Riassunto:
Although there has been much progress in developing theories, models and systems in the areas of Natural Language Processing (N.L.P.) and Vision Processing (V.P.), there has heretofore been little progress on integrating these two subareas of Artificial Int
Contenuti:
Preface. Ongoing Research Projects at the Institute for the Learning Sciences; R.C. Schank, A. Fano. A Logical Approach in Representing and Reasoning about Space; A.G. Cohn, et al. Memory and Expectations in Learning, Language, and Visual Understanding; R.C. Schank, A. Fano. Language, Vision and Metaphor; Y. Wilks. Language and Vision: A Single Perceptual Mechanism? D. Partridge. Sandy Ideas and Coloured Days: Some Computational Implications of Embodiment; R.G. Reilly. A Comparison of Models for Fusion of the Auditory and Visual Sensors in Speech Perception; J. Robert-Ribes, et al. Visible Speech Improves Human Language Understanding: Implications for Speech Processing Systems; L.A. Thompson, W.C. Ogden. Work on the Integration of Language and Vision at the University of Torino; D. Marconi. On the Referential Competence of Some Machines; D. Marconi. Understanding Language through Vision; C. Meini, A. Paternoster. From Chinese Rooms to Irish Rooms: New Words on Visions for Language; P. Mc Kevitt, Chengming Guo. Grounding Computational Engines; S.A. Jackson, N.E. Sharkey. Lo - Automated Language Acquisition Project; J. Feldman, et al. Grounding Symbols into Perceptions; A. Grumbach. Book Reviews: Andy Clark, A Pragmatic Review of Associative Engines: Connectionism, Concepts, and Representational Change; M. Lee, P. Mc Kevitt. Walter Van de Velde, Toward Learning Robots; J. Neary.
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