Integrating Language and Cognition in Grounded Adaptive Agents

EOARD Grant # 053060

 


 

 

Results:

  1. Scale up of the MFT algorithm (Stage 7 - Using a Matrix (6x7) for each Concept-Model and a Matrix composed of the data collected from the robotic model for each object). See illustration  - see robot data

 

Description:

          In stage one we constructed a series of experiment where the Concept Model is represented by a Matrix (6 x7) and the Object is represented by a Matrix composed of the Data collected from the Robotic model.

  • Test 1: As a first experiment we used five random generated concept-models matrices (from 0 to 1) and five matrix objects using the data from the Robotic Model.

 

       Click for full size image

and here for the data on these plots

Figure 1: The time evolution of five modelling fields (6x7 matrix) using a dynamic fuzziness scheme, categorizing five objects (6x7 matrix robot data).

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