Synopsis
In recent years, there has been a proliferation of technological developments that incorporate processing of human language. Hardware and software can be specialized for designated subject areas, and computational devices are designed for a widening variety of applications. At the same time, new areas and applications are emerging by demanding intelligent technology enhanced by the processing of human language. These new applications often perform tasks which handle information, and they have a capacity to reason, using both formal and human language. Many sub-areas of Artificial Intelligence demand integration of Natural Language Processing, at least to some degree. Furthermore, technologies require coverage of known as well as unknown agents, and tasks with potential variations. All of this takes place in environments with unknown factors. The book covers theoretical work, advanced applications, approaches, and techniques for computational models of information, reasoning systems, and presentation in language. The book promotes work on intelligent natural language processing and related models of information, thought, reasoning, and other cognitive processes. The topics covered by the chapters prompt further research and developments of advanced systems in the areas of logic, computability, computational linguistics, cognitive science, neuroscience of language, robotics, and artificial intelligence, among others.
À propos de l?auteur
Henning Christiansen is Full Professor of Computer Science at Roskilde University, Denmark. He obtained his master’s degree from Aarhus University, Denmark, in 1981 and his PhD from Roskilde University in 1988. His main interests include programming techniques, artificial intelligence, logic and constraint programming, abductive reasoning and language analysis. Recent interests include interactive installations for presentation of art and robots in performative contexts. M. Dolores Jiménez-López is an Associate Professor at Universitat Rovira i Virgili, Spain, and holds a PhD degree in Linguistics. She worked as a pre-doctoral fellow at the MTA SZTAKI of the Hungarian Academy of Sciences in Budapest, and her post-doctoral training included a three-year stay at the University of Pisa, Italy. Her research focuses on the application of formal models to natural language analysis. Roussanka Loukanova is currently a Researcher at the Department of Mathematics at Stockholm University, Sweden. She holds Master’s degrees in Mathematics and Computer Science from Sofia University, Bulgaria, and Indiana University Bloomington, USA, and a PhD in Mathematics from Moscow State University. Her research areas include type theory of situated information, type theory of algorithms, computational syntax and generalized computational grammar. Larry Moss obtained his PhD from the University of California, USA, in 1984, and he currently works at Indiana University, USA, where he is the Director of Graduate Studies in Cognitive Science and Professor of Mathematics. His previous places of work include the Center for the Study of Language and Information, at Stanford University, USA.
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