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    Chapter and Conference Paper

    The Non-archimedean Polynomials and Merging of Stratified Knowledge Bases

    In this paper, a new algebraic representation by the non-Archimedean fields is proposed to model stratified/ranked knowledge bases. The non-Archimedean representation is in the form of the non-Archimedean poly...

    Jianbing Ma, Weiru Liu, Anthony Hunter in Symbolic and Quantitative Approaches to Re… (2009)

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    Chapter and Conference Paper

    Measuring the Ignorance and Degree of Satisfaction for Answering Queries in Imprecise Probabilistic Logic Programs

    In probabilistic logic programming, given a query, either a probability interval or a precise probability obtained by using the maximum entropy principle is returned for the query. The former can be noninforma...

    Anbu Yue, Weiru Liu, Anthony Hunter in Scalable Uncertainty Management (2008)

  3. Chapter and Conference Paper

    Elements of Argumentation

    Logic-based formalizations of argumentation, that take pros and cons for some claim into account, have been extensively studied, and some basic principles have been established (for reviews see [1-3]). These f...

    Anthony Hunter in Symbolic and Quantitative Approaches to Reasoning with Uncertainty (2007)

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    Chapter and Conference Paper

    Approaches to Constructing a Stratified Merged Knowledge Base

    Many merging operators have been proposed to merge either flat or stratified knowledge bases. The result of merging by such an operator is a flat base (or a set of models of the merged base) irrespective of wh...

    Anbu Yue, Weiru Liu, Anthony Hunter in Symbolic and Quantitative Approaches to Re… (2007)

  5. No Access

    Chapter and Conference Paper

    Incomplete Statistical Information Fusion and Its Application to Clinical Trials Data

    In medical clinical trials, overall trial results are highlighted in the abstracts of papers/reports. These results are summaries of underlying statistical analysis where most of the time normal distributions are...

    Jianbing Ma, Weiru Liu, Anthony Hunter in Scalable Uncertainty Management (2007)

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    Book

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    Chapter and Conference Paper

    Measuring the Quality of Uncertain Information Using Possibilistic Logic

    In previous papers, we have presented a framework for merging structured information in XML involving uncertainty in the form of probabilities, degrees of beliefs and necessity measures [HL04,HL05a,HL05b]. In ...

    Anthony Hunter, Weiru Liu in Symbolic and Quantitative Approaches to Re… (2005)

  8. No Access

    Chapter

    Introduction to Inconsistency Tolerance

    Inconsistency arises in many areas in advanced computing. Examples include: Merging information from heterogeneous sources; Negotiation in multi-agent systems; Understanding natural language dialogues; and Com...

    Leopoldo Bertossi, Anthony Hunter, Torsten Schaub in Inconsistency Tolerance (2005)

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    Chapter

    Approaches to Measuring Inconsistent Information

    Measures of quantity of information have been studied extensively for more than fifty years. The seminal work on information theory is by Shannon [67]. This work, based on probability theory, can be used in a ...

    Anthony Hunter, Sébastien Konieczny in Inconsistency Tolerance (2005)

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    Chapter and Conference Paper

    Propositional Fusion Rules

    In previous papers, we have presented a logic-based framework for merging structured news reports [14,16,15]. Structured news reports are XML documents, where the text entries are restricted to individual word...

    Anthony Hunter, Rupert Summerton in Symbolic and Quantitative Approaches to Re… (2003)

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    Chapter and Conference Paper

    Probable Consistency Checking for Sets of Propositional Clauses

    Inconsistencies inevitably arise in knowledge during practical reasoning. In a logic-based approach, this gives rise to the need for consistency checking. Unfortunately, this can be difficult. In classical pro...

    Anthony Hunter in Symbolic and Quantitative Approaches to Reasoning with Uncertainty (2003)

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    Chapter and Conference Paper

    A Semantic Tableau Version of First-Order Quasi-Classical Logic

    Quasi-classical logic (QC logic) allows the derivation of non-trivial classical inferences from inconsistent information. A paraconsis-ent, or non-trivializable, logic is, by necessity, a compromise, or weaken...

    Anthony Hunter in Symbolic and Quantitative Approaches to Reasoning with Uncertainty (2001)

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    Book and Conference Proceedings

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    Book

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    Chapter

    Introduction to uncertainty formalisms

    The heterogeneity of uncertainty in the real-world has driven the development of a wide variety of formal approaches to representing and reasoning with uncertainty in knowledge. There is now a shift to analysi...

    Anthony Hunter, Simon Parsons in Applications of Uncertainty Formalisms (1998)

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    Chapter

    A Review of Uncertainty Handling Formalisms

    Many different formal techniques, both numerical and symbolic, have been developed over the past two decades for dealing with incomplete and uncertain information. In this paper we review some of the most impo...

    Simon Parsons, Anthony Hunter in Applications of Uncertainty Formalisms (1998)

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    Chapter and Conference Paper

    Information fusion in logic: A brief overview

    Information fusion is the process of deriving a single consistent knowledgebase from multiple knowledgebases. This process is important in many cognitive tasks such as decision-making, planning, design, and sp...

    Laurence Cholvy, Anthony Hunter in Qualitative and Quantitative Practical Reasoning (1997)

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    Chapter and Conference Paper

    Using default logic for lexical knowledge

    Lexical knowledge is knowledge about the morphology, grammar, and semantics of words. This knowledge is increasingly important in language engineering, and more generally in information retrieval, information ...

    Anthony Hunter in Qualitative and Quantitative Practical Reasoning (1997)

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    Chapter and Conference Paper

    Quasi-classical logic: Non-trivializable classical reasoning from inconsistent information

    Here we present a new paraconsistent logic, called quasi-classical logic (or QC logic) that allows the derivation of non-trivializable classical inferences. For this it is necessary that queries are in conjunc...

    Philippe Besnard, Anthony Hunter in Symbolic and Quantitative Approaches to Re… (1995)

  20. No Access

    Chapter and Conference Paper

    Using default logic in information retrieval

    Information retrieval involves uncertainty. In an information system, the user is not certain about the contents of the information system, and the system is not certain about the users needs. Information retr...

    Anthony Hunter in Symbolic and Quantitative Approaches to Reasoning and Uncertainty (1995)

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