ACORNS - towards computational modeling of communication and recognition skills

Author

Boves, Lou ; Ten Bosch, Louis ; Moore, Roger

Author_Institution

Radboud Univ. Nijmegen, Nijmegen

fYear

2007

Firstpage

349

Lastpage

356

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/COGINF.2007.4341909

Filename

4341909