Search results for 'Henk A. Dijkstra' (try it on Scholar)

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  1. Joel Katzav, Henk A. Dijkstra & A. T. J. de Laat (2012). Assessing Climate Model Projections: State of the Art and Philosophical Reflections. Studies in History and Philosophy of Science Part B 43 (4):258-276.score: 320.0
    The present paper draws on climate science and the philosophy of science in order to evaluate climate-model-based approaches to assessing climate projections. We analyze the difficulties that arise in such assessment and outline criteria of adequacy for approaches to it. In addition, we offer a critical overview of the approaches used in the IPCC working group one fourth report, including the confidence building, Bayesian and likelihood approaches. Finally, we consider approaches that do not feature in the IPCC reports, including three (...)
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  2. Pieter Dijkstra, Floris Bex, Henry Prakken & Kees Vey Mestdagdeh (2005). Towards a Multi-Agent System for Regulated Information Exchange in Crime Investigations. Artificial Intelligence and Law 13 (1):133-151.score: 150.0
    This paper outlines a multi-agent architecture for regulated information exchange of crime investigation data between police forces. Interactions between police officers about information exchange are analysed as negotiation dialogues with embedded persuasion dialogues. An architecture is then proposed consisting of two agents, a requesting agent and a responding agent, and a communication language and protocol with which these agents can interact to promote optimal information exchange while respecting the law. Finally, dialogue policies are defined for the individual agents, specifying their (...)
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  3. Derek Partridge (1995). On the Difficulty of Really Considering a Radical Novelty. Minds and Machines 5 (3):391-410.score: 21.0
    The fundamental assumptions in Dijkstra''s influential article on computing science teaching are challenged. Dijkstra''s paper presents the radical novelties of computing, and the consequent problems that we must tackle through a formal, logic-based approach to program derivation. Dijkstra''s main premise is that the algorithmic programming paradigm is the only one, in fact, the only possible one. It is argued that there is at least one other, the network-programming paradigm, which itself is a radical novelty with respect to (...)
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  4. Dan Klein & Christopher D. Manning, Parsing and Hypergraphs.score: 12.0
    While symbolic parsers can be viewed as deduction systems, this view is less natural for probabilistic parsers. We present a view of parsing as directed hypergraph analysis which naturally covers both symbolic and probabilistic parsing. We illustrate the approach by showing how a dynamic extension of Dijkstra’s algorithm can be used to construct a probabilistic chart parser with an Ç´Ò¿µ time bound for arbitrary PCFGs, while preserving as much of the flexibility of symbolic chart parsers as allowed by the (...)
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  5. Christopher Manning, Parsing and Hypergraphs.score: 12.0
    While symbolic parsers can be viewed as deduction systems, this view is less natural for probabilistic parsers. We present a view of parsing as directed hypergraph analysis which naturally covers both symbolic and probabilistic parsing. We illustrate the approach by showing how a dynamic extension of Dijkstra’s algorithm can be used to construct a probabilistic chart parser with an Ç´Ò¿µ time bound for arbitrary PCFGs, while preserving as much of the flexibility of symbolic chart parsers as allowed by the (...)
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  6. Kalpesh Kapoor, Kamal Lodaya & Uday S. Reddy (2011). Fine-Grained Concurrency with Separation Logic. Journal of Philosophical Logic 40 (5):583-632.score: 12.0
    Reasoning about concurrent programs involves representing the information that concurrent processes manipulate disjoint portions of memory. In sophisticated applications, the division of memory between processes is not static. Through operations, processes can exchange the implied ownership of memory cells. In addition, processes can also share ownership of cells in a controlled fashion as long as they perform operations that do not interfere, e.g., they can concurrently read shared cells. Thus the traditional paradigm of distributed computing based on locations is replaced (...)
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