Discovery as autonomous learning from the environment

Autonomous Learning from the Environment

State Discovery for Autonomous Learning

This thesis is devoted to the study of algorithms for early perceptual learning for an autonomous agent in the presence of feedback. In the framework of associative perceptual learning with indirect supervision, three learning techniques are examined in detail: • short-term on-line memory-based model learning; • long-term on-line distribution-based statistical estimation; • mixed onand off-line...

ILE – an Integrated Learning Environment for Knowledge Discovery from Databases

In this paper we present an integrated learning environment (ILE) for knowledge and data discovery from databases, which we have developed by making use of deductive object-oriented database (DOOD) technology. We give the user a convenient tool to assist him in the application of machine learning algorithms to his data collection stored in the same database. By deriving full benefit of the avai...

Autonomous Learning in a Simulated Environment

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Autonomous Collaborative Environment for Project Based Learning

The importance of integrating different disciplines of information science and technology is growing for the realization of an information system which works robustly in the real world. Such a system should be achieved by integrating different disciplines, since it is difficult to cover all areas in information science and technology by only one person or group. In order to support collaboratio...