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Context-dependent combination of sensor information in Dempster–Shafer theory for BDI (2016)
Journal Article
Calderwood, S., McAreavey, K., Liu, W., & Hong, J. (2017). Context-dependent combination of sensor information in Dempster–Shafer theory for BDI. Knowledge and Information Systems, 51(1), 259-285. https://doi.org/10.1007/s10115-016-0978-0

© 2016, The Author(s). There has been much interest in the belief–desire–intention (BDI) agent-based model for developing scalable intelligent systems, e.g. using the AgentSpeak framework. However, reasoning from sensor information in these large-sca... Read More about Context-dependent combination of sensor information in Dempster–Shafer theory for BDI.

Uncertain information combination for decision making in smart grid BDI agent systems (2016)
Journal Article
Calderwood, S., McAreavey, K., Liu, W., & Hong, J. (2016). Uncertain information combination for decision making in smart grid BDI agent systems. https://doi.org/10.20533/ijicss.9781.9083.20346.2016.0003

In a smart grid SCADA (supervisory control and data acquisition) system, sensor information (e.g. temperature, voltage, frequency, etc.) from heterogeneous sources can be used to reason about the true system state (e.g. faults, attacks, etc.). Before... Read More about Uncertain information combination for decision making in smart grid BDI agent systems.

Probabilistic planning in agentspeak using the POMDP framework (2016)
Journal Article
Godo, L., Bauters, K., McAreavey, K., Hong, J., Chen, Y., Liu, W., …Sierra, C. (2016). Probabilistic planning in agentspeak using the POMDP framework. https://doi.org/10.1007/978-3-319-26860-6_2

© Springer International Publishing Switzerland 2016. AgentSpeak is a logic-based programming language, based on the Belief- Desire-Intention paradigm, suitable for building complex agent-based systems. To limit the computational complexity, agents i... Read More about Probabilistic planning in agentspeak using the POMDP framework.