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Behaviour Based Knowledge Systems

Behaviour Based Knowledge Systems. An epigenetic path from behaviour to knowledge. A paper by Carlos Gershenson , Presented by John Evans. Introduction. Aims to bridge the gap between behaviour and knowledge based systems.

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Behaviour Based Knowledge Systems

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  1. Behaviour Based Knowledge Systems An epigenetic path from behaviour to knowledge A paper by Carlos Gershenson, Presented by John Evans

  2. Introduction • 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.

  3. Abstraction Levels in Animal Behaviour • 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

  4. Concepts • 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

  5. Epigenetic Stages to Attain Knowledge from Behaviour • 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)

  6. Limits of Behaviour Based Knowledge Systems • BBKS are necessarily simplifications of natural systems • Not going to produce convincing imitations of natural intelligence • More detailed analysis is described in subsequent papers

  7. Conclusion • 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

  8. Further Interest • 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?

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