A hybrid agent architecture integrating desire, intention and reinforcement learning

A hybrid agent architecture integrating desire, intention and reinforcement learning

This paper presents a hybrid agent architecture that integrates the behaviours of BDI agents, specifically desire and intention, with a neural network based reinforcement learner known as Temporal DifferenceFusion Architecture for Learning and COgNition (TD-FALCON). With the explicit maintenance of...

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Bibliographic Details
Main Authors:	TAN, Ah-hwee, ONG, Yew-Soon, TAPANUJ, Akejariyawong
Format:	text
Language:	English
Published:	Institutional Knowledge at Singapore Management University 2011
Subjects:	BDI architecture Reinforcement learning Plan learning Self-organizing neural networks Minefield navigation Computer and Systems Architecture Databases and Information Systems Software Engineering
Online Access:	https://ink.library.smu.edu.sg/sis_research/5244 https://ink.library.smu.edu.sg/context/sis_research/article/6247/viewcontent/1_s2.0_S0957417411000650_main.pdf
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Institution:	Singapore Management University
Language:	English

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