Search Results - subject:"Search algorithm"

Model of using the exhaustive search algorithm in solving of Traveling Salesman Problem (TSP) on The example of the transport network optimization of Primorje-Gorski Kotar County (...

Vukmirović, Slavomir; Čapko, Zvonko; Babic, Ana - In: Embracing diversity in organisations : 7th …, (pp. 391-401). 2019

This paper considers and presents a model of the use of an exhaustive search algorithm in solving problems of a … methods of modeling and programming in the design of the exhaustive search algorithm in the spreadsheet interface, enable … exhaustive search algorithm. In the example are also defined nodes that are common to both the two sets and that are connecting …

Persistent link: https://www.econbiz.de/10012118702

Self-Preferencing, Quality Provision, and Welfare in Mobile Application Markets

Teng, Xuan - 2022

algorithm that dropped several Apple's apps from top positions. I find that the search algorithm change leads to significantly … its equilibrium welfare effects in Apple App Store. I start by examining the effect of a change in the platform's search …

Persistent link: https://www.econbiz.de/10013470301

On Algorithmic Collusion and Reward-Punishment Schemes

Epivent, Andréa; Lambin, Xavier - 2022

A booming literature describes how artificial intelligence algorithms (AIAs) may autonomously learn to generate supra-competitive profits. Key to the widespread interpretation of the phenomena as ``collusion'', is the observation that the unilateral price cuts of an agent are followed by several...

Persistent link: https://www.econbiz.de/10014076676

Inflation, Market Failures, and Algorithms

Van Loo, Rory - 2022

Inflation is a problem of tremendous scale. But inflation itself is unlikely to cause the greatest economic harm during inflationary periods. Instead, a more likely source of devastation will be policymakers’ response to inflation. Their main anti-inflation tools, most notably increasing...

Persistent link: https://www.econbiz.de/10014076726

From Negative to Positive Algorithm Rights

Coglianese, Cary; Hefter, Kat - 2022

Artificial intelligence, or “AI,” is raising alarm bells. Advocates and scholars propose policies to constrain or even prohibit certain AI uses by governmental entities. These efforts to establish a negative right to be free from AI stem from an understandable motivation to protect the...

Persistent link: https://www.econbiz.de/10014076744

Competitive Algorithmic Targeting and Model Selection

Iyer, Ganesh; Ke, T. Tony - 2022

We consider competition between firms that design and use algorithms to target consumers. Firms first choose the design of a supervised learning algorithm in terms of the complexity of the model or the number of variables to accommodate. Each firm then appoints a data analyst to estimate demand...

Persistent link: https://www.econbiz.de/10014077202

Comparative Analysis Regulatory of AI and Algorithm in UK, EU and USA

Akinola, Olanrewaju; Tunbosun, Ogundipe Adebayo; … - 2022

Regulation may mean anything from setting limits on what can be created to determining which tasks must remain in the hands of humans. Lessig proposes the Techno regulatory approach, which protects the AI through making policies that affect the code with which the AI is programmed. Governments...

Persistent link: https://www.econbiz.de/10014077301

Pareto Stable Mechanism and its Algorithm for Many to Many Matching Problem with Quota

Xiong, Xinsheng; Wang, Xianjia - 2022

This paper discusses the Pareto-stable mechanism and its algorithm for many to many matching problem with quota. Firstly, we propose a Pareto stable matching algorithm, this algorithm consists of two subroutines called modified TTC algorithm and eliminate PI cycle algorithm. Secondly, we propose...

Persistent link: https://www.econbiz.de/10014077485

Forecasting Chinese GDP in a Data-Rich Environment : The Benefits of Machine Learning Algorithms

Zhang, Qin; Bian, Yong - 2022

We contribute to the burgeoning literature on macroeconomic forecasting by exploring the benefits of machine learning methods. The performance of machine learning algorithms, factor models and MIDAS in forecasting China’s real GDP growth rate is evaluated in an extensive pseudo out-of-sample...

Persistent link: https://www.econbiz.de/10014078982

Predicting Money Laundering Sanctions Using Machine Learning Algorithms

Lokanan, Mark - 2022

This article predicts the likelihood of a country being sanctioned by Basel for not adhering to anti-money laundering (AML) standards. Multiple machine learning algorithms were used to identify the strongest risk predictors, resulting in Basel sanctions against a country. In terms of sanction...

Persistent link: https://www.econbiz.de/10014079038