problem solvingI introduce algorithmic models for the study of strategic problem solving, aimed at illuminating the processes and procedures by which strategic managers and firms deal with complex problems. These models allow us to explore the relationship between the complexity of an environment, the ...
In the first two sections, we have discussed connections between two fields of study - the algorithmic foundations and the domains of information security and privacy. In this section, we delve into a particular case study when we use a solution of the setk-multicover problem to guarantee the...
making it impressive even to young students and non-experts. We outline the concept of binary decision trees for efficiently solving this problem and introduce the data
It will serve as a reference for researchers in each of these fields, and be used as a text for advanced undergraduate or graduate courses. The authors emphasize foundations to create a broad and rigorous treatment of their subject, with thorough presentations of distributed problem solving, game...
Continuous Models of Computation for Logic Programs: Importing Continuous Mathematics into Logic Programming's Algorithmic Foundations Logic programs may be construed as discrete-time and continuous-time dynamical systems with continuous states. Techniques for obtaining explicit formulatio... HA Blair,F Dush...
Section 3 lays out the foundations of algorithmic decision-making and rational behavior in the context of bank lending. Section 4 describes the Throughput Model, a decision-making model that has been successfully implemented in different areas such as auditing, ethics, trust, commercial lending, ...
Micro-foundations of organizational ambidexterity in the context of cross-border mergers and acquisitions Technological Forecasting and Social Change, 153 (2020), p. 119932, 10.1016/j.techfore.2020.119932 View PDFView articleView in ScopusGoogle Scholar Huovinen and Tihula, 2008 J. Huovinen, S. Ti...
doi:10.1142/S0129054114500257GHASEMI, TAHAGHASEMALIZADEH, HOSSEINRAZZAZI, MOHAMMADREZAWorld Scientific Publishing CompanyInternational Journal of Foundations of Computer Science
. Furthermore, there is a significant correlation between the changes in subjects' neural activity due to the introduction of algorithmic support and their levels of compliance with the algorithmic advice during decision-making. Additionally, the results show that neural measures outperform self-reported...
Broadly defined, an algorithm is a “process or set of rules to be followed in calculations or other problem-solving operations” (Oxford Dictionary2019). In the context of revenue and yield management, algorithms are used to maximize revenues and profits by calculating the optimal allocation of ...