Projects per year
Abstract
The ability of an autonomous agent to select rational actions is vital in enabling it to achieve its goals. To do
so effectively in a high-stakes setting, the agent must be capable of considering the risk and potential reward
of both immediate and future actions. In this paper we provide a novel method for calculating risk alongside
utility in online planning algorithms. We integrate such a risk-aware planner with a BDI agent, allowing us
to build agents that can set their risk aversion levels dynamically based on their changing beliefs about the
environment. To guide the design of a risk-aware agent we propose a number of principles which such an
agent should adhere to and show how our proposed framework satisfies these principles. Finally, we evaluate
our approach and demonstrate that a dynamically risk-averse agent is capable of achieving a higher success
rate than an agent that ignores risk, while obtaining a higher utility than an agent with a static risk attitude.
Original language | English |
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Title of host publication | Proceedings of the 8th International Conference on Agents and Artificial Intelligence (ICAART'16) |
Publisher | SciTePress |
Pages | 322-329 |
ISBN (Print) | 978-989-758-172-4 |
DOIs | |
Publication status | Published - 2016 |
Event | 8th International Conference on Agents and Artificial Intelligence - Rome, Italy Duration: 24 Feb 2016 → 26 Feb 2016 http://www.icaart.org/?y=2016 (Link to event details online) |
Conference
Conference | 8th International Conference on Agents and Artificial Intelligence |
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Country/Territory | Italy |
City | Rome |
Period | 24/02/2016 → 26/02/2016 |
Internet address |
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Bibliographical note
accepted as short paperFingerprint
Dive into the research topics of 'Risk-aware Planning in BDI Agents'. Together they form a unique fingerprint.Projects
- 1 Finished
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R1070CSC: Providing Autonomous Capabilities for Evolving SCADA (PACES)
Liu, W. (PI), Hong, J. (CoI) & Sezer, S. (CoI)
01/08/2011 → 31/03/2016
Project: Research