Collaborating Authors

computational representation

Using Multiple Representations to Simultaneously Learn Computational Thinking and Middle School Science

AAAI Conferences

Computational Thinking (CT) is considered a core competency in problem formulation and problem solving. We have developed the Computational Thinking using Simulation and Modeling (CTSiM) learning environment to help middle school students learn science and CT concepts simultaneously. In this paper, we present an approach that leverages multiple linked representations to help students learn by constructing and analyzing computational models of science topics. Results from a recent study show that students successfully use the linked representations to become better modelers and learners.

CARe: An Ontology for Representing Context of Activity-Aware Healthcare Environments

AAAI Conferences

Representing computational activities is still an open problem in the field of Activity-Aware Computing. In this paper, drawn from our experiences in developing activity-aware applications in support of two populations: nurses working in hospitals and elders living independently; we defined the Context Aware Representational (CARe) model. CARe is an ontology that enables the representation and management of computational activities. We illustrate, through application scenarios, that the CARe ontology is flexible enough to enable developers to c


AAAI Conferences

Computer Science has made important strides in recent years towards representing the brain and the mind as computer programs. For example, artificial neural networks are approximations of brain activity, while rulebased reasoning systems are approximations of mind activity. An important assumption of this work is that the brain and the mind are distinct, but interrelated entities, which raises the problem of characterizing the precise interaction between them. A popular theory of such interaction is epiphenomenalism - the view that mental activity is a side-effect, or a function of, brain activity. In this paper we review the essential concepts of representing brain and mind behaviors as computer programs.

Toward The Computational Representation of Individual Cognitive, Emotional, and Cultural State: A Peacekeeping Scenario Simulation

AAAI Conferences

The present paper outlines an approach to representing cognitive, cultural, and physiological variability in the computational representation an individual U.S. peacekeeper as he interacts with an unexpected target (two young Iraqi girls) in an ambiguous situation while faced with a high-consequence decision that will greatly impact subsequent events. This project sought to demonstrate steps toward a realistic computational representation of the variability encountered in individual human behavior. Realism, as conceptualized in this project, required that the human representation address the underlying psychological, cultural, physiological, and environmental stressors. A software model of a peacekeeping scenario adapted from a Desert Storm incident was developed in which the framework consisted of a computational instantiation of Recognition Primed Decision Making in the context of a Naturalistic Decision Making model (Klein, 1997). Recognition Primed Decision Making was augmented with an underlying foundation based on an understanding of human neurophysiology and it's relationship to human cognitive processes. The goal was to provide initial steps toward a computational representation of human variability in cultural, cognitive, and physiological (arousal, emotions, etc.) state order to attain a better understanding of the full depth of human decision-making processes in the context of ambiguity, novelty, and heightened arousal.