Planning with iFALCON: Towards a neural-network-based BDI agent architecture

This paper presents iFALCON, a model of BDI (beliefdesire-intention) agents that is fully realized as a selforganizing neural network architecture. Based on multichannel network model called fusion ART, iFALCON is developed to bridge the gap between a self-organizing neural network that autonomously...

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Main Authors: SUBAGDJA, Budhitama, TAN, Ah-hwee
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Language:English
Published: Institutional Knowledge at Singapore Management University 2008
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Online Access:https://ink.library.smu.edu.sg/sis_research/6175
https://ink.library.smu.edu.sg/context/sis_research/article/7178/viewcontent/Planning_with_iFALCON_Towards_a_neural_network_bas.pdf
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spelling sg-smu-ink.sis_research-71782021-09-29T10:23:44Z Planning with iFALCON: Towards a neural-network-based BDI agent architecture SUBAGDJA, Budhitama TAN, Ah-hwee This paper presents iFALCON, a model of BDI (beliefdesire-intention) agents that is fully realized as a selforganizing neural network architecture. Based on multichannel network model called fusion ART, iFALCON is developed to bridge the gap between a self-organizing neural network that autonomously adapts its knowledge and the BDI agent model that follows explicit descriptions. Novel techniques called gradient encoding are introduced for representing sequences and hierarchical structures to realize plans and the intention structure. This paper shows that a simplified plan representation can be encoded as weighted connections in the neural network through a process of supervised learning. A case study using the blocks world domain shows that an iFALCON agent can also do planning to solve problems when the knowledge is incomplete. 2008-12-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/6175 info:doi/10.1109/WIIAT.2008.29 https://ink.library.smu.edu.sg/context/sis_research/article/7178/viewcontent/Planning_with_iFALCON_Towards_a_neural_network_bas.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Databases and Information Systems OS and Networks
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Databases and Information Systems
OS and Networks
spellingShingle Databases and Information Systems
OS and Networks
SUBAGDJA, Budhitama
TAN, Ah-hwee
Planning with iFALCON: Towards a neural-network-based BDI agent architecture
description This paper presents iFALCON, a model of BDI (beliefdesire-intention) agents that is fully realized as a selforganizing neural network architecture. Based on multichannel network model called fusion ART, iFALCON is developed to bridge the gap between a self-organizing neural network that autonomously adapts its knowledge and the BDI agent model that follows explicit descriptions. Novel techniques called gradient encoding are introduced for representing sequences and hierarchical structures to realize plans and the intention structure. This paper shows that a simplified plan representation can be encoded as weighted connections in the neural network through a process of supervised learning. A case study using the blocks world domain shows that an iFALCON agent can also do planning to solve problems when the knowledge is incomplete.
format text
author SUBAGDJA, Budhitama
TAN, Ah-hwee
author_facet SUBAGDJA, Budhitama
TAN, Ah-hwee
author_sort SUBAGDJA, Budhitama
title Planning with iFALCON: Towards a neural-network-based BDI agent architecture
title_short Planning with iFALCON: Towards a neural-network-based BDI agent architecture
title_full Planning with iFALCON: Towards a neural-network-based BDI agent architecture
title_fullStr Planning with iFALCON: Towards a neural-network-based BDI agent architecture
title_full_unstemmed Planning with iFALCON: Towards a neural-network-based BDI agent architecture
title_sort planning with ifalcon: towards a neural-network-based bdi agent architecture
publisher Institutional Knowledge at Singapore Management University
publishDate 2008
url https://ink.library.smu.edu.sg/sis_research/6175
https://ink.library.smu.edu.sg/context/sis_research/article/7178/viewcontent/Planning_with_iFALCON_Towards_a_neural_network_bas.pdf
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