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Motivation through the Design of Work: Test of a Theory. Organizational Behavior and Human Performance,

by ] Richard Hackman , Grec R Oldham , 1976
"... A model is proposed that specifies the conditions under which individuals will become internally motivated to perform effectively on their jobs. The model focuses on the interaction among three classes of variables: (a) the psychological states of employees that must be present for internally motiv ..."
Abstract - Cited by 622 (2 self) - Add to MetaCart
A model is proposed that specifies the conditions under which individuals will become internally motivated to perform effectively on their jobs. The model focuses on the interaction among three classes of variables: (a) the psychological states of employees that must be present for internally

Loopy belief propagation for approximate inference: An empirical study. In:

by Kevin P Murphy , Yair Weiss , Michael I Jordan - Proceedings of Uncertainty in AI, , 1999
"... Abstract Recently, researchers have demonstrated that "loopy belief propagation" -the use of Pearl's polytree algorithm in a Bayesian network with loops -can perform well in the context of error-correcting codes. The most dramatic instance of this is the near Shannon-limit performanc ..."
Abstract - Cited by 676 (15 self) - Add to MetaCart
of the leaves were represented by a noisy-or: ? (Child= OIParents) = e-Bo-L; B,Paren t; where 110 represents the "leak" term. The QMR-DT network The QMR-DT is a bipartite network whose structure is the same as that shown in figure 2 but the size is much larger. There are approximately 600 diseases

Knowledge Engineering for Planning-Based Hypothesis Generation

by Shirin Sohrabi, Octavian Udrea, Anton V. Riabov
"... In this paper, we address the knowledge engineering prob-lems for hypothesis generation motivated by applications that require timely exploration of hypotheses under unreliable ob-servations. We looked at two applications: malware detection and intensive care delivery. In intensive care, the goal is ..."
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need to use a planner capable of generating multiple high-quality plans. To capture the model description we propose a language called LTS++ and a web-based tool that enables the specification of the LTS++ model and a set of observations. We also proposed a 9-step process that helps provide guid

The Power of Amnesia: Learning Probabilistic Automata with Variable Memory Length

by Dana Ron, Yoram Singer, NAFTALI TISHBY - Machine Learning , 1996
"... . We propose and analyze a distribution learning algorithm for variable memory length Markov processes. These processes can be described by a subclass of probabilistic finite automata which we name Probabilistic Suffix Automata (PSA). Though hardness results are known for learning distributions gene ..."
Abstract - Cited by 226 (17 self) - Add to MetaCart
generated by general probabilistic automata, we prove that the algorithm we present can efficiently learn distributions generated by PSAs. In particular, we show that for any target PSA, the KL-divergence between the distribution generated by the target and the distribution generated by the hypothesis

Hypothesis-Testing Processes in Social Interaction

by Mark Snyder, William B. Swann - Journal of Personality and Social Psychology , 1978
"... This research is concerned with the processes by which individuals use social interaction to actively test hypotheses about other people. In four separate empirical investigations, female participants were provided with hypotheses about the personal attributes of other individuals ("targets ..."
Abstract - Cited by 77 (2 self) - Add to MetaCart
of the psychological processes believed to underlie and generate both the preferential search for hypothesis-confirming behavioral evidence and the interpersonal consequences of hypothesis-testing activities is presented. In the course of social relationships, individuals often attempt to make judgments about

Hypothesis Testing and Multiplicative Interaction Terms’,

by Bear F+ Braumoeller - International Organization , 2004
"... Abstract When a statistical equation incorporates a multiplicative term in an attempt to model interaction effects, the statistical significance of the lower-order coefficients is largely useless for the typical purposes of hypothesis testing+ This fact remains largely unappreciated in political sc ..."
Abstract - Cited by 91 (0 self) - Add to MetaCart
whether or not an interactive relationship between X 1 and X 2 can be said to exist+ The functional form may be something considerably more complex than basic multivariate regression, but the goal is the same+ Researchers make claims of the following nature: • b 1 is statistically significant; therefore

Character-based interactive storytelling

by Marc Cavazza, Fred Charles, Steven J. Mead - IEEE Intelligent Systems , 2002
"... is a privileged application of intelligent virtual-actors technology. The authors introduce their character-based interactive storytelling prototype that uses Hierarchical Task Network planning techniques, which support story generation and anytime user intervention. ..."
Abstract - Cited by 133 (18 self) - Add to MetaCart
is a privileged application of intelligent virtual-actors technology. The authors introduce their character-based interactive storytelling prototype that uses Hierarchical Task Network planning techniques, which support story generation and anytime user intervention.

Generalized linear mixed models: a practical guide for ecology and evolution.

by Benjamin M Bolker , Mollie E Brooks , Connie J Clark , Shane W Geange , John R Poulsen , M Henry , H Stevens , Jada-Simone S White - Trends in Ecology and Evolution, , 2009
"... How should ecologists and evolutionary biologists analyze nonnormal data that involve random effects? Nonnormal data such as counts or proportions often defy classical statistical procedures. Generalized linear mixed models (GLMMs) provide a more flexible approach for analyzing nonnormal data when ..."
Abstract - Cited by 183 (1 self) - Add to MetaCart
random effects are present. The explosion of research on GLMMs in the last decade has generated considerable uncertainty for practitioners in ecology and evolution. Despite the availability of accurate techniques for estimating GLMM parameters in simple cases, complex GLMMs are challenging to fit

A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks.

by Devarajan Sridharan , † ‡ , Daniel J Levitin , Vinod Menon - Proc Natl Acad Sci USA , 2008
"... Cognitively demanding tasks that evoke activation in the brain's central-executive network (CEN) have been consistently shown to evoke decreased activation (deactivation) in the default-mode network (DMN). The neural mechanisms underlying this switch between activation and deactivation of larg ..."
Abstract - Cited by 178 (1 self) - Add to MetaCart
events in the environment. Recent research suggests that the human brain is intrinsically organized into distinct functional networks that support these processes (1-4). Analysis of resting-state functional connectivity, using both model-based and model-free approaches, has suggested the existence

Integrality and Separability of Input Devices

by Robert J. K. Jacob, Linda E. Sibert, Daniel C. Mcfarlane, M. Preston Mullen - ACM Transactions on Computer-Human Interaction , 1994
"... Current input device taxonomies and other frameworks typically emphasize the mechanical structure of input devices. We suggest that selecting an appropriate input device for an interactive task requires looking beyond the physical structure of devices to the deeper perceptual structure of the task, ..."
Abstract - Cited by 159 (5 self) - Add to MetaCart
by subjects as they used the unconstrained three-dimensional tracker to perform each task. The results support our hypothesis and confirm the importance of matching the perceptual structure of the task and the control structure of the input device. Categories and Subject Descriptors: H.1.2 [Models
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