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Creating human-like synthetic characters with multiple skill-levels : A case study using the Soar quakebot
- in: AAAI Fall Symposium Technical Report
, 2000
"... This paper reports on a preliminary attempt to develop and evaluate synthetic characters with multiple skill levels and with human-like behavior. Our goal was to determine which aspects of behavior have impact on skill level and humanness. We developed a bot that plays the computer game Quake agains ..."
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Cited by 40 (0 self)
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This paper reports on a preliminary attempt to develop and evaluate synthetic characters with multiple skill levels and with human-like behavior. Our goal was to determine which aspects of behavior have impact on skill level and humanness. We developed a bot that plays the computer game Quake
Supporting efficient development of cognitive models at multiple skill levels: Exploring recent advances in constraintbased modelling
- In Proceedings of the ACM Conference on Human Factors and Computing Systems, CHI'05
, 2005
"... This paper presents X-PRT, a new cognitive modeling tool supporting activities ranging from interface design to basic cognitive research. X-PRT provides a graphical model development environment for the CORE constraint-based cognitive modeling engine [7,13,21]. X-PRT comprises a novel feature set: ( ..."
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Cited by 19 (3 self)
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: (a) it supports the automatic generation of predictive models at multiple skill levels from a single taskspecification, (b) it supports a comprehensive set of modeling activities, and (c) it supports compositional reuse of existing cognitive/perceptual/motor skills by transforming high-level
Creating Human-like Synthetic Characters with Multiple Skill Levels: A Case Study using the Soar Quakebot
, 2001
"... This paper reports on a preliminary attempt to develop and evaluate synthetic characters with multiple skill levels and with human-like behavior. Our goal was to determine which aspects of behavior have impact on skill level and humanness. We developed a bot that plays the computer game Quake agains ..."
Abstract
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This paper reports on a preliminary attempt to develop and evaluate synthetic characters with multiple skill levels and with human-like behavior. Our goal was to determine which aspects of behavior have impact on skill level and humanness. We developed a bot that plays the computer game Quake
Information Technology, Workplace Organization and the Demand for Skilled Labor: Firm-level Evidence
, 2000
"... ..."
Exploration, normalization, and summaries of high density oligonucleotide array probe level data.
- Biostatistics,
, 2003
"... SUMMARY In this paper we report exploratory analyses of high-density oligonucleotide array data from the Affymetrix GeneChip R system with the objective of improving upon currently used measures of gene expression. Our analyses make use of three data sets: a small experimental study consisting of f ..."
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Cited by 854 (33 self)
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familiar features of the perfect match and mismatch probe (P M and M M) values of these data, and examine the variance-mean relationship with probe-level data from probes believed to be defective, and so delivering noise only. We explain why we need to normalize the arrays to one another using probe level
Normalization for cDNA microarray data: a robust composite method addressing single and multiple slide systematic variation
, 2002
"... There are many sources of systematic variation in cDNA microarray experiments which affect the measured gene expression levels (e.g. differences in labeling efficiency between the two fluorescent dyes). The term normalization refers to the process of removing such variation. A constant adjustment is ..."
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Cited by 718 (9 self)
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There are many sources of systematic variation in cDNA microarray experiments which affect the measured gene expression levels (e.g. differences in labeling efficiency between the two fluorescent dyes). The term normalization refers to the process of removing such variation. A constant adjustment
Discovery of Multiple-Level Association Rules from Large Databases
- In Proc. 1995 Int. Conf. Very Large Data Bases
, 1995
"... Previous studies on mining association rules find rules at single concept level, however, mining association rules at multiple concept levels may lead to the discovery of more specific and concrete knowledge from data. In this study, a top-down progressive deepening method is developed for mining mu ..."
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Cited by 463 (34 self)
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Previous studies on mining association rules find rules at single concept level, however, mining association rules at multiple concept levels may lead to the discovery of more specific and concrete knowledge from data. In this study, a top-down progressive deepening method is developed for mining
A distributed, developmental model of word recognition and naming
- PSYCHOLOGICAL REVIEW
, 1989
"... A parallel distributed processing model of visual word recognition and pronunciation is described. The model consists of sets of orthographic and phonological units and an interlevel of hidden units. Weights on connections between units were modified during a training phase using the back-propagatio ..."
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Cited by 706 (49 self)
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-propagation learning algorithm. The model simulates many aspects of human performance, including (a) differences between words in terms of processing difficulty, (b) pronunciation of novel items, (c) differences between readers in terms of word recognition skill, (d) transitions from beginning to skilled reading
Energy Conserving Routing in Wireless Ad-hoc Networks
, 2000
"... An ad-hoc network of wireless static nodes is considered as it arises in a rapidly deployed, sensor based, monitoring system. Information is generated in certain nodes and needs to reach a set of designated gateway nodes. Each node may adjust its power within a certain range that determines the set ..."
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Cited by 622 (2 self)
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the set of possible one hop away neighbors. Traffic forwarding through multiple hops is employed when the intended destination is not within immediate reach. The nodes have limited initial amounts of energy that is consumed in different rates depending on the power level and the intended receiver. We
Bayesian Interpolation
- NEURAL COMPUTATION
, 1991
"... Although Bayesian analysis has been in use since Laplace, the Bayesian method of model--comparison has only recently been developed in depth. In this paper, the Bayesian approach to regularisation and model--comparison is demonstrated by studying the inference problem of interpolating noisy data. T ..."
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Cited by 728 (17 self)
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. `Occam's razor' is automatically embodied by this framework. The way in which Bayes infers the values of regularising constants and noise levels has an elegant interpretation in terms of the effective number of parameters determined by the data set. This framework is due to Gull and Skilling.
Results 1 - 10
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65,790