Intelligent System of Game-Theory-Based Decision Making in Smart Sports Industry

2021 ◽  
Vol 12 (3) ◽  
pp. 1-23
Author(s):  
Munish Bhatia
Keyword(s):  
Game Theory ◽  
Intelligent System ◽  
Performance Measure ◽  
Mathematical Framework ◽  
Decision Modeling ◽  
Sports Industry ◽  
Real Time Analysis ◽  
Measure Of Performance ◽  
Sports Arena ◽  
Athlete Performance

Internet of Things (IoT) technology backed by Artificial Intelligence (AI) techniques has been increasingly utilized for the realization of the Industry 4.0 vision. Conspicuously, this work provides a novel notion of the smart sports industry for provisioning efficient services in the sports arena. Specifically, an IoT-inspired framework has been proposed for real-time analysis of athlete performance. IoT data is utilized to quantify athlete performance in the terms of probability parameters of Probabilistic Measure of Performance (PMP) and Level of Performance Measure (LoPM). Moreover, a two-player game-theory-based mathematical framework has been presented for efficient decision modeling by the monitoring officials. The presented model is validated experimentally by deployment in District Sports Academy (DSA) for 60 days over four players. Based on the comparative analysis with state-of-the-art decision-modeling approaches, the proposed model acquired enhanced performance values in terms of Temporal Delay, Classification Efficiency, Statistical Efficacy, Correlation Analysis, and Reliability.

Development of an Air Combat Performance Measure

1988 ◽  
Vol 32 (18) ◽  
pp. 1207-1211
Author(s):  
Gary S. Thomas ◽  
David C. Miller
Keyword(s):  
Performance Feedback ◽  
Diagnostic Performance ◽  
Performance Measure ◽  
Regression Analyses ◽  
Rater Agreement ◽  
Air Combat ◽  
Measure Of Performance ◽  
Development And Validation ◽  
Neutral Posture ◽  
Visual Range

The purpose of this research was to formulate a unitary measure of performance for simulated one-versus-one, within visual range, air-to-air combat. The measure will serve as a criterion for the development and validation of specific measures of ACM skill that can be used to provide diagnostic performance feedback to pilots. Two experiments were conducted in which fighter pilots served as judges and rank-ordered, from most to least desirable, hypothetical ACM engagement outcomes. Outcome variables included (1) whether or not the hypothetical pilot achieved a “kill,” (2) whether or not he survived the mission, (3) the percent of time the pilot was in an offensive, defensive, or neutral posture, (4) length of engagement, and (5) posture at the beginning and end of the engagement (offensive, defensive, or neutral). In order to determine inter-rater agreement among judges in Experiment I, their rankings were correlated. Correlations ranged from .93 to .99. Pilots' rankings of engagement outcomes were subjected to linear regression analyses to derive equations that could be used as a unitary measure of ACM success. The regression equation in Experiment I accounted for 95% of the variance in rankings, and the composite regression model calculated in Experiment II accounted for more than 70% of the variance.

Novel Area Occupancy–Based Method for Passenger Car Unit Estimation on Multilane Urban Roads Under Heterogeneous Traffic Scenario

2017 ◽  
Vol 2615 (1) ◽  
pp. 82-94 ◽  
Author(s):  
Raunak Mishra ◽  
Pallav Kumar ◽  
Shriniwas S. Arkatkar ◽  
Ashoke Kumar Sarkar ◽  
Gaurang J. Joshi
Keyword(s):  
Traffic Flow ◽  
Performance Measure ◽  
Area Ratio ◽  
Heterogeneous Traffic ◽  
Passenger Car ◽  
Traffic Conditions ◽  
Passenger Car Unit ◽  
Wide Range ◽  
Traffic Volumes ◽  
Measure Of Performance

