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Transcript
Aims to bridge the gap between behaviour and knowledge based systems. Implications for understanding of emergence of cognitive intelligence Also holds implications for the application of these methods in future systems. Vegetative – by default in order to live. Reflex – simple immediate reaction to stimuli Reactive – more complex reaction to stimuli Motivated – Dependent on external stimuli and internal motivations Reasoned – Manipulation of abstract concepts Conscious – Anything higher, too complex to be modelled by the methods proposed Problem – How to abstract perception of world for manipulation and reasoning? Generalization of perceptions or other concepts Concepts learned from patterns and regularities Concepts reinforced with experience Concepts are unique to the individual as experiences differ 1. concept abstraction 2. grounding of concepts though action 3. sharing of concepts through social interactions (language) 4. manipulation of concepts (logic) 5. evolution of concepts (culture) BBKS are necessarily simplifications of natural systems Not going to produce convincing imitations of natural intelligence More detailed analysis is described in subsequent papers The paper itself is quite general Of interest as a means of understanding emergence of knowledge Limited potential as a means of producing intelligent systems Nature has already produced intelligence so it makes sense to learn from it The website relating to Gershenson’s work on BBKS including virtual lab http://turing.iimas.unam.mx/~cgg/cogs/keb/ His current website at the Universidad Nacional Autónoma de México http://turing.iimas.unam.mx/~cgg/ Questions?