Integrating Language and Cognition in Grounded Adaptive Agents

EOARD Grant # 053060

 


 

 

Results:

  1. Scale up of the MFT algorithm (Stage 2 -  number of Concept Models is not equals to the number of Objects)

 

Description:

          In stage one we constructed a series of experiment where the number of Concept Models is not equal to the number of Objects and varying their values.

  • Test 1: As a first experiment we used ten random generated concept-models (from 0 to 1) and three objects

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Figure 1: The time evolution of ten modelling fields using a dynamic fuzziness scheme, categorizing three objects.


  • Test 2: The following experiment uses ten random generated concept-models (from 0 to 1) and the five objects as used in the KIMAS replication.

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Figure 2: The time evolution of ten modelling fields using a dynamic fuzziness scheme categorizing five objects ranging from 0.1 to 10.


  • Test 3: The following experiment uses fifty random generated concept-models (from 0 to 1) and ten objects starting from 0.1 to 1

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Figure 3: The time evolution of fifty modelling fields using a dynamic fuzziness scheme categorizing ten objects.


  • Test 4: The following experiment uses fifty random generated concept-models (from 0 to 1) and five objects starting from 0.2 to 1

   Click for full size image

Figure 4: The time evolution of fifty modelling fields using a dynamic fuzziness scheme categorizing five objects.


  • Test 5: The following experiment uses one hundred random generated concept-models (from 0 to 1) and fifty objects starting from 0.02 to 1

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Figure 5: The time evolution of one hundred modelling fields using a dynamic fuzziness scheme categorizing fifty objects.


  • Test 6: The following experiment uses one hundred random generated concept-models (from 0 to 1) and ten objects starting from 0.1 to 1

   Click for full size image

Figure 6: The time evolution of one hundred modelling fields using a dynamic fuzziness scheme categorizing ten objects.


  • Test 7: The following experiment uses one thousand random generated concept-models (from 0 to 1) and 100 objects starting from 0.01 to 1

   Click for full size image

Figure 7: The time evolution of one thousand modelling fields using a dynamic fuzziness scheme categorizing one hundred objects.

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