Sense-making and knowledge construction via constructivist learning paradigm - CEA - Commissariat à l’énergie atomique et aux énergies alternatives
Conference Papers Year : 2024

Sense-making and knowledge construction via constructivist learning paradigm

Abstract

As a knowledge acquisition theory, constructivism describes information processing mechanisms behind infants' cognitive development. When infants play with the world around them, they exhibit amazing abilities to generate novel behaviors in unseen situations and explore actively to learn the best while lacking extrinsic rewards from the environment. These abilities are critical to achieving autonomous intelligent agents (such as robots). In this article, we seek to understand and replicate some of the abilities in infants' play and propose a computational framework based on the constructivist learning paradigm, which enables sense-making and knowledge construction for self-motivated agents. Furthermore, we evaluate the proposed framework for solving the Small Loop Problem (SLP) and compare its performance with reinforcement-based models. A toolkit of Generating and Analyzing Interaction Traces (GAIT) was introduced to report and explain the fine-grained learning process and the formation of structured behaviors after each decision-making. The result shows that the agent has successfully learned to interact with its environment and avoid unfavorable interactions by using regularities discovered through interaction. Moreover, the proposed framework outperforms reinforcementbased models in learning the goals and adapting behaviors in interacting with dynamic environments.
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Dates and versions

cea-04761173 , version 1 (30-10-2024)

Identifiers

  • HAL Id : cea-04761173 , version 1

Cite

Jianyong Xue, Raphaël Lallement, Matteo Morelli. Sense-making and knowledge construction via constructivist learning paradigm. IEEE CogMI - The Sixth IEEE International Conference on Cognitive Machine Intelligence, Oct 2024, Washington DC, United States. ⟨cea-04761173⟩
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