Title :
ACORNS - towards computational modeling of communication and recognition skills
Author :
Boves, Lou ; Ten Bosch, Louis ; Moore, Roger
Author_Institution :
Radboud Univ. Nijmegen, Nijmegen
Abstract :
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.
Keywords :
computational linguistics; learning (artificial intelligence); natural language processing; pattern recognition; speech processing; ACORNS project; language learning; linguistic unit; memory-prediction theory; sensory information processing; skill recognition; statistical pattern recognition; Automatic speech recognition; Computational modeling; Humans; Machine learning; Memory architecture; Natural languages; Pattern recognition; Speech processing; Speech recognition; Training data;
Conference_Titel :
Cognitive Informatics, 6th IEEE International Conference on
Conference_Location :
Lake Tahoo, CA
Print_ISBN :
9781-4244-1327-0
Electronic_ISBN :
978-1-4244-1328-7
DOI :
10.1109/COGINF.2007.4341909
