Reinforcement learning in strategic decision making

2014 ◽  
Vol 2014 (1) ◽  
pp. 12022
Author(s):  
Thorsten Grohsjean ◽  
Nils Stieglitz ◽  
Tobias Kretschmer
Keyword(s):  
Decision Making ◽  
Reinforcement Learning ◽  
Strategic Decision ◽  
Strategic Decision Making

scholarly journals Strategic Tasks for Explainable Reinforcement Learning

2019 ◽  
Vol 33 ◽  
pp. 10007-10008 ◽  
Author(s):  
Rey Pocius ◽  
Lawrence Neal ◽  
Alan Fern
Keyword(s):  
Decision Making ◽  
Reinforcement Learning ◽  
Learning Environment ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Sequential Decision Making ◽  
Sequential Decision ◽  
Level Control ◽  
Mini Games ◽  
High Level

Commonly used sequential decision making tasks such as the games in the Arcade Learning Environment (ALE) provide rich observation spaces suitable for deep reinforcement learning. However, they consist mostly of low-level control tasks which are of limited use for the development of explainable artificial intelligence(XAI) due to the fine temporal resolution of the tasks. Many of these domains also lack built-in high level abstractions and symbols. Existing tasks that provide for both strategic decision-making and rich observation spaces are either difficult to simulate or are intractable. We provide a set of new strategic decision-making tasks specialized for the development and evaluation of explainable AI methods, built as constrained mini-games within the StarCraft II Learning Environment.

scholarly journals HR Managers’ Emotions in Strategic Decision-Making Events: Evidence from Croatia

2021 ◽  
Vol 13 (2) ◽  
pp. 845
Author(s):  
Marli Gonan Božac ◽  
Katarina Kostelić
Keyword(s):  
Decision Making ◽  
Problem Solving ◽  
Strategic Planning ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Personal Perspective ◽  
Human Resource Managers ◽  
Organizational Perspective ◽  
Hr Managers ◽  
Experienced Emotion

The inclusion of emotions in the strategic decision-making research is long overdue. This paper deals with the emotions that human resource managers experience when they participate in a strategic problem-solving event or a strategic planning event. We examine the patterns in the intensity of experienced emotions with regard to event appraisal (from a personal perspective and the organization’s perspective), job satisfaction, and coexistence of emotions. The results reveal that enthusiasm is the most intensely experienced emotion for positively appraised strategic decision-making events, while frustration is the most intensely experienced emotion for negatively appraised problem-solving events, as is disappointment for strategic planning. The distinction between a personal and organizational perspective of the event appraisal reveals differences in experienced emotions, and the intensity of experienced anger is the best indicator of the difference in the event appraisals from the personal and organizational perspective. Both events reveal the variety of involved emotions and the coexistence of—not just various emotions, but also emotions of different dominant valence. The findings indicate that a strategic problem-solving event triggers greater emotional turmoil than a strategic planning event. The paper also discusses theoretical and practical implications.

scholarly journals Analysis of Customers’ Reactions to E-Commerce Companies Using Instagram Data

Proceedings ◽  
2021 ◽  
Vol 74 (1) ◽  
pp. 12
Author(s):  
Ekin Akkol
Keyword(s):  
Decision Making ◽  
Web Application ◽  
Customer Relations ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Stock Management ◽  
Decision Making Processes

The aim of this study is to develop a web application that supports decision-making processes on subjects—such as customer relations management, marketing, and stock management—with data such as posts, comments, and likes from Instagram to four e-commerce companies. In this context, the data obtained from the Instagram accounts of e-commerce companies were recorded in a database after the pre-processing and classification stages. A web application has been developed that can support managers in their decision-making processes at operational, tactical, and strategic decision-making levels by visualizing the data recorded in the database.

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