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Short e-paper [http://erg4146.casaccia.enea.it/cog-intel.htm], since Apr.2001] by Adam Maria Gadomski |
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Without doubts, biologically realized cognitive intelligence is the most complex property of human mind and can be perceived only by itself. Our problem is what we call or may call cognitive intelligence. From the formal, computational perspective, cognitive intelligence is always one of ill defined concepts. Its definitions are immersed in numerous scientific contexts and mirror their own historical evolutions, as well as, different "interests" of researchers involved. Its weakness is usually based on its abstract multi-faces image and, on the other hand, an universal utility character..
The classical behavioral/biologists definition of intelligence:
seems to be the best, but "intelligence" here depends on available physical tools and specific life experience (individual hidden knowledge, preferences and access to information), therefore it is not enough selective to be measured, compared or... designed. In general, cognitive intelligence is/(should be) a human-like intelligence. Unfortunately there are many opinions what human-like intelligence means ( see below).
Cognitive intelligence uses a human mental introspective experience for the modeling of intelligent system thinking.
Therefore
it can be seen as a product of human self-conscious recognition of efficient
mental processes, defined a' priori as intelligent. In order to obtain a consensus
on the notion of cognitive intelligence is useful to have an
agreement on which intelligence is not cognitive.
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A not cognitive intelligence could be considered as an intelligence being developed using not human analogies, ...for instance, it is possible to construct very different models of flying objects starting from the observation of storks, balloons, beetles or clouds - maybe this observation can be useful. The difference between human and artificial intelligence theories is similar to the difference between the birds theory of fly and the airplanes fly theory, the both can lead to a more general theory of fly but this last needs a goal-oriented and a higher abstraction level of the conceptualization/ontology.
Computational cognitive intelligence is the domain of research focused on the theory building and modeling of a cognitive intelligence which satisfy the request of computationality
According to the TOGA metatheory paradigms, for scientific and practical modeling purposes, the separation of the meanings of the concepts: information, knowledge, preferences, intelligence and emotions. is useful and reasonable. If properly defined, these concepts can be independently identified, designed (see structural intelligence, personoids), and together, may model a.computational cognitive information processing. Such kind of semantic modularity enables to construct: "emotional intelligence", "social intelligence", "skill intelligence", "organizational intelligence", and many other "X-intelligences", where X denotes a type of knowledge, preferences or an intelligence carrier system involved. For example: business intelligence is rather the applications of intelligence in business affairs and for the management of business IPK.; emotional intelligence is the applications of cognitive intelligence to the (conscious or not conscious) management of human emotions (not conscious) constrains/requirements and "biological requests". - In the above context, an 'abstract intelligent agent' * (== synthetic intelligent agent) can be considered as the functional kernel of any natural or artificial intelligent system.
------------------ (*) .Abstract Intelligent Agent discussion Group (1998), Yahoo |
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