Winner-takes-all and action selection

1999 ◽  
Vol 22 (4) ◽  
pp. 692-693
Author(s):  
Daniel V. Meegan
Keyword(s):  
Action Selection ◽  
Multiple Targets ◽  
Inherent Property ◽  
Winner Takes All ◽  
Sensory Map

Winner-takes-all (WTA) typically describes a mechanism for selecting the highest peak of activity in a sensory map that encodes independent representations of potential targets. To Findlay & Walker, WTA is an inherent property of a motor map that is incapable of representing multiple targets independently. Although the output of a WTA system should be characteristic of only one target, actions can be influenced by multiple targets.

Secondary Bifurcations in a Lotka–Volterra Model for N Competitors with Applications to Action Selection and Compulsive Behaviors

2014 ◽  
Vol 24 (12) ◽  
pp. 1450156 ◽  
Author(s):  
T. D. Frank
Keyword(s):  
Fixed Points ◽  
Growth Rates ◽  
Exponential Growth ◽  
Action Selection ◽  
Volterra Model ◽  
Selection Principle ◽  
Compulsive Behaviors ◽  
Winner Takes All ◽  
Secondary Bifurcations ◽  
Cross Inhibition

A Lotka–Volterra model for an arbitrary number of competitors is studied for different ratios of self-inhibition versus cross-inhibition. It is shown that winner-takes-all fixed points (states of single surviving species) are the only stable fixed points of the model when cross-inhibition exceeds self-inhibition. Secondary bifurcations in terms of bifurcations between winner-takes-all fixed points induced by changes in the exponential growth rates of competitors are studied and the critical control parameters are identified. A selection principle is derived that states that evolution proceeds in such a way that exponential growth rates of surviving competitors are magnified in evolutionary bifurcation steps. The interacting competitor model is applied as an amplitude equation model for interacting patterns of self-organizing pattern formation systems with an eye on action selection and compulsive behaviors in humans. The possibility is discussed that human behavior is subjected to the selection principle of "faster growth rates".

Eye movement in response to single and multiple targets.

1985 ◽  
Author(s):  
R. V. Kenyon ◽  
Y. Y. Zeevi ◽  
P. A. Wetzel ◽  
L. R. Young
Keyword(s):  
Eye Movement ◽  
Multiple Targets

Visual search for multiple targets gives no evidence of amnesic covert attention

2001 ◽  
Author(s):  
Jason S. McCarley ◽  
Matthew S. Peterson ◽  
Arthur F. Kramer ◽  
Ranxiao Frances Wang ◽  
David E. Irwin
Keyword(s):  
Visual Search ◽  
Covert Attention ◽  
Multiple Targets

Wettbewerb 4.0 – Was die Digitalisierung für Wettbewerb und Kartellrecht bedeutet

2020 ◽  
Vol 49 (2-3) ◽  
pp. 36-43
Author(s):  
Justus Haucap
Keyword(s):  
Digitale Plattformen ◽  
Winner Takes All

Während digitale Plattformen den Wettbewerb auf vielen Märkte intensiviert haben, besteht aufgrund des kippligen "Winner-takes-all"-Charakters dieser Märkte und der teils hohen Marktkonzentration auch ein erhöhtes Risiko einer Marktabschottung durch große Plattformen. Daher spricht einiges für neue wettbewerbspolitische Instrumente. Insbesondere Strategien, die Multi-Homing künstlich verhindern, sollten von Wettbewerbsbehörden noch vor der Entstehung einer Marktbeherrschung untersucht werden. Darüber hinaus sollte der Zugang zu Daten für Dritte grundsätzlich einfacher sein als bisher. In der Fusionskontrolle gibt es gute Gründe für eine Intensivierung mit Blick auf sogenannte "Killerakquisitionen". Allerdings muss eine Balance gefunden werden, um Innovations- und Gründungsanreize zu erhalten. Die aktuelle GWB-Novelle nimmt viele dieser Erkenntnisse aus der wettbewerbsökonomischen Forschung auf.

Sistem Pendukung Keputusan SNMPTN Jalur Undangan Dengan Metode Electre

2018 ◽  
Vol 3 ◽  
pp. 14
Author(s):  
Lidia K Simanjuntak ◽  
Tessa Y M Sihite ◽  
Mesran Mesran ◽  
Nuning Kurniasih ◽  
Yuhandri Yuhandri
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Action Selection ◽  
Multi Criteria Decision Making ◽  
Prospective Students ◽  
College Entrance ◽  
Electre Method ◽  
Selection Of

All colleges each year organize the selection of new admissions. Acceptance of prospective students in universities as education providers is done by selecting prospective students based on achievement in school and college entrance selection. To select the best student candidates based on predetermined criteria, then use Multi-Criteria Decision Making (MCDM) or commonly called decision support system. One method in MCDM is the Elimination Et Choix Traduisant la Reality (ELECTRE). The ELECTRE method is the best method of action selection. The ELECTRE method to obtain the best alternative by eliminating alternative that do not fit the criteria and can be applied to the decision SNMPTN invitation path.

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