This research was aimed at developing an area occupancy–based method for estimating passenger car unit (PCU) values for vehicle categories under heterogeneous traffic conditions on multilane urban roads for a wide range of traffic flow levels. First, PCU values of vehicle categories were determined according to the Transport and Road Research Laboratory definition and replaced the commonly considered measure of performance speed with area occupancy using simulation. The PCU values obtained were found to be significantly different for different volume-to-capacity ratios; this result shows that the PCU value is dynamic in nature. While the dynamic nature of PCU values is well appreciated, practitioners may prefer a single set of optimized PCU values (unique for each vehicle category). Hence, a new method with a matrix solution was proposed to estimate the optimized or unique set of PCU values with area occupancy as the performance measure. To check the credibility of the proposed method, the estimated PCU values were compared from existing guidelines regulated by the Indian Roads Congress (IRC) and values estimated with the widely accepted dynamic PCU concept of speed–area ratio. Results show that the PCU values suggested by IRC and the dynamic PCU concept using the speed–area ratio underestimate and overestimate the flows, respectively, at different traffic volumes. However, the values obtained with the area-occupancy concept were found to be consistent with the traffic flow in a cars-only traffic situation at different flow conditions. The derived set of optimized PCU values proposed can be useful for traffic engineers, researchers, and practitioners for capacity and level-of-service analysis under heterogeneous traffic conditions.

scholarly journals Papers on pragmasemantics

2009 ◽  
Vol 51 ◽  
pp. 216
Author(s):  
Anton Benz ◽  
Reinhard Blutner
Keyword(s):  
Game Theory ◽  
Natural Language ◽  
Optimality Theory ◽  
Cognitive Skills ◽  
Research Programme ◽  
Strategic Interaction ◽  
Mathematical Framework ◽  
Game Theoretic ◽  
Bidirectional Optimality Theory ◽  
Game Theoretic Pragmatics

Optimality theory as used in linguistics (Prince & Smolensky, 1993/2004; Smolensky & Legendre, 2006) and cognitive psychology (Gigerenzer & Selten, 2001) is a theoretical framework that aims to integrate constraint based knowledge representation systems, generative grammar, cognitive skills, and aspects of neural network processing. In the last years considerable progress was made to overcome the artificial separation between the disciplines of linguistic on the one hand which are mainly concerned with the description of natural language competences and the psychological disciplines on the other hand which are interested in real language performance. The semantics and pragmatics of natural language is a research topic that is asking for an integration of philosophical, linguistic, psycholinguistic aspects, including its neural underpinning. Especially recent work on experimental pragmatics (e.g. Noveck & Sperber, 2005; Garrett & Harnish, 2007) has shown that real progress in the area of pragmatics isn’t possible without using data from all available domains including data from language acquisition and actual language generation and comprehension performance. It is a conceivable research programme to use the optimality theoretic framework in order to realize the integration. Game theoretic pragmatics is a relatively young development in pragmatics. The idea to view communication as a strategic interaction between speaker and hearer is not new. It is already present in Grice' (1975) classical paper on conversational implicatures. What game theory offers is a mathematical framework in which strategic interaction can be precisely described. It is a leading paradigm in economics as witnessed by a series of Nobel prizes in the field. It is also of growing importance to other disciplines of the social sciences. In linguistics, its main applications have been so far pragmatics and theoretical typology. For pragmatics, game theory promises a firm foundation, and a rigor which hopefully will allow studying pragmatic phenomena with the same precision as that achieved in formal semantics. The development of game theoretic pragmatics is closely connected to the development of bidirectional optimality theory (Blutner, 2000). It can be easily seen that the game theoretic notion of a Nash equilibrium and the optimality theoretic notion of a strongly optimal form-meaning pair are closely related to each other. The main impulse that bidirectional optimality theory gave to research on game theoretic pragmatics stemmed from serious empirical problems that resulted from interpreting the principle of weak optimality as a synchronic interpretation principle. In this volume, we have collected papers that are concerned with several aspects of game and optimality theoretic approaches to pragmatics.  

scholarly journals Determinants of Accounting and Market-based Performance Measures – Case of Croatian Non-financial Listed Companies

2021 ◽  
Vol 92 ◽  
pp. 02049
Author(s):  
Tomislava Pavic Kramaric ◽  
Marko Miletic ◽  
Damir Piplica
Keyword(s):  
Performance Measures ◽  
Firm Value ◽  
Positive Impact ◽  
Stock Exchange ◽  
Value Added ◽  
Listed Companies ◽  
Performance Measure ◽  
Tobin’S Q ◽  
Tobin's Q ◽  
Measure Of Performance

