378-2_10.

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5

Tran, Trong Hieu, Quoc Bao Vo, and Ryszard Kowalczyk. "Merging Belief Bases by Negotiation." In Knowledge-Based and Intelligent Information and Engineering Systems, 200–209. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23851-2_21.

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6

Cojan, Julien, and Jean Lieber. "Belief Merging-Based Case Combination." In Case-Based Reasoning Research and Development, 105–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02998-1_9.

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7

Pozos-Parra, Pilar, Laurent Perrussel, and Jean Marc Thevenin. "Belief Merging Using Normal Forms." In Advances in Artificial Intelligence, 40–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25324-9_4.

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8

Benferhat, Salem, Julien Hué, Sylvain Lagrue, and Julien Rossit. "Merging Interval-Based Possibilistic Belief Bases." In Lecture Notes in Computer Science, 447–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33362-0_34.

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9

Destercke, Sebastien, Didier Dubois, and Eric Chojnacki. "Cautious Conjunctive Merging of Belief Functions." In Lecture Notes in Computer Science, 332–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-75256-1_31.

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Nguyen, Thi Hong Khanh, Trong Hieu Tran, Tran Van Nguyen, and Thi Thanh Luu Le. "Merging Possibilistic Belief Bases by Argumentation." In Intelligent Information and Database Systems, 24–34. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54472-4_3.

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Тези доповідей конференцій з теми "Belief merging":

1

Everaere, Patricia, Chouaib Fellah, Sébastien Konieczny, and Ramón Pino Pérez. "Borda, Cancellation and Belief Merging." In 18th International Conference on Principles of Knowledge Representation and Reasoning {KR-2021}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/kr.2021/28.

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In this work, we explore the links between the Borda voting rule and belief merging operators. More precisely, we define two families of merging operators inspired by the definition of the Borda voting rule. We also introduce a notion of cancellation in belief merging, inspired by the axiomatization of the Borda voting rule proposed by Young. This allows us to provide a characterization of the drastic merging operator.

2

Aravanis, Theofanis. "Incorporating Belief Merging into Relevance-Sensitive Belief Structures." In PCI 2022: 26th Pan-Hellenic Conference on Informatics. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3575879.3575959.

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3

Everaere, Patricia, Chouaib Fellah, Sébastien Konieczny, and Ramón Pino Pérez. "Weighted Merging of Propositional Belief Bases." In 20th International Conference on Principles of Knowledge Representation and Reasoning {KR-2023}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/kr.2023/22.

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In standard propositional belief merging, one implicit assumption is that all sources have exactly the same importance. But there are many situations where the sources have different importance/reliability/expertise that have to be taken into account in the merging process. In this work we study the problem of weighted merging operators, which aimed to take these weights into account in a sensible way. We give a syntactical characterization of these operators, and then we state a representation theorem in terms of plausibility preorders on interpretations. We also propose a general method to build weighted distance-based merging operators, and provide some concrete examples, using two different weight functions.

4

Everaere, Patricia, Sebastien Konieczny, and Pierre Marquis. "Belief Merging Operators as Maximum Likelihood Estimators." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/244.

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We study how belief merging operators can be considered as maximum likelihood estimators, i.e., we assume that there exists a (unknown) true state of the world and that each agent participating in the merging process receives a noisy signal of it, characterized by a noise model. The objective is then to aggregate the agents' belief bases to make the best possible guess about the true state of the world. In this paper, some logical connections between the rationality postulates for belief merging (IC postulates) and simple conditions over the noise model under consideration are exhibited. These results provide a new justification for IC merging postulates. We also provide results for two specific natural noise models: the world swap noise and the atom swap noise, by identifying distance-based merging operators that are maximum likelihood estimators for these two noise models.

5

Mata Diaz, Amilcar, and Ramon Pino Perez. "Impossibility in Belief Merging (Extended Abstract)." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/799.

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With the aim of studying social properties of belief merging and having a better understanding of impossibility, we extend in three ways the framework of logic-based merging introduced by Konieczny and Pino Perez. First, at the level of representation of the information, we pass from belief bases to complex epistemic states. Second, the profiles are represented as functions of finite societies to the set of epistemic states (a sort of vectors) and not as multisets of epistemic states. Third, we extend the set of rational postulates in order to consider the epistemic versions of the classical postulates of social choice theory: standard domain, Pareto property, independence of irrelevant alternatives and absence of dictator. These epistemic versions of social postulates are given, essentially, in terms of the finite propositional logic. We state some representation theorems for these operators. These extensions and representation theorems allow us to establish an epistemic and very general version of Arrow's impossibility theorem. One of the interesting features of our result, is that it holds for different representations of epistemic states; for instance conditionals, ordinal conditional functions and, of course, total preorders.

6

Borja Macías, Verónica, and Pilar Pozos Parra. "Model-based belief merging without distance measures." In the 6th international joint conference. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1329125.1329312.

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7

Singleton, Joseph, and Richard Booth. "Who’s the Expert? On Multi-source Belief Change." In 19th International Conference on Principles of Knowledge Representation and Reasoning {KR-2022}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/kr.2022/33.

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Consider the following belief change/merging scenario. A group of information sources give a sequence of reports about the state of the world at various instances (e.g. different points in time). The true states at these instances are unknown to us. The sources have varying levels of expertise, also unknown to us, and may be knowledgeable on some topics but not others. This may cause sources to report false statements in areas they lack expertise. What should we believe on the basis of these reports? We provide a framework in which to explore this problem, based on an extension of propositional logic with expertise formulas. This extended language allows us to express beliefs about the state of the world at each instance, as well as beliefs about the expertise of each source. We propose several postulates, provide a couple of families of concrete operators, and analyse these operators with respect to the postulates.

8

Schwind, Nicolas, and Sébastien Konieczny. "Non-Prioritized Iterated Revision: Improvement via Incremental Belief Merging." In 17th International Conference on Principles of Knowledge Representation and Reasoning {KR-2020}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/kr.2020/76.

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In this work we define iterated change operators that do not obey the primacy of update principle. This kind of change is required in applications when the recency of the input formulae is not linked with their reliability/priority/weight. This can be translated by a commutativity postulate that asks the result of a sequence of changes to be the same whatever the order of the formulae of this sequence. Technically then we end up with a sequence of formulae that we have to combine in order to obtain a meaningful belief base. Belief merging operators are then natural candidates for this task. We show that we can define improvement operators using an incremental belief merging approach. We also show that these operators can not be encoded as simple preorders transformations, contrary to most iterated revision and improvement operators.

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Fischer, Johannes, Etienne Buhrle, Danial Kamran, and Christoph Stiller. "Guiding Belief Space Planning with Learned Models for Interactive Merging." In 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2022. http://dx.doi.org/10.1109/itsc55140.2022.9922488.

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Riegler, Erwin, Gunvor Elisabeth Kirkelund, Carles Navarro Manchon, and Bernard Henri Fleury. "Merging belief propagation and the mean field approximation: A free energy approach." In Iterative Information Processing (ISTC). IEEE, 2010. http://dx.doi.org/10.1109/istc.2010.5613851.

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