To provide Intelligent Systems research and development services to help our customers develop innovative products. Intelligent Systems automate knowledge-intensive tasks, learn from their mistakes, and adapt to unexpected situations, offering capabilities beyond conventional systems.
Our members hold advanced degrees in computer science, engineering, neuroscience and business, and have many years of experience in information technology research and product development.
We have pioneered advancements in many AI topics such as goal-driven autonomy, relational learning, learning agents in virtual environments, information and knowledge extraction, information brokering, and automated video surveillance.
Gillespie, K., Molineaux, M., Floyd, M.W., Vattam, S.S., and Aha, D.W. (2015). Goal Reasoning for an Autonomous Squad Member. In Proceedings of the 2015 Advances in Cognitive Systems Workshop on Goal Reasoning.
Alford, R., Borck, H., Karneeb, J., and Aha, D.W. (2015). Active Behavior Recognition in Beyond Visual Range Air Combat. In Proceedings of the Third Annual Conference on Advances in Cognitive Systems.
Borck H., Karneeb, J., Alford, R., and Aha, D.W.(2015). Case-Based Behavior Recognition in Beyond Visual Range AIr Combat. In Proceedings of the 28th International Florida Artificial Intelligence Research Society Conference, Hollywood, Florida, USA, May 18 - 20, in press. AAAI Press.
Thomson, R., Lebiere, C., Bennati, S., Shakarian, P., & Nunes, E. (2015). Malware Identification Using Cognitively Inspired Inference. In Proceedings of the 24th Conference on Behavior Representation in Modeling Simulation. Washington, DC: Society for Behavior Prediction.
Thomson, R., Bennati, S., & Lebiere, C. (2015). Extending the Influence of Contextual Information in ACT-R using Buffer Decay. In P. Bello, M. Guarini, M. McShane, & B. Scassellati (Eds.), Proceedings of the 36th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society.
We conduct basic and applied research on a variety of AI topics such as goal-driven autonomy, natural language understanding, relational learning, learning and acting in virtual environments and automated web services brokering. We work with you to disseminate research findings via scientific publications and presentations.
We develop prototypes to showcase and evaluate AI R&D products. We employ software engineering best practices to architect stand-alone and embedded cross-platform systems that can be easily transitioned. We integrate products from multiple performer teams of a research program for demonstration and evaluation.
We develop test-beds for evaluating AI R&D products. Our test-beds provide easy access to extensible components; test problem sets, plug-and-play interfaces for target algorithms, and evaluation metrics. These enable bench-marking and comparison of a family of AI algorithms and technologies.
We test and evaluate AI methods and systems at individual performer and research program levels. We design evaluation methods and experiments, collect and prepare test data, develop evaluation software, conduct experiments, analyze observations, and report findings.
We provide the information technology infrastructure for research and collaboration across teams in a research program. For example, we can provide a Virtual Private Network (VPN) for conducting research with sensitive data or foster collaboration with a program-wide Wiki.
We develop program plans with “byte-sized” tasks and realistic milestones. We monitor project execution and deliver high-quality research products and solutions that exceed your customer’s expectations.