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Authors: Gavin Rens and Thomas Meyer

Affiliation: University of KwaZulu-Natal and CSIR Meraka, South Africa

Keyword(s): POMDP, BDI, Online Planning, Desire Intensity, Preference.

Related Ontology Subjects/Areas/Topics: Agent Models and Architectures ; Agents ; Artificial Intelligence ; Task Planning and Execution

Abstract: Partially observable Markov decision processes (POMDPs) and the belief-desire-intention (BDI) framework have several complimentary strengths. We propose an agent architecture which combines these two powerful approaches to capitalize on their strengths. Our architecture introduces the notion of intensity of the desire for a goal’s achievement. We also define an update rule for goals’ desire levels. When to select a new goal to focus on is also defined. To verify that the proposed architecture works, experiments were run with an agent based on the architecture, in a domain where multiple goals must continually be achieved. The results show that (i) while the agent is pursuing goals, it can concurrently perform rewarding actions not directly related to its goals, (ii) the trade-off between goals and preferences can be set effectively and (iii) goals and preferences can be satisfied even while dealing with stochastic actions and perceptions. We believe that the proposed architecture fur thers the theory of high-level autonomous agent reasoning. (More)

CC BY-NC-ND 4.0

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Paper citation in several formats:
Rens, G. and Meyer, T. (2015). Hybrid POMDP-BDI - An Agent Architecture with Online Stochastic Planning and Desires with Changing Intensity Levels. In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-073-4; ISSN 2184-433X, pages 5-14. DOI: 10.5220/0005185000050014

@conference{icaart15,
author={Gavin Rens. and Thomas Meyer.},
title={Hybrid POMDP-BDI - An Agent Architecture with Online Stochastic Planning and Desires with Changing Intensity Levels},
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2015},
pages={5-14},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005185000050014},
isbn={978-989-758-073-4},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Hybrid POMDP-BDI - An Agent Architecture with Online Stochastic Planning and Desires with Changing Intensity Levels
SN - 978-989-758-073-4
IS - 2184-433X
AU - Rens, G.
AU - Meyer, T.
PY - 2015
SP - 5
EP - 14
DO - 10.5220/0005185000050014

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