Abstract
Agent-oriented solutions form a useful paradigm to design intelligent systems. For health-related behaviour change, this is also a promising approach. Designing an agent for lifestyle change interventions is a difficult task because socio-ecological models are involved that represent many conflicting desires and goals. Different types of cognitive architectures are available to design this type of health behavior agents but they are rarely used. In this paper, we used the BDI model to design a health behavior agent that will execute behavior change intervention for a better healthy lifestyle. We explain the working of the architecture by the example of an agent which uses adaptive goals-setting and a percentile scheduling technique for increasing physical activity.
Original language | English |
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Title of host publication | Proceedings of the 12th International Conference on Agents and Artificial Intelligence |
Subtitle of host publication | Volume 1: ICAART 2020 |
Editors | Ana Rocha, Luc Steels, Jaap van den Herik |
Publisher | SciTePress |
Pages | 311-318 |
Number of pages | 8 |
Volume | 1 |
ISBN (Electronic) | 9789897583957 |
ISBN (Print) | 9789897583957 |
DOIs | |
Publication status | Published - 2020 |
Event | 12th International Conference on Agents and Artificial Intelligence, ICAART 2020 - Valletta, Malta Duration: 22 Feb 2020 → 24 Feb 2020 |
Conference
Conference | 12th International Conference on Agents and Artificial Intelligence, ICAART 2020 |
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Country/Territory | Malta |
City | Valletta |
Period | 22/02/20 → 24/02/20 |
Keywords
- BDI-based Agent
- Behavior Change Technique
- Health Behavior Change Agent