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

• 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
• Institution: Singapore Management University

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...