Files in this item



application/pdfCumulative Lear ... s that Have a Lifetime.pdf (530kB)
(no description provided)PDF


Title:Cumulative Learning: Towards Designing Cognitive Architectures for Artificial Agents that Have a Lifetime
Author(s):Swarup, Samarth; Mahmud, M.M. Hassan; Lakkaraju, Kiran; Ray, Sylvian R.
artificial intelligence
Abstract:Cognitive architectures should be designed with learning performance as a central goal. A critical feature of intelligence is the ability to apply the knowledge learned in one context to a new context. A cognitive agent is expected to have a lifetime, in which it has to learn to solve several different types of tasks in its environment. In such a situation, the agent should become increasingly better adapted to its environment. This means that its learning performance on each new task should improve as it is able to transfer knowledge learned in previous tasks to the solution of the new task. We call this ability cumulative learning. Cumulative learning thus refers to the accumulation of learned knowledge over a lifetime, and its application to the learning of new tasks. We believe that creating agents that exhibit sophisticated, long-term, adaptive behavior is going to require this kind of approach.
Issue Date:2005-02
Genre:Technical Report
Other Identifier(s):UIUCDCS-R-2005-2514
Rights Information:You are granted permission for the non-commercial reproduction, distribution, display, and performance of this technical report in any format, BUT this permission is only for a period of 45 (forty-five) days from the most recent time that you verified that this technical report is still available from the University of Illinois at Urbana-Champaign Computer Science Department under terms that include this permission. All other rights are reserved by the author(s).
Date Available in IDEALS:2009-04-17

This item appears in the following Collection(s)

Item Statistics