Explanation Using Task Structure and Domain Functional Models

1993 ◽  
pp. 586-613 ◽  
Author(s):  
Michael C. Tanner ◽  
Anne M. Keuneke ◽  
B. Chandrasekaran
2002 ◽  
Author(s):  
Ben R. Newell ◽  
Nicola J. Weston ◽  
Richard Tunney ◽  
David R. Shanks

2008 ◽  
Author(s):  
Meghan E. Wright ◽  
Deana Davalos ◽  
Carly Yadon ◽  
Kelsey Keener

1983 ◽  
Vol 13 (1) ◽  
pp. 79-89 ◽  
Author(s):  
Steven Starker ◽  
Joan E. Starker

The decline and imminent death of an individual in a hospital's intensive care unit led to the creation of a transient group composed of family and friends. The dynamics of this tragic group are explored using the concepts provided by Social Systems theory. Ambiguity of the task structure and its inherent frustrations, fluidity of leadership and power, and failure of a utopian defense are all discussed as contributors to subsequent dissension and splitting. The social systems perspective provides a useful tool for understanding this naturally occurring group situation.


Author(s):  
Phanish Puranam

Division of labor involves task division and task allocation. An extremely important consequence of task division and allocation is the creation of interdependence between agents. In fact, division of labor can be seen as a process that converts interdependence between tasks into interdependence between agents. While there are many ways in which the task structure can be chunked and divided among agents, two important heuristic approaches involve division of labor by activity vs. object. I show that a choice between these two forms of division of labor only arises when the task structure is non-decomposable, but the product itself is decomposable. When the choice arises, a key criterion for selection between activity vs. object-based division of labor is the gain from specialization relative to the gain from customization.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Rannie Xu ◽  
Russell M. Church ◽  
Yuka Sasaki ◽  
Takeo Watanabe

AbstractOur ability to discriminate temporal intervals can be improved with practice. This learning is generally thought to reflect an enhancement in the representation of a trained interval, which leads to interval-specific improvements in temporal discrimination. In the present study, we asked whether temporal learning is further constrained by context-specific factors dictated through the trained stimulus and task structure. Two groups of participants were trained using a single-interval auditory discrimination task over 5 days. Training intervals were either one of eight predetermined values (FI group), or random from trial to trial (RI group). Before and after the training period, we measured discrimination performance using an untrained two-interval temporal comparison task. Our results revealed a selective improvement in the FI group, but not the RI group. However, this learning did not generalize between the trained and untrained tasks. These results highlight the sensitivity of TPL to stimulus and task structure, suggesting that mechanisms of temporal learning rely on processes beyond changes in interval representation.


GPS Solutions ◽  
2021 ◽  
Vol 25 (2) ◽  
Author(s):  
Luca Carlin ◽  
André Hauschild ◽  
Oliver Montenbruck

AbstractFor more than 20 years, precise point positioning (PPP) has been a well-established technique for carrier phase-based navigation. Traditionally, it relies on precise orbit and clock products to achieve accuracies in the order of centimeters. With the modernization of legacy GNSS constellations and the introduction of new systems such as Galileo, a continued reduction in the signal-in-space range error (SISRE) can be observed. Supported by this fact, we analyze the feasibility and performance of PPP with broadcast ephemerides and observations of Galileo and GPS. Two different functional models for compensation of SISREs are assessed: process noise in the ambiguity states and the explicit estimation of a SISRE state for each channel. Tests performed with permanent reference stations show that the position can be estimated in kinematic conditions with an average three-dimensional (3D) root mean square (RMS) error of 29 cm for Galileo and 63 cm for GPS. Dual-constellation solutions can further improve the accuracy to 25 cm. Compared to standard algorithms without SISRE compensation, the proposed PPP approaches offer a 40% performance improvement for Galileo and 70% for GPS when working with broadcast ephemerides. An additional test with observations taken on a boat ride yielded 3D RMS accuracy of 39 cm for Galileo, 41 cm for GPS, and 27 cm for dual-constellation processing compared to a real-time kinematic reference solution. Compared to the use of process noise in the phase ambiguity estimation, the explicit estimation of SISRE states yields a slightly improved robustness and accuracy at the expense of increased algorithmic complexity. Overall, the test results demonstrate that the application of broadcast ephemerides in a PPP model is feasible with modern GNSS constellations and able to reach accuracies in the order of few decimeters when using proper SISRE compensation techniques.


Sign in / Sign up

Export Citation Format

Share Document