Symposium 1: Benefits of simulation for decision-making in sport: Using simulation techniques to study the influence of action and handedness on decision-making in expert soccer players

2003 ◽  
Author(s):  
Bachir Zoudji ◽  
Bettina Debu ◽  
Bernard Thon
Author(s):  
Grégory Hallé Petiot ◽  
Rodrigo Aquino ◽  
Felippe Cardoso ◽  
Rodrigo Santos ◽  
Israel Teoldo

Author(s):  
George Leal Jamil ◽  
Werner Silveira

This chapter discusses the potentialities and limitations of metaphors, as simulation techniques applied for decision-making businesses process. A special look is given to the orchestra metaphor, as it is possible to consider one of the most cited method for decades. Approaching orchestra formation definitions, a study of orchestra characteristics and peculiarities was conducted, resulting in an interesting inside view of the orchestra. A brief theoretical analysis about modelling techniques and its application in business process is also developed, allowing, at the end, to discuss how the orchestra metaphor can be applied in a useful way, encompassing several of the aspects we pointed in the text. This results as an orientation for the reader to understand how this specific technique – orchestra metaphor – can be effectively applied in decision-making processes of any level for organizations, escaping from mistakes usually committed when simple views for musical orchestras are adopted.


2020 ◽  
Vol 20 (6) ◽  
pp. 1143-1156
Author(s):  
João Vítor de Assis ◽  
Sixto González-Víllora ◽  
Filipe Manuel Clemente ◽  
Felippe Cardoso ◽  
Israel Teoldo

Author(s):  
IOANA RUS ◽  
MICHAEL HALLING ◽  
STEFAN BIFFL

Decision-making is a complex and important task in software engineering. The current state-of-the-practice is rather non-systematic as it typically relies upon personal judgment and experience without using explicit models. Empirical studies can help but they are costly to conduct and, to some extent, context dependent. Typically it is not efficient or even possible to conduct empirical studies for a large number of context parameter variations. Process simulation offers decision support as well, but currently suffers from a lack of empirical knowledge on the determinants of underlying system dynamics. In this paper we present an assessment of empirical knowledge and simulation techniques for the area of quality assurance planning. There is a strong interdependency between process simulation and empirical models for decision-making in this area: (a) profound empirical knowledge enables process simulation to support decision-making, and (b) the analysis of simulation results can point out situations and factors for which conducting empirical studies would be most worthwhile. This paper discusses critically some of the most important challenges for decision-making in the area of quality assurance planning.


2009 ◽  
Vol 31 (2) ◽  
pp. 135-151 ◽  
Author(s):  
Fabio E. Fontana ◽  
Oldemar Mazzardo ◽  
Comfort Mokgothu ◽  
Ovande Furtado ◽  
Jere D. Gallagher

The aim of this study was to examine the decision-making performance of experienced and inexperienced soccer players at four exercise intensities (rest, 40%, 60%, and 80% maximal aerobic power). The decision-making performance of inexperienced players was expected to demonstrate an inverted-U shape with increasing levels of exercise. For the experienced players, decision making was predicted to show no change in performance with increased exercise intensity. Thirty-two adult soccer players (16 experienced, 16 inexperienced) were asked to answer seven decision-making questions as quickly and accurately as possible for each exercise intensity. Results indicated that exercise does not affect the accuracy of decision making; however, the speed of decision making for experienced and inexperienced players improved with increased exercise intensity. These results suggest that physiologically induced arousal only affects speed of decision making.


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