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ICED 11
Papers

A SELF-TRAINING SYSTEM THAT LEARNS THROUGH EXPERIMENTATION

A SELF-TRAINING SYSTEM THAT LEARNS THROUGH EXPERIMENTATION

Year: 2006

Section: METHODS AND TOOLS IN DESIGN PRACTICE

Editor: Marjanovic, D.

Author: Braun S.C., Gero J.S.

Section: METHODS AND TOOLS IN DESIGN PRACTICE

Pages: 193-198

Abstract

The paper introduces an adaptive system that, inspired by the diversity of human cognitive development processes, uses different kinds of machine learning to develop its expertise. The system combines a supervised learning recognition engine with an autonomous learning agent. Based on the system’s initial knowledge novel training sets are produced through „experimental learning“. Thus, the user does not have to spend time on the generation of training data. Both the conceptual basis and an exemplary implementation (recognition and substitution of hand-drawn geometrical shapes) are presented. The dependency of the system’s learning success on the knowledge initially provided and the way it processes this knowledge is tested and documented.

Keywords: autonomous agents, adaptive tools, machine learning

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ds endorsed conferenceDESIGN 2006 - 9th International Design Conference

DESIGN 2006 - 9th International Design ConferenceDESIGN 2006 Conference is founded on the continuous development of organization and evaluation procedure that resulted in a capacity to deliver procedures and conditions of communicative competence. The conference in Dubrovnik will be the 9th International Design Conference, including the following topics: * theory and research methods in design * methods and tools in design practice * design projects and processes * development of products and services * competencies & communications *...

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SIG Workshop - March 2013