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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

Behaviour Based Knowledge Systems

An epigenetic path from behaviour to knowledge

A paper by Carlos Gershenson,

Presented by John Evans

introduction
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.
abstraction levels in animal behaviour
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
concepts
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
epigenetic stages to attain knowledge from behaviour
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)
limits of behaviour based knowledge systems
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
conclusion
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
further interest
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/

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