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In this paper, we present an alternative to the Turing Test that has some conceptual and practical advantages. Like the original, it involves responding to typed English sentences, and… (More)
Abstract Constraint propagation is often used in AI systems to perform inference about quantities. This paper studies one particular kind of constraint propagation, where quantities are labelled with… (More)
A central goal of artificial intelligence is to give a computer program commonsense understanding of basic domains such as time, space, simple laws of nature, and simple facts about human minds. Many… (More)
Several algorithms are presented for the nonpreemptlve assignment of n independent tasks to m unrelated processors One algorithm requires polynomial Ume in n and m and IS at most 2x/~ times worse… (More)
The TM-LPSAT planner can construct plans in domains containing atomic actions and durative actions; events and processes; discrete, real-valued, and interval-valued fluents; reusable resources, both… (More)
AI has seen great advances of many kinds recently, but there is one critical area where progress has been extremely slow: ordinary commonsense.
Abstract : This thesis presents a computational model of memory for spatial relations; how knowledge of geography may be represented, retrieved, and acquired. We focus particularly on the problems of… (More)
This paper studies the expressivity and computational complexity of networks of constraints of topological relations together with convexity. We consider constraint networks whose nodes are regular… (More)
This study examined the beliefs of church leaders about health and associations between these beliefs and the church health promotion environment (CHPE). Perceptions of the CHPE by leaders and… (More)
An increasingly popular theory holds that the mind should be viewed as a near-optimal or rational engine of probabilistic inference, in domains as diverse as word learning, pragmatics, naive physics,… (More)