Integration of Natural Language and Vision Processing: Theory and Grounding Representations Volume III by Paul Mc Kevitt
Although there has been much progress in developing theories, models and systems in the areas of Natural Language Processing (NLP) and Vision Processing (VP), there has heretofore been little progress on integrating these two subareas of Artificial Intelligence (AI). This book contains a set of edited papers addressing theoretical issues and the grounding of representations in NLP and VP from philosophical and psychological points of view. The papers focus on site descriptions such as the reasoning work on space at Leeds, UK, the systems work of the ILS (Illinois, U.S.A.) and philosophical work on grounding at Torino, Italy, on Schank's earlier work on pragmatics and meaning incorporated into hypermedia teaching systems, Wilks' visions on metaphor, on experimental data for how people fuse language and vision and theories and computational models, mainly connectionist, for tackling Searle's Chinese Room Problem and Harnad's Symbol Grounding Problem. The Irish Room is introduced as a mechanism through which integration solves the Chinese Room. The U.S.A., China and the EU are well reflected, showing the fact that integration is a truly international issue. There is no doubt that all of this will be necessary for the SuperInformationHighways of the future.
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.