Advances In Logic Artificial Intelligence And Robotics


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Advances in Logic, Artificial Intelligence and Robotics


Advances in Logic, Artificial Intelligence and Robotics

Author: Jair Minoro Abe

language: en

Publisher: IOS Press

Release Date: 2002


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Logic (both Classical and Non-Classical) is being increasingly related with other fields in almost every scientific discipline and human activity. In this volume we have emphasized its role in the following fields of science: Artificial Intelligence, Robotics, Informatics in general, Technology, and correlated themes. The papers are written by some of the most prominent scientists of today.

Developments Of Artificial Intelligence Technologies In Computation And Robotics - Proceedings Of The 14th International Flins Conference (Flins 2020)


Developments Of Artificial Intelligence Technologies In Computation And Robotics - Proceedings Of The 14th International Flins Conference (Flins 2020)

Author: Zhong Li

language: en

Publisher: World Scientific

Release Date: 2020-08-04


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FLINS, an acronym introduced in 1994 and originally for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended into a well-established international research forum to advance the foundations and applications of computational intelligence for applied research in general and for complex engineering and decision support systems.The principal mission of FLINS is bridging the gap between machine intelligence and real complex systems via joint research between universities and international research institutions, encouraging interdisciplinary research and bringing multidiscipline researchers together.FLINS 2020 is the fourteenth in a series of conferences on computational intelligence systems.

Robot Intelligence


Robot Intelligence

Author: Honghai Liu

language: en

Publisher: Springer Science & Business Media

Release Date: 2010-08-05


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Robot intelligence has become a major focus of intelligent robotics. Recent innovation in computational intelligence including fuzzy learning, neural networks, evolutionary computation and classical Artificial Intelligence provides sufficient theoretical and experimental foundations for enabling robots to undertake a variety of tasks with reasonable performance. This book reflects the recent advances in the field from an advanced knowledge processing perspective; there have been attempts to solve knowledge based information explosion constraints by integrating computational intelligence in the robotics context.