Research background: Profitability and the factors that determine it have always intrigued the scholars. Despite the large number of studies dealing with this topic at the international level, this paper sheds a new light on the issue since it deals with the listed companies in an emerging economy confronting two performance measures. Purpose of the article: The aim of this paper is to provide evidence on the performance of Croatian non-financial firms listed on the Zagreb Stock Exchange (ZSE). Methods: The analysis encompassed firms that operated in the 2015 – 2019 period. For this purpose, the authors confronted two performance measures, i.e. accounting-based performance measure represented with return on assets (ROA) whereas Tobin’s Q stands for the market-based measure of performance or firm value. Independent variables that served as potential determinants of listed companies’ performance include inventories management, productivity, liquidity measured with both current and quick ratio, and size calculated on the basis of total assets, and sales. Findings & Value added: After employing static panel analysis, the results reveal statistically significant influence of size variable based on assets in both models though it takes negative sign in the model where performance is measured with Tobin’s Q, whereas its positive impact on performance is recorded in ROA model. Furthermore, size based on total sales also positively affects performance when measured with ROA.

scholarly journals Modeling and Analyzing Stem-Cell Therapy toward Cancer: Evolutionary Game Theory Perspective

2020 ◽  
Author(s):  
Zahra VEISI ◽  
Heydar KHADEM ◽  
Samin RAVANSHADI
Keyword(s):  
Game Theory ◽  
Stem Cells ◽  
Stem Cell ◽  
Evolutionary Game Theory ◽  
Equilibrium Points ◽  
Evolutionary Game ◽  
Mathematical Framework ◽  
Replicator Equations ◽  
Different Types ◽  
Cancerous Cells

Background: Immunotherapy is a recently developed method of cancer therapy, aiming to strengthen a patient’s immune system in different ways to fight cancer. One of these ways is to add stem cells into the patient’s body. Methods: The study was conducted in Kermanshah, western Iran, 2016-2017. We first modeled the interaction between cancerous and healthy cells using the concept of evolutionary game theory. System dynamics were analyzed employing replicator equations and control theory notions. We categorized the system into separate cases based on the value of the parameters. For cases in which the system converged to undesired equilibrium points, “stem-cell injection” was employed as a therapeutic suggestion. The effect of stem cells on the model was considered by reforming the replicator equations as well as adding some new parameters to the system. Results: By adjusting stem cell-related parameters, the system converged to desired equilibrium points, i.e., points with no or a scanty level of cancerous cells. In addition to the theoretical analysis, our simulation results suggested solutions were effective in eliminating cancerous cells. Conclusion: This model could be applicable to different types of cancer, so we did not restrict it to a specific type of cancer. In fact, we were seeking a flexible mathematical framework that could cover different types of cancer by adjusting the system parameters.

The Market Structure of Professional Sports and the Implications for Stadium Construction and Team Movements

2012 ◽  
pp. 246-262
Author(s):  
Robert A. Baade
Keyword(s):  
Game Theory ◽  
Market Structure ◽  
Professional Sports ◽  
Sports Facilities ◽  
Substantial Role ◽  
Sports Industry ◽  
Unique Structure ◽  
Facility Construction ◽  
New Generation

This article explores the character of the commercial sports market, and how that unique structure affects the financing of sports facilities and the movement of teams. It also examines the extent to which individual team and league interests conflict, and the implications of such incompatibilities for league policy as it relates to the questions of facility financing and team relocation. Then, it argues that league policy as it relates to team movement and facility construction can be better understood through the application of game theory. New or significantly renovated playing facilities have substantially increased team revenues, and have provided impetus for franchise relocations from cities unwilling to subsidize the construction of the new generation of stadiums to communities that will. The structure of the professional sports industry has played a substantial role in determining the extent of stadium construction/renovation and team relocation.

scholarly journals A General Analytic Method for Assessing Sensitivity to Bias of Performance Measures for Dichotomous Forecasts

2009 ◽  
Vol 24 (1) ◽  
pp. 307-318 ◽  
Author(s):  
Keith F. Brill
Keyword(s):  
Performance Measures ◽  
Geometric Model ◽  
Performance Measure ◽  
Probability Of Detection ◽  
Performance Ratio ◽  
Performance Requirement ◽  
Optimal Value ◽  
Measure Of Performance ◽  
Assessing Sensitivity ◽  
A Performance

Abstract Performance measures computed from the 2 × 2 contingency table of outcomes for dichotomous forecasts are sensitive to bias. The method presented here evaluates how the probability of detection (POD) must change as bias changes so that a performance measure improves at a given value of bias. A critical performance ratio (CPR) of the change of POD to the change in bias is derived for a number of performance measures. If a change in POD associated with a bias change satisfies the CPR condition, the performance measure will indicate an improved forecast. If a perfect measure of performance existed, it would always exhibit its optimal value at bias equal to one. Actual measures of performance are susceptible to bias, indicating a better forecast for bias values not equal to one. The CPR is specifically applied to assess the conditions for an improvement toward a more favorable value of several commonly used performance measures as bias increases or decreases through the value one. All performance measures evaluated are found to have quantifiable bias sensitivity. The CPR is applied to analyzing a performance requirement and bias sensitivity in a geometric model.

