Inverting the Interaction Cycle to Model Embodied Agents

Olivier L. Georgeon 1, 2 Amélie Cordier 1, 2
1 SILEX - Supporting Interaction and Learning by Experience
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
2 TWEAK - Traces, Web, Education, Adaptation, Knowledge
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : Cognitive architectures should make explicit the conceptual begin and end points of the agent/environment interaction cycle. Most architectures begin with the agent receiving input data representing the environment, and end with the agent sending output data. This paper suggests inverting this cycle: the agent sends output data that specifies an experiment, and receives input data that represents the result of this experiment. This complies with the embodiment paradigm because the input data does not directly represent the environment and does not amount to the agent's perception. We illustrate this in an example and propose an assessment method based upon activity-trace analysis.
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Submitted on : Friday, March 13, 2015 - 11:16:40 AM
Last modification on : Wednesday, April 3, 2019 - 1:03:17 AM

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Olivier L. Georgeon, Amélie Cordier. Inverting the Interaction Cycle to Model Embodied Agents. Procedia Computer Science, Elsevier, 2014, 5th Annual International Conference on Biologically Inspired Cognitive Architectures, 2014 BICA, 41, pp.243-248. ⟨10.1016/j.procs.2014.11.109⟩. ⟨hal-01131263⟩

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