WirawitChaochaisit and MihaiNadin: Difference between pages
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Mihai Nadin's interests and professional life combine engineering, mathematics, digital technology, semiotics, mind theory, and anticipatory systems. He holds advanced degrees in Electrical Engineering and Computer Science and a post-doctoral degree in Philosophy, Logic and the Theory of Science. Since 1985, his research has focused on anticipation/anticipatory systems. His book Mind – Anticipation and Chaos (1991) advanced a dynamic systems perspective of anticipatory processes. Research in dynamic systems at Stanford University and UC–Berkeley led Nadin to further probe anticipatory systems: “Anticipation – A Spooky Computation,” “Anticipating Extreme Events: the need for faster-than-real-time models,” and the book, Anticipation – The End Is Where We Start From (which set a foundation for the field in lay terms). He established the Institute for Research in Anticipatory Systems (2002) as a research, “think tank”, and consulting entity (for technical innovation, business, policy development, game-based simulations, medicine). It became part of the University of Texas at Dallas (2004), when Dr. Nadin accepted its invitation to become Ashbel Smith University Professor. Recent publications on anticipation include: Quantifying Anticipatory Characteristics (2013); The Intractable and the Undecidable – Computation and Anticipatory Processes (2013); G-Complexity, Quantum Computation and Anticipatory Processes (2014), Can Predictive Computation Reach the Level of Anticipatory Computing? (2015). He was named Honorary Fellow of the Hanse Institute for Advanced Study (Germany), where he initiated Anticipation Across Disciplines. This study group (with support from the Thyssen Foundation and the German Science Foundation/DFG) organized two international conferences in 2014. The third, “Anticipation and Medicine,” will take place in September 2015). | |||
Ontology is an implicit subject of his research. | |||
For more information, see | |||
http://www.nadin.ws/ | |||
http://www.anteinstitute.org | |||
http://www.nadin.ws/ante-study/ | |||
Latest revision as of 10:11, 25 June 2015
Mihai Nadin
Mihai Nadin's interests and professional life combine engineering, mathematics, digital technology, semiotics, mind theory, and anticipatory systems. He holds advanced degrees in Electrical Engineering and Computer Science and a post-doctoral degree in Philosophy, Logic and the Theory of Science. Since 1985, his research has focused on anticipation/anticipatory systems. His book Mind – Anticipation and Chaos (1991) advanced a dynamic systems perspective of anticipatory processes. Research in dynamic systems at Stanford University and UC–Berkeley led Nadin to further probe anticipatory systems: “Anticipation – A Spooky Computation,” “Anticipating Extreme Events: the need for faster-than-real-time models,” and the book, Anticipation – The End Is Where We Start From (which set a foundation for the field in lay terms). He established the Institute for Research in Anticipatory Systems (2002) as a research, “think tank”, and consulting entity (for technical innovation, business, policy development, game-based simulations, medicine). It became part of the University of Texas at Dallas (2004), when Dr. Nadin accepted its invitation to become Ashbel Smith University Professor. Recent publications on anticipation include: Quantifying Anticipatory Characteristics (2013); The Intractable and the Undecidable – Computation and Anticipatory Processes (2013); G-Complexity, Quantum Computation and Anticipatory Processes (2014), Can Predictive Computation Reach the Level of Anticipatory Computing? (2015). He was named Honorary Fellow of the Hanse Institute for Advanced Study (Germany), where he initiated Anticipation Across Disciplines. This study group (with support from the Thyssen Foundation and the German Science Foundation/DFG) organized two international conferences in 2014. The third, “Anticipation and Medicine,” will take place in September 2015).
Ontology is an implicit subject of his research.
For more information, see