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public:t-720-atai:atai-19:aera [2019/10/20 18:49]
thorisson [Model Generation & Evaluation]
public:t-720-atai:atai-19:aera [2019/10/20 18:50] (current)
thorisson [Model Generation & Evaluation]
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 |  The agent's model generation mechanisms allow it to produce models of events it sees. Here it creates models (a) <m>M_1</m> and (b) <m>M_2</m>. The usefulness of these models for particular situations and goals can be tested by performing an operation on the world (c ) as prescribed by the models, through backward chaining (abduction). \\ Ideally, when one wants to find on which model is best for a particular situation (goals+environment+state), the most efficient method is an (energy-preserving) intervention that can only leave one as the winner.   | |  The agent's model generation mechanisms allow it to produce models of events it sees. Here it creates models (a) <m>M_1</m> and (b) <m>M_2</m>. The usefulness of these models for particular situations and goals can be tested by performing an operation on the world (c ) as prescribed by the models, through backward chaining (abduction). \\ Ideally, when one wants to find on which model is best for a particular situation (goals+environment+state), the most efficient method is an (energy-preserving) intervention that can only leave one as the winner.   |
 |  {{public:t-720-atai:model-m2-prime-1.png?150}}  | |  {{public:t-720-atai:model-m2-prime-1.png?150}}  |
-|  The result of feedback (reinforcement) may result in the deletion, rewriting, or some other modification of the original model selected for prediction. Here the feedback has resulted in a modified model <m>M{prime}_2</m>.  |+|  The feedback (reinforcement) resulting from direct or indirect tests of a model may result in its deletion, rewriting, or some other modification. Here the feedback has resulted in a modified model <m>M{prime}_2</m>.  |
  
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/var/www/ailab/WWW/wiki/data/pages/public/t-720-atai/atai-19/aera.txt ยท Last modified: 2019/10/20 18:50 by thorisson