Jerry T. Ball

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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)
This paper explores the benefits and challenges of using the ACT-R cognitive architecture in the development of a large-scale, functional, cognitively motivated language analysis model. The paper focuses on chunks, inheritance, production matching and memory, proposing extensions to ACT-R to support multiple inheritance and suggesting a mapping from the(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)
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)
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)