Advances in technology have made it ever easier to collect and store data.  While the amount of data has increased tremendously, data collection is often opportunistic: There is only limited control over what, when, and how much data is collected, leading to inconsistency and fragmentary and uneven coverage.  In addition, the connections one might...

Advances in technology have made it ever easier to collect and store data.  While the amount of data has increased tremendously, data collection is often opportunistic: There is only limited control over what, when, and how much data is collected, leading to inconsistency and fragmentary and uneven coverage.  In addition, the connections one might seek from the data are almost always non-deterministic and uncertain. Traditional statistical and logical analyses are inadequate in many of these situations. IHMC researchers James Allen, Greg Dubbin, Clark Glymour and Choh Man Teng work on a...

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...

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...