Artificial economic life: a simple model of a stockmarket
Proceedings of the NATO advanced research workshop and EGS topical workshop on Chaotic advection, tracer dynamics and turbulent dispersion
Extracting collective probabilistic forecasts from web games
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Explanation-Driven Case-Based Reasoning
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
Information incorporation in online in-Game sports betting markets
Proceedings of the 4th ACM conference on Electronic commerce
Case-Based Reasoning: Concepts, Features and Soft Computing
Applied Intelligence
Retrieval, reuse, revision and retention in case-based reasoning
The Knowledge Engineering Review
Case-Based Approximate Reasoning (Theory and Decision Library B)
Case-Based Approximate Reasoning (Theory and Decision Library B)
Stock market prediction with multiple classifiers
Applied Intelligence
Pricing combinatorial markets for tournaments
STOC '08 Proceedings of the fortieth annual ACM symposium on Theory of computing
Combinatorial prediction markets for event hierarchies
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
A CBR System for Knowing the Relationship between Flexibility and Operations Strategy
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
Price prediction in a trading agent competition
Journal of Artificial Intelligence Research
Betting Boolean-style: a framework for trading in securities based on logical formulas
Decision Support Systems - Special issue: The fourth ACM conference on electronic commerce
Price prediction in sports betting markets
MATES'10 Proceedings of the 8th German conference on Multiagent system technologies
Time series prediction evolving Voronoi regions
Applied Intelligence
Modeling information incorporation in markets, with application to detecting and explaining events
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Case learning for CBR-based collision avoidance systems
Applied Intelligence
The multi-agent system for prediction of financial time series
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Bayesian forecaster using class-based optimization
Applied Intelligence
Simultaneous optimization of artificial neural networks for financial forecasting
Applied Intelligence
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The sports betting market has emerged as one of the most lucrative markets in recent years. Trading in sports betting markets entails predicting odd movements in order to bet on an outcome, whilst also betting on the opposite outcome, at different odds in order to make a profit, regardless of the final result. These markets are mainly composed by humans, which take decisions according to their past experience in these markets. However, human rational reasoning is limited when taking quick decisions, being influenced by emotional factors and offering limited calibration capabilities for estimating probabilities. In this paper, we show how artificial techniques could be applied to this field and demonstrate that they can outperform even the bevahior of high-experienced humans. To achieve this goal, we propose a case-based reasoning model for trading in sports betting markets, which is integrated in an agent to provide it with the capabilities to take trading decisions based on future odd predictions. In order to test the performance of the system, we compare trading decisions taken by the agent with trading decisions taken by human traders when they compete in real sports betting markets.