Future infrastructures will be adaptive to comply with security policies established at the time of deployment and to allow systems to autonomously learn, by example, about acceptable changes in configuration and applications. Policies and trust inferences will be based on distributed similarity estimates within hierarchical functional groups which are autonomously formed as nodes exchange...

Future infrastructures will be adaptive to comply with security policies established at the time of deployment and to allow systems to autonomously learn, by example, about acceptable changes in configuration and applications. Policies and trust inferences will be based on distributed similarity estimates within hierarchical functional groups which are autonomously formed as nodes exchange information about their configuration and state. These self-regulating and self-healing infrastructures will provide the much needed flexibility and robustness to enable system security and information assurance capabilities for future military and civilian tactical infrastructures. To realize this vision, IHMC research scientists...

Computer systems that interact with their environment, such as self-driving vehicles, autopilot systems, and other robotic devices, may sometimes operate without people supervising or otherwise directly controlling their actions. Although not strictly independent of us, they may be said in some respects to be “autonomous,” insofar as they are sensing and interpreting the world,...

Computer systems that interact with their environment, such as self-driving vehicles, autopilot systems, and other robotic devices, may sometimes operate without people supervising or otherwise directly controlling their actions. Although not strictly independent of us, they may be said in some respects to be “autonomous,” insofar as they are sensing and interpreting the world, choosing actions, and adjusting their behavior to meet pre-defined goals through a feedback process. They are to some degree self-directed and self-sufficient. As such systems become more capable, people may assign them responsibilities and give them authority previously relegated to...

IHMC researchers develop conceptual and computational models of expert knowledge and reasoning, and of complex cognitive work, as a core element to the paradigm of human-centered computing. IHMC research in this area is conducted by Associate Director and Senior Research Scientist Alberto J. Cañas and Senior Research Scientists William J. Clancey and ...

IHMC researchers develop conceptual and computational models of expert knowledge and reasoning, and of complex cognitive work, as a core element to the paradigm of human-centered computing. IHMC research in this area is conducted by Associate Director and Senior Research Scientist Alberto J. Cañas and Senior Research Scientists William J. Clancey and Robert R. Hoffman. IHMC’s work on knowledge modeling involves representing a person’s understanding of a domain of knowledge in a form that others can easily comprehend. Such models are useful for learning, knowledge preservation, and organization of information. IHMC researchers have...