Neural networks for decision support: problems and opportunities
Decision Support Systems - Special issue on neural networks for decision support
Bankruptcy prediction using neural networks
Decision Support Systems - Special issue on neural networks for decision support
A Web-based platform for experimental investigation of electric power auctions
Decision Support Systems - Special issue on restructuring the electric power business—a new paradigm for reducing regulation
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
Knowledge assisted dynamic pricing for large-scale retailers
Decision Support Systems
Developing multi-agent systems with a FIPA-compliant agent framework
Software—Practice & Experience
Supporting managers' internal control evaluations: an expert system and experimental results
Decision Support Systems
Using soft computing to build real world intelligent decision support systems in uncertain domains
Decision Support Systems - Special issue on decision support in the new millennium
Computational Auction Mechanisms for Restructured Power Industry Operation
Computational Auction Mechanisms for Restructured Power Industry Operation
A new paradigm for computer-based decision support
Decision Support Systems - Special issue: Decision support systems: Directions for the next decade
A Generalized Definition of Rough Approximations Based on Similarity
IEEE Transactions on Knowledge and Data Engineering
Knowledge Discovery from Decision Tables by the Use of Multiple-Valued Logic
Artificial Intelligence Review
The RETSINA MAS Infrastructure
Autonomous Agents and Multi-Agent Systems
A knowledge-based decision support system for the management of parts and tools in FMS
Decision Support Systems
MAGE: An Agent-Oriented Programming Environment
ICCI '04 Proceedings of the Third IEEE International Conference on Cognitive Informatics
Mascem: A Multiagent System That Simulates Competitive Electricity Markets
IEEE Intelligent Systems
Decision Support Systems - Challenges of restructuring the power industry
Designing multi-agent systems: a framework and application
Expert Systems with Applications: An International Journal
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A multi-agent decision support system for stock trading
IEEE Network: The Magazine of Global Internetworking
Design and implementation of a decision support system for competitive electricity markets
Decision Support Systems
Two-level trust-based decision model for information assurance in a virtual organization
Decision Support Systems
Learning bidding strategies with autonomous agents in environments with unstable equilibrium
Decision Support Systems
Situated DSS for personal finance management: Design and evaluation
Information and Management
SIMBA: A simulator for business education and research
Decision Support Systems
Borrower Decision Aid for people-to-people lending
Decision Support Systems
Situated DSS for personal finance management: Design and evaluation
Information and Management
A framework for designing policies for networked systems with uncertainty
Decision Support Systems
Comparative analysis of data mining methods for bankruptcy prediction
Decision Support Systems
Expert Systems with Applications: An International Journal
Agent-based competitive simulation: exploring future retail energy markets
Proceedings of the 12th International Conference on Electronic Commerce: Roadmap for the Future of Electronic Business
International Journal of Intelligent Information Technologies
Electricity agents in smart grid markets
Computers in Industry
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Application software has been developed for analyzing and understanding a dynamic price change in the US wholesale power market. Traders can use the software as an effective decision-making tool by modeling and simulating a power market. The software uses different features of a decision support system by creating a framework for assessing new trading strategies in a competitive electricity trading environment. The practicality of the software is confirmed by comparing its estimation accuracy with those of other methods (e.g., neural network and genetic algorithm). The software has been applied to a data set regarding the California electricity crisis in order to examine whether the learning (convergence) speed of traders is different between the two periods (before and during the crisis). Such an application confirms the validity of the proposed software.