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Relevant bibliographies by topics / Race Model Architecture

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Journal articles

Academic literature on the topic 'Race Model Architecture'

Author: Grafiati

Published: 6 September 2023

Last updated: 7 September 2023

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Journal articles on the topic "Race Model Architecture"

1

Townsend, James T., and Georgie Nozawa. "Serial exhaustive models can violate the race model inequality: Implications for architecture and capacity." Psychological Review 104, no. 3 (1997): 595–602. http://dx.doi.org/10.1037/0033-295x.104.3.595.

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2

Samuel, Arthur G. "Merge: Contorted architecture, distorted facts, and purported autonomy." Behavioral and Brain Sciences 23, no. 3 (2000): 345–46. http://dx.doi.org/10.1017/s0140525x00443244.

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Norris, McQueen & Cutler claim that Merge is an autonomous model, superior to the interactive TRACE model and the autonomous Race model. Merge is actually an interactive model, despite claims to the contrary. The presentation of the literature seriously distorts many findings, in order to advocate autonomy. It is Merge's interactivity that allows it to simulate findings in the literature.

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3

Pugin, Konstantin V., Kirill A. Mamrosenko, and Alexander M. Giatsintov. "Software architecture for display controller and operating system interaction." Radioelectronics. Nanosystems. Information Technologies. 13, no. 1 (2021): 87–94. http://dx.doi.org/10.17725/rensit.2021.13.087.

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Article describes solutions for developing programs that provide interaction between Linux operating system and multiple display controller hardware blocks (outputs), that use one clock generation IP-block with phase-locked loop (PLL). There is no API for such devices in Linux, thus new software model was developed. This model is based on official Linux GPU developer driver model, but was modified to cover case described earlier. Article describes three models for display controller driver development – monolithic, component and semi-monolithic. These models cannot cover case described earlier

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4

Otto, Thomas U., and Pascal Mamassian. "Multisensory Decisions: the Test of a Race Model, Its Logic, and Power." Multisensory Research 30, no. 1 (2017): 1–24. http://dx.doi.org/10.1163/22134808-00002541.

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The use of separate multisensory signals is often beneficial. A prominent example is the speed-up of responses to two redundant signals relative to the components, which is known as the redundant signals effect (RSE). A convenient explanation for the effect is statistical facilitation, which is inherent in the basic architecture of race models (Raab, 1962,Trans. N. Y. Acad. Sci.24, 574–590). However, this class of models has been largely rejected in multisensory research, which we think results from an ambiguity in definitions and misinterpretations of the influential race model test (Miller,

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5

Maull, Thomas, and Adriano Schommer. "Optimizing Torque Delivery for an Energy-Limited Electric Race Car Using Model Predictive Control." World Electric Vehicle Journal 13, no. 12 (2022): 224. http://dx.doi.org/10.3390/wevj13120224.

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This paper presents a torque controller for the energy optimization of the powertrain of an electric Formula Student race car. Limited battery capacity within electric race car designs requires energy management solutions to minimize lap time while simultaneously controlling and managing the overall energy consumption to finish the race. The energy-managing torque control algorithm developed in this work optimizes the finite onboard energy from the battery pack to reduce lap time and energy consumption when energy deficits occur. The longitudinal dynamics of the vehicle were represented by a l

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Marewski, Julian N., and Katja Mehlhorn. "Using the ACT-R architecture to specify 39 quantitative process models of decision making." Judgment and Decision Making 6, no. 6 (2011): 439–519. http://dx.doi.org/10.1017/s1930297500002473.

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AbstractHypotheses about decision processes are often formulated qualitatively and remain silent about the interplay of decision, memorial, and other cognitive processes. At the same time, existing decision models are specified at varying levels of detail, making it difficult to compare them. We provide a methodological primer on how detailed cognitive architectures such as ACT-R allow remedying these problems. To make our point, we address a controversy, namely, whether noncompensatory or compensatory processes better describe how people make decisions from the accessibility of memories. We s

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7

Venkataratamani, Prasanna Venkhatesh, and Aditya Murthy. "Distinct mechanisms explain the control of reach speed planning: evidence from a race model framework." Journal of Neurophysiology 120, no. 3 (2018): 1293–306. http://dx.doi.org/10.1152/jn.00707.2017.

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Previous studies have investigated the computational architecture underlying the voluntary control of reach movements that demands a change in position or direction of movement planning. Here we used a novel task in which subjects had to either increase or decrease the movement speed according to a change in target color that occurred randomly during a trial. The applicability of different race models to such a speed redirect task was assessed. We found that the predictions of an independent race model that instantiated an abort-and-replan strategy was consistent with all aspects of performanc

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8

Spataro, Davide, Donato D’Ambrosio, Giuseppe Filippone, Rocco Rongo, William Spataro, and Davide Marocco. "The new SCIARA-fv3 numerical model and acceleration by GPGPU strategies." International Journal of High Performance Computing Applications 31, no. 2 (2016): 163–76. http://dx.doi.org/10.1177/1094342015584520.

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This paper presents the parallel implementation, using the Compute Unified Device Architecture (CUDA) architecture, of the SCIARA-fv3 Complex Cellular Automata model for simulating lava flows. The computational model is based on a Bingham-like rheology and both flow velocity and the physical time corresponding to a computational step have been made explicit. The parallelization design has involved, among other issues, the application of strategies that can avoid incorrect computation results due to race conditions and achieving the best performance and occupancy of the underlying available har

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9

Pinho, João, Gabriel Costa, Pedro U. Lima, and Miguel Ayala Botto. "Learning-Based Model Predictive Control for Autonomous Racing." World Electric Vehicle Journal 14, no. 7 (2023): 163. http://dx.doi.org/10.3390/wevj14070163.

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In this paper, we present the adaptation of the terminal component learning-based model predictive control (TC-LMPC) architecture for autonomous racing to the Formula Student Driverless (FSD) context. We test the TC-LMPC architecture, a reference-free controller that is able to learn from previous iterations by building an appropriate terminal safe set and terminal cost from collected trajectories and input sequences, in a vehicle simulator dedicated to the FSD competition. One major problem in autonomous racing is the difficulty in obtaining accurate highly nonlinear vehicle models that cover

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10

Corneil, Brian D., and James K. Elsley. "Countermanding Eye-Head Gaze Shifts in Humans: Marching Orders Are Delivered to the Head First." Journal of Neurophysiology 94, no. 1 (2005): 883–95. http://dx.doi.org/10.1152/jn.01171.2004.

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The countermanding task requires subjects to cancel a planned movement on appearance of a stop signal, providing insights into response generation and suppression. Here, we studied human eye-head gaze shifts in a countermanding task with targets located beyond the horizontal oculomotor range. Consistent with head-restrained saccadic countermanding studies, the proportion of gaze shifts on stop trials increased the longer the stop signal was delayed after target presentation, and gaze shift stop-signal reaction times (SSRTs: a derived statistic measuring how long it takes to cancel a movement)

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