scholarly journals Investigation of the transferability of hydrological models and a method to improve model calibration

2005 ◽  
Vol 5 ◽  
pp. 83-87 ◽  
Author(s):  
G. Hartmann ◽  
A. Bárdossy
Keyword(s):  
Model Calibration ◽  
Hydrological Model ◽  
Optimal Parameter ◽  
Model Performance ◽  
Calibration Procedure ◽  
Performance Measure ◽  
Distributed Hydrological Model ◽  
Improve Model ◽  
Spatially Distributed ◽  
Measure Of Performance

Abstract. In order to find a model parameterization such that the hydrological model performs well even under different conditions, appropriate model performance measures have to be determined. A common performance measure is the Nash Sutcliffe efficiency. Usually it is calculated comparing observed and modelled daily values. In this paper a modified version is suggested in order to calibrate a model on different time scales simultaneously (days up to years). A spatially distributed hydrological model based on HBV concept was used. The modelling was applied on the Upper Neckar catchment, a mesoscale river in south western Germany with a basin size of about 4000 km2. The observation period 1961-1990 was divided into four different climatic periods, referred to as "warm", "cold", "wet" and "dry". These sub periods were used to assess the transferability of the model calibration and of the measure of performance. In a first step, the hydrological model was calibrated on a certain period and afterwards applied on the same period. Then, a validation was performed on the climatologically opposite period than the calibration, e.g. the model calibrated on the cold period was applied on the warm period. Optimal parameter sets were identified by an automatic calibration procedure based on Simulated Annealing. The results show, that calibrating a hydrological model that is supposed to handle short as well as long term signals becomes an important task. Especially the objective function has to be chosen very carefully.

scholarly journals Use of Meta-Networks to Evaluate Key Agents, Knowledge and Resources in the Planning of Construction Projects

2018 ◽  
Vol 64 (3) ◽  
pp. 111-129 ◽  
Author(s):  
G. Śladowski
Keyword(s):  
Construction Projects ◽  
Structural Modification ◽  
Performance Measure ◽  
New Approach ◽  
Knowledge Resources ◽  
Case Study Analysis ◽  
Application Potential ◽  
Measure Of Performance ◽  
Means Of Production

AbstractThe article proposes a new approach to the identification of key agents, knowledge and resources required to complete tasks being performed as a part of construction projects. The author used the concept of meta-networks to model the relations between agents, knowledge, resources and tasks of a project. Up until now, the identification of key means of production employed a measure of performance of the project that was modelled using a meta-network. However, this measure is limited as it does not take into consideration the significance of individual tasks or the relations between them. The author thus proposed a structural modification of the performance measure for the purposes of identifying key agents, knowledge and resources of a planned project. A case study analysis has confirmed the application potential of the proposed approach. In practice, the results that were obtained can aid planners in evaluating the performance of a project’s plan. Information about key agents, knowledge and resources can constitute the basis for drafting alternative plans which would be more resistant to failure due to the possible loss of key means of production over the course of carrying out a project.

Central Concepts

2020 ◽  
pp. 13-26
Author(s):  
John M. McNamara ◽  
Olof Leimar
Keyword(s):  
Game Theory ◽  
Nash Equilibrium ◽  
Stability Condition ◽  
Performance Measure ◽  
Evolutionary Stability ◽  
Necessary Condition ◽  
Invasion Fitness ◽  
Mean Lifetime ◽  
Lifetime Number ◽  
The Mean

The chapter defines and discusses some of the central concepts in biological game theory. Strategies, which are rules for choosing actions as a function of state, play a pivotal role. It is explained how the theory operates at the level of strategies rather than attempting to follow the details of the underlying genetics that code for them. This is referred to as 'the phenotypic gambit', which is discussed and illustrated. The concept of the invasion fitness of a mutant strategy in a population that adopts another resident strategy is also central. This performance measure is used to give a necessary condition for evolutionary stability, formulated as the Nash equilibrium condition. It is explained how this stability condition can be reformulated in terms of simpler fitness proxies such as the mean lifetime number of offspring or the net rate of energy gain.

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