A self-organizing neural architecture integrating desire, intention and reinforcement learning

A self-organizing neural architecture integrating desire, intention and reinforcement learning

This paper presents a self-organizing neural architecture that integrates the features of belief, desire, and intention (BDI) systems with reinforcement learning. Based on fusion Adaptive Resonance Theory (fusion ART), the proposed architecture provides a unified treatment for both intentional and r...

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Bibliographic Details
Main Authors:	TAN, Ah-hwee, FENG, Yu-Hong, ONG, Yew-Soon
Format:	text
Language:	English
Published:	Institutional Knowledge at Singapore Management University 2010
Subjects:	Reinforcement learning Plan learning Self-organizing neural networks BDI Minefield navigation Computer and Systems Architecture Databases and Information Systems OS and Networks
Online Access:	https://ink.library.smu.edu.sg/sis_research/5217 https://ink.library.smu.edu.sg/context/sis_research/article/6220/viewcontent/1_s2.0_S0925231209004196_main.pdf
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Institution:	Singapore Management University
Language:	English

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