An agent-based framework for building decision support systems
Decision Support Systems - Special issue on decision support technologies for complex and open organizations
A framework for applying intelligent agents to support electronic trading
Decision Support Systems
Theory of Modelling and Simulation
Theory of Modelling and Simulation
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Mastering the Sap Business Information Warehouse
Mastering the Sap Business Information Warehouse
Introduction to System Dynamics Modeling with Dynamo
Introduction to System Dynamics Modeling with Dynamo
Learning in multi-agent systems
The Knowledge Engineering Review
A Survey of Simulation Game Users, Former-Users, and Never-Users
Simulation and Gaming
Today's Business Simulation Industry
Simulation and Gaming
Changing mental models: Business simulation exercises
Simulation and Gaming
Editorial: Decision support in an uncertain and complex world
Decision Support Systems
Progress in Web-based decision support technologies
Decision Support Systems
An agent-based decision support system for wholesale electricity market
Decision Support Systems
A business intelligence system
IBM Journal of Research and Development
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Simulation based process design: Modeling and applications
Advanced Engineering Informatics
Conceptual modeling for simulation-based serious gaming
Decision Support Systems
Safe exploration of state and action spaces in reinforcement learning
Journal of Artificial Intelligence Research
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Business simulators are used for decision-making since different scenarios can be evaluated without risk. They are also used in business management education. The main goal of this paper is to introduce SIMBA (SIMulator for Business Administration), a new simulator that serves as a web-based platform for business education, permitting both classroom and distance education. This paper also adds a research aspect in business intelligence because SIMBA can be used as a fieldwork tool for the development and evaluation of intelligent agents. The simulator creates a more complex competitive environment in which intelligent agents play the role of business decision makers.