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Communication Dans Un Congrès Année : 1989

An Exploration into Incremental Learning: the INFLUENCE system

Résumé

Although some recent works are concerned with the incremental acquisition of knowledge, these have often been conceived as modifications of existing algorithms or models added afterwards, not as investigations in their own right in a central problem of learning : how is a system to learn incrementally through experiences and time, and how is it to make do with limited computational and memory ressources ? In other words, how is the temporal and dynamic dimension of learning to be taken into account ? This paper proposes a clearcut and operational definition of "incremental learning" as opposed to "direct learning" and "sequential learning". In particular this definition leads to the consideration of the "best education" of a learning system, that is how to best organize available data so as to guide the system towards a desired functionality. A system called INFLUENCE is then described that adapts incrementally its model of the world. An important characteristics of this system that is both significant and novel, is that it is naturally functionning out of equilibrium, allowing it to respond in real time to the environment, contrary to the all-pervasive quasi-static systems, but giving rise to new problems on the best learning rate. In that way, INFLUENCE allows experiments encompassing the whole spectrum of problems (ordering of data and rate of presentation) specific to a learning process that takes place over time. Results obtained so far are reported in the last section of this paper, and the conclusion underlines lessons and perspectives for this research.
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Dates et versions

hal-02482270 , version 1 (17-02-2020)

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  • HAL Id : hal-02482270 , version 1

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Antoine Cornuéjols. An Exploration into Incremental Learning: the INFLUENCE system. 6th International Workshop on Machine Learning (ICML-89), Jun 1989, Cornell, United States. ⟨hal-02482270⟩
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