ACORNS - towards computational modeling of communication and recognition skills

In this paper the FP6 Future and Emerging Technologies project ACORNS is introduced. This project aims at simulating embodied language learning, inspired by the memory-prediction theory of intelligence. ACORNS intends to build a full computational implementation of sensory information processing. AC...

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Bibliographic Details
Main Authors: Boves, L., ten Bosch, L., Moore, R.
Format: Conference Proceeding
Language:English
Subjects:
Automatic speech recognition
Computational modeling
Humans
Machine learning
Memory architecture
Natural languages
Pattern recognition
Speech processing
Speech recognition
Training data
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Summary:In this paper the FP6 Future and Emerging Technologies project ACORNS is introduced. This project aims at simulating embodied language learning, inspired by the memory-prediction theory of intelligence. ACORNS intends to build a full computational implementation of sensory information processing. ACORNS considers linguistic units as emergent patterns. Thus, the research will not only address the issues conventionally investigated in statistical pattern recognition, but also the representations that are formed in memory. The paper discusses details of the memory and processing architecture that will be implemented in ACORNS, and explains how this architecture merges the basic concepts of the Memory-Prediction theory with results form previous research in the field of memory.
DOI:10.1109/COGINF.2007.4341909