Search Results - subject:"algorithms"

Socio-technical design of algorithms : fairness, accountability, and transparency

Shin, Don D.H. - 2019

Algorithms play increasingly critical roles these days. With the conceptualization of algorithms as a socio … such as privacy, transparency, and fairness emerge as critical concerns of the social ramifications of algorithms and their … impact on the new information milieu. With these rising issues, the questions are raised as to how to govern algorithms and …

Persistent link: https://www.econbiz.de/10012153766

The use of evolutionary algorithms for optimization in the modern entrepreneurial economy : interdisciplinary perspective

Sieja, Marek; Wach, Krzysztof - In: Entrepreneurial business and economics review : EBER 7 (2019) 4, pp. 117-130

Objective: The objective of the article is to present the concept of evolutionary algorithms and indicates the … evolutionary algorithms as the broadly applied search and optimisation technique based on Darwin’s theory of evolution and modern … natural genetics. The article focuses on the examples of evolutionary algorithms application in economics and management …

Persistent link: https://www.econbiz.de/10012515915

Human-algorithm interaction: Algorithmic pricing in hybrid laboratory markets

Normann, Hans-Theo; Sternberg, Martin - 2022

significantly affect collusion, although humans do seem to perceive algorithms as more disruptive. …

Persistent link: https://www.econbiz.de/10013415133

Exact algorithms for multiobjective linear optimization problems with integer variables: A state of the art survey

Halffmann, Pascal; Schäfer, Luca E.; Dächert, Kerstin; … - In: Journal of Multi‐Criteria Decision Analysis 29 (2022) 5-6, pp. 341-363

We provide a comprehensive overview of the literature of algorithmic approaches for multiobjective mixed‐integer and integer linear optimization problems. More precisely, we categorize and display exact methods for multiobjective linear problems with integer variables for computing the entire...

Persistent link: https://www.econbiz.de/10013465301

Bao, Yongping; Danwitz, Ludwig; Dvorak, Fabian; … - 2022

Algorithm-based decision support systems play an increasingly important role in decisions involving exploration tasks, such as product searches, portfolio choices, and human resource procurement. These tasks often involve a trade-off between exploration and exploitation, which can be highly...

Persistent link: https://www.econbiz.de/10014290098

Fair governance with humans and machines

Hermstrüwer, Yoan; Langenbach, Pascal - 2022

How fair are government decisions based on algorithmic predictions? And to what extent can the government delegate decisions to machines without sacrificing procedural fairness? Using a set of vignettes in the context of predictive policing, school admissions, and refugee-matching, we explore...

Persistent link: https://www.econbiz.de/10014327020

Systemic acquired critique of credit card deception exposure through machine learning

Dantas, Rui Miguel; Firdaus, Raheela; Jaleel, Farrokh; … - In: Journal of Open Innovation: Technology, Market, and … 8 (2022) 4, pp. 1-20

A wide range of recent studies are focusing on current issues of financial fraud, especially concerning cybercrimes. The reason behind this is even with improved security, a great amount of money loss occurs every year due to credit card fraud. In recent days, ATM fraud has decreased, while...

Persistent link: https://www.econbiz.de/10014329692

Initialization of metaheuristics: comprehensive review, critical analysis, and research directions

Sarhani, Malek; Voß, Stefan; Jovanovic, Raka - In: International Transactions in Operational Research 30 (2022) 6, pp. 3361-3397

Initialization of metaheuristics is a crucial topic that lacks a comprehensive and systematic review of the state of the art. Providing such a review requires in‐depth study and knowledge of the advances and challenges in the broader field of metaheuristics, especially with regard to...

Persistent link: https://www.econbiz.de/10014503452

Beware the performance of an algorithm before relying on it: Evidence from a stock price forecasting experiment

Tse, Tiffany Tsz Kwan; Hanaki, Nobuyuki; Mao, Bolin - 2022

We experimentally investigated the relationship between participants' reliance on algorithms, their familiarity with … degree of reliance on high and low performing algorithms did not significantly differ for participants with little experience … results suggest that, at least in some domains, excessive reliance on algorithms, rather than algorithm aversion, should be a …

Persistent link: https://www.econbiz.de/10014540362

Systematic review: YouTube recommendations and problematic content

Yesilada, Muhsin; Lewandowsky, Stephan - In: Internet Policy Review 11 (2022) 1, pp. 1-22

There has been much concern that social media, in particular YouTube, may facilitate radicalisation and polarisation of online audiences. This systematic review aimed to determine whether the YouTube recommender system facilitates pathways to problematic content such as extremist or radicalising...

Persistent link: https://www.econbiz.de/10013194749