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This paper describes a computational cognitive model of human language processing under development in the ACT-R cognitive architecture. The paper begins with the context for the research, followed by a discussion of the primary theoretical and modeling commitments. The main theoretical commitment is to develop a language model which is at once functional(More)
Grammar encodes meaning. X-Bar Theory captures an important grammatical generalization. What is missing is a semantics of X-Bar Theory. This paper is a step towards providing such a semantics. In the process of providing a semantics for X-Bar Theory, certain modifications to X-Bar Theory are proposed to bring it into closer alignment with that semantics.(More)
We are developing a large-scale model of language comprehension in ACT-R 6 for use in the creation of a synthetic teammate that can function as the Air Vehicle Operator (AVO) in a three-person simulation of an Unmanned Aerial Vehicle (UAV) team performing a reconnaissance mission. The use of ACT-R 6 to implement the core components of this system reflects(More)
The goal of the ongoing project described in this paper is evaluation of the utility of Latent Semantic Analysis (LSA) for unsupervised word sense discrimination. The hypothesis is that LSA can be used to compute context vectors for ambiguous words that can be clustered together – with each cluster corresponding to a different sense of the word. In this(More)
The main objective of the Synthetic Teammate project is to develop language and task enabled synthetic agents capable of being integrated into team training simulations. To achieve this goal without detriment in team training, the synthetic agents must be capable of closely matching human behavior. The initial application for the Synthetic Teammate research(More)
This paper describes a research program for the creation of a large-scale model of language comprehension for use in the development of language enabled intelligent agents. The language comprehension system is being implemented using the ACT-R cognitive architecture and modeling environment and adopts the cognitive principles and constraints of that(More)
A key objective of cognitive modeling research at the Air Force Research Laboratory's Warfighter Training Research Division is to be able to explore the effects of background knowledge and task strategies on performance and learning of skills relevant to accomplishing the Air Force mission. In pursuit of that objective, this paper compares three variants of(More)
This paper describes current progress and future plans for research and development in synthetic teammates for applications in training, analysis, and system design for UAV operations. The development of these teammates involves the eventual integration of several distinct, yet related, basic and applied research lines, including navigation and orientation(More)