The 2003 International Symposium on Collaborative Technologies and Systems (CTS’03)
Fusion of Language and Thought Processes for Collaborative Technologies and Systems
Leonid I. Perlovsky
Air Force Research Laboratory
Collaborative systems include multiple interacting agents. An agent is a human, machine, device or software code; agents are significantly autonomous and goal-oriented, perform various functions, and communicate with other agents. An agent is equipped with sensors or collects data, receives communications, extracts information using existing knowledge, integrates this information into producing new knowledge, sends communications; these functions of agents in collaborative systems embody the concept of life and intelligence. Collaborative technologies require man-machine and machine-machine interfaces, knowledge and data access, understanding of language, understanding of situations and environment, combining knowledge and data from diverse sources and disciplines, decision making. This implies knowledge management, ability to make decisions in heterogeneous environment, with inaccurate data, uncertain knowledge and intuitions, information exchange, in other words, abilities for thinking and language.
Computational techniques for thinking and language are far from matching human abilities. We summarize the working of the mind and language emphasizing possible computational approaches. This includes concepts, understanding, thinking, emotions, instincts, adaptation and learning, behavior, language ability, signs and symbols. I discuss behavior of collaboration with emphasis on fusion of language and thinking in the mind. The talk briefly reviews the history of the development of computational approaches to intelligence including pattern recognition, artificial intelligence, neural networks, knowledge and model based systems, evolutionary computation, hetero-hierarchical organization, modeling field theory (MFT, developed by the author) and computational linguistics. Advantages and disadvantages of various approaches are compared. MFT is described in some details emphasizing possible approaches to fusion of thinking and language for CTS.
Dr. Leonid Perlovsky
is Technical Advisor at Air Force Research Lab/SNHE. Previously, from 1985 to 1999, he served as
Chief Scientist at Nichols Research leading the corporate research, in
information science, intelligent systems, sensor fusion, and algorithm
development. He participated as a
principal in commercial startups developing tools for text understanding,
biotechnology, and financial predictions. He published about 50 papers in refereed
scientific journals and about 100 papers in conferences, organized
academic/engineering conferences and authored a book "Neural Networks and
Intellect: model-based concepts", Oxford University Press, 2001. He also served as professor at