Utilize Predictive Data Analytics to predict Future or otherwise Unknown Events
GCAS Incorporated is a cutting-edge technology services and products company with more than 40 years of service and experience in support of our national defense missions. Over this time span, GCAS has been a leading pioneer in the development and applications in modeling, simulation, and analysis utilizing artificial intelligence (AI) techniques to develop software products and services for both government and commercial markets. The major focus of our business operations has been in the areas of probabilistic reasoning under rule-based expert systems, Kalman Filters, Markov Chains, Bayesian Networks, Decision Networks/Influence Diagrams, Probabilistic Relational Models, Neural Networks and other advanced statistical techniques. At GCAS, our main areas of expertise consist of:
GCAS specializes in Artificial Intelligence techniques such as Neural Networks, Machine Learning, expert systems, Bayesian Networks, Decision Networks, and autonomous agents, particularly for problems involving reasoning under uncertainty and systems that change over time.
GCAS’ experience spans many years of aerospace product development in dynamic control systems, structural dynamics and acoustic analysis, and dynamic testing.
Planning and Scheduling
GCAS Incorporated has several current efforts in automated and mixed-initiative A.I. planning and scheduling from a theoretical and practical aspect. In our theoretical research, we are developing the core technologies in knowledge representation for realistic planning domains, search techniques, and planning frameworks.
GCAS has designed a number of unique tools for developing applications for reasoning under uncertainty. These include a knowledge acquisition System for Probabilistic and Logical Reasoning (SPLORE) that integrates the state-of-the-art techniques in both logical and probabilistic reasoning through the complement of the Knowledge Machine (KM) and Probabilistic Relational Models (PRMs) languages, and Second order Uncertainty (SOU) that propagates the effects of intervals and probability distributions of uncertainty specified for both provided evidence and Conditional Probability Table (CPT) parameters in Bayesian Networks, and Utility Tables in Decision Networks.
Developed Solutions for a Wide Variety of Diverse Applications:
Corrosion and Material Deterioration
Planning, Scheduling, and Project Management
Acoustics, Structural Dynamics, and Controls
Radar Systems, Target Recognition, and Tracking
Other Significant Projects
GCAS specializes in Artificial Intelligence techniques such as Expert Systems, Bayesian Networks and Autonomous Agents, particularly for problems involving reasoning under uncertainty.
VIBRATION / ACOUSTICS: GCAS’s experience spans many years of aerospace product development in structural dynamics and acoustic analysis, testing and noise control.
Simulation and Modeling
Missile Tracking Simulation