From Computing with Numbers to Computing with Words
@article{Zadeh2001FromCW, title={From Computing with Numbers to Computing with Words}, author={Lotfi A. Zadeh}, journal={Annals of the New York Academy of Sciences}, year={2001}, volume={929} }
Abstract: Interest in issues relating to consciousness has grown markedly during the last several years. And yet, nobody can claim that consciousness is a well‐understood concept that lends itself to precise analysis. It may be argued that, as a concept, consciousness is much too complex to fit into the conceptual structure of existing theories based on Aristotelian logic and probability theory.
172 Citations
Brain-inspired systems and predicative competence
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This work presents a brain-inspired geometric-logical scheme defining fundamental human linguistic and predicative competence, which may provide even a concrete opportunity for the foundation of computational psychiatry and for reformulating psychoanalytical theory in a sharable way.
Computing with words via Turing machines: a formal approach
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Summarily formal aspect of CW is more systematically established more deeply dealt with while some new problems also emerge.
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Cognitive Informatics and Cognitive Computing in Year 10 and Beyond
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A set of nine position statements presented in the plenary panel of IEEE ICCI*CC'11 on Cognitive Informatics in Year 10 and Beyond contributed from invited panelists who are part of the world's renowned researchers and scholars in the field of cognitive informatics and cognitive computing.
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"Animals and humans use their finite brains to comprehend and adapt to an infinitely complex environment." The human brain is at least a factor of 1 billion more efficient than our present digital…
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This paper reports a set of nine position statements presented in the plenary panel of IEEE ICCI*CC'11 on Cognitive Informatics in Year 10 and Beyond contributed from invited panelists who are part of the world's renowned researchers and scholars in the field of cognitive informatics and cognitive computing.
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To acquire new knowledge on multiscale system uncertainty management, three specific interpretations of the Heisenberg Uncertainty Principle are presented and discussed, even at macroscale level.
PNL Applied to Economics
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This work is a continuation of Zadeh's research on precisiated natural language and the improved process of PNL is presented using a real world example from economics.
On understanding understanding. Perception-based processing of NL texts in SCIP systems, or meaning constitution as visualized learning
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An experimental 2-dim scenario with object locations described relative to a mobile agent's varying positions allows to test the SCIP systems' performance against human natural language understanding in a controlled way.
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