Education & Training
Students learn concepts and skills more quickly when they receive one-on-one instruction. Stottler Henke develops intelligent tutoring systems that provide the benefits of one-on-one training — automatically and cost-effectively. These systems encode the subject matter and teaching expertise of experienced instructors, using artificial intelligence software and cognitive psychology models. We have developed dozens of systems that provide practice-based learning for K-12 education, corporate training, professional development and military training.
Planning and Scheduling
Stottler Henke’s intelligent scheduling systems automatically solve scheduling problems which are too difficult for traditional optimization or dispatch rule techniques. Compared to manual methods, intelligent scheduling lets you create schedules much more quickly, as well as run “what-if” studies to assess alternate scenarios. Stottler Henke offers intelligent scheduling software products and custom solutions based on its Aurora™ scheduling engine.
Intelligent decision support systems help people assess situations, analyze information, and make predictions or decisions in areas such as equipment diagnosis, planning, and design. These systems apply the knowledge of experts, encoded as heuristic rules, computational models, or experiences.
Knowledge Management and Discovery
Our knowledge management and discovery systems capture the knowledge of in-house experts as rules, models, and case bases of previously encountered situations and solutions. These knowledge repositories enable advisory systems that help companies assess situations, diagnose and repair problems, and design products and processes more quickly and consistently. Our knowledge discovery systems extract valuable knowledge from large databases and help people conduct comprehensive online research.
Autonomous systems perform tasks and pursue goals in dynamic environments with little or no direct control by humans by sensing their environment and themselves, maintaining situation awareness based on this data, planning appropriately, and executing plans while reacting continuously to environmental and internal states. Typically this involves automatic fault detection, isolation, and recovery (FDIR); sensor processing, fusion, and perception; modeling the autonomous system and its goals and objectives, its environment, and other agents.