Previous Fora / 2003
Speakers
Information based society and knowledge
Information, knowledge and an extension of reasoning to spatial-temporal domain - a neuro-inspired approach in an age of abundant information
Professor Tamás Roska,
Professor of Information Technology, Hungary
Abstract
Knowledge is defined as an ordered set of information in space and time about important notions, data, facts, axioms, laws, and inference rules related to a specified field of human experience, embedded in a given thought-framework (sometimes called paradigm). In what follows, information without a thought-framework will not be qualified as knowledge. Information-based society is considered as a stage of technical civilization where information is available abundantly. It is a prerequisite to knowledge-based society where many people are highly educated and able to relate a piece of information in a specific thought-framework.
Logic and reasoning had been closely coupled with logic computing since Gödel (1929). The Universal Machine on Flows, an algorithmically programmable analog-and-logic (analogic) array computer on topographic (image) flows has been recently introduced. This cellular wave-computer combines spatial temporal waves and logic (locally and globally); henceforth it is also called wave-computer and the associated logic as wave-logic.
In this lecture we will discuss the potential of this new "analogic wave computer" as
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a computing paradigm for a diverse field of spatial-temporal algorithms,
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a computing model for neuromorphic modeling of living sensory systems, and as
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an extension of reasoning and artificial understanding on spatial-temporal flows and spatial-temporal truth.
Finally, we will reflect on the fundamental difference between knowledge and information in an information-based society.