Modeling and Using Context （语境建模与应用）

The LNAI series reports state-of-the-art results in artificial intelligence re-search， development， and education， at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community， with numerous individuals， as well as with prestigious organizations and societies，LNAI has grown into the most comprehensive artificial intelligence research forum available.
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This book constitutes the reviewed proceedings of the Third International Conference on Modeling and Using Context, CONTEXT 2001, held in Dundee, UK in July 2001.The 30 full papers and 15 short papers presented were carefully reviewed, selected, and revised for inclusion in the proceedings. The papers presented deal with the interdisciplinary topic of modeling and using contextual information from various points of view, ranging through cognitive science, formal logic, artificial intelligence and information processing. Highly general philosophical and logical theories are complemented by specific applications in a variety of fields.

Full Papers
Trade-offs Between inductive Power and logical omniscience in modeling context
Uncertainty and conflict handling in the ATT-Meta context-based system for metaphorical reasoning
WordSieve: a method for real-time context extraction
Pragmatic reasoning: Pragmatic semantics and semantic pragmatics
On the dimensions of context dependence: partiality, approximation, and perspective
Context of utterance and intended context
Two formalizations of context: a comparison
Consider the alternatives: focus in contrast and context
Context in the study of human languages and computer programming languages: a comparison
Modeling context effect in perceptual domains
Learning appropriate contexts
Context and relevance: a pragmatic approach
Counterfactual reasoning
Context-based ambiguity management for natural language processing
A connectionist-symbolic approach to modeling agent behavior: neural networks grouped by contexts
Context dependency of pattern-category learning
Simulating context effects in problem solving with AMBR
A new method based on context for combining statistical language models
Experimental pragmatics: towards testing relevance-based predictions about anaphoric bridging inferences
Workflow context as ameans for intelligent information support
The role and modeling of context in a cognitive model of Roger's person-centred approach
Local holism
Whom is the problem of the essential indexical a problem for?
Contextual categorization and cognitive phenomena
Representing the graphics context to support und erstanding plural anaphora in multi-modal interfaces
Using explicit, a priori contextual knowledge in an intelligent web search agent
Contexts and the philosophical problems of knowledge
Practical context transformation for information system interoperability
Explanation as contextual
Contextual categorization: a mechanism linking perception and knowledge in modeling and simulating perceived events as actions
Short Papers
Author Index