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Congratulations to Adam Eck for his successful Ph.D. defense on April 23rd!

We also have a new journal paper to appear in the Autonomous Agents and Multiagent Systems journal: Eck, A., Soh, L.-K., Devlin, S., & Kudenko, D. 2015. Potential-Based Reward Shaping for Finite Horizon Online POMDP Planning, Autonomous Agents and Multiagent Systems. The online version can be found at: link

We have a new full paper accepted at AAMAS’2015! Eck, A. & Soh, L.-K. 2015. To Ask, Sense, or Share: Ad Hoc Information Gathering. Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS’15), Bordini, Elkind, Weiss, Yolum (eds.), Istanbul, Turkey, May 4-8, 2015. We will present the paper soon at AAMAS.

A paper based on LD Miller’s Ph.D. dissertation work–“Cluster-Based Boosting”–has just been accepted to the IEEE Transactions on Knowledge and Data Engineering. Congratulations!

Congratulations to LD Miller, who successfully defended his Ph.D. dissertation on November 17, 2014! His dissertation title is “Cluster-Based Boundary of Use for Selective Improvement to Supervised Learning”.

Our Aida project was featured on NET, Nebraska’s NPR! Here is the multimedia.

Our new project has been up and running for the past few months now. This is a collaboration with Dr. Liz Lorang of UNL Libraries and Digital Humanities. It is funded by the National Endowment for the Humanities (NEH). Check it out here: Aida!

Welcome to the new semester! Graduate Students: LD, Adam, Hari, Anish, Shilpa, Doug, Bin; Undergraduate Students: Greg, Xi, Maanas, Spencer! We have active projects: the Survey Informatics project funded by NSF CRN, the IDEASPERE project funded by NSF SaTC, the Ad Hoc Team Formation project, the Spectral Metadata Project, and the new NSF IUSE project […]

We have a new grant to continue work on computational creativity! From the NSF IUSE program.

Another modeling paper based on our multiagent Computational ULM framework at ICCI*CC’2014: Shell, D. F., L.-K. Soh, and V. Chiriacescu (2014). Modeling Self-Efficacy with the Computational Unified Learning Model, in Proceedings of the 13th IEEE International Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC14), London, UK, August 18-20, 2014, pp. 117-125.