The sciences of the artificial (3rd ed.)
The sciences of the artificial (3rd ed.)
On expectations and the monetary stakes in ultimatum games
International Journal of Game Theory - Special issue on laboratory investigations of expectations in games: the Amsterdam papers
Breeding competitive strategies
Management Science
Genetic programming learning and the Cobweb model
Advances in genetic programming
Evolutionary Computation in Economics and Finance
Evolutionary Computation in Economics and Finance
Genetic Algorithms and Genetic Programming in Computational Finance
Genetic Algorithms and Genetic Programming in Computational Finance
Modeling Expectations with GENEFER – an Artificial Intelligence Approach
Computational Economics
Agent-based computational economics: modeling economies as complex adaptive systems
Information Sciences—Informatics and Computer Science: An International Journal
The 2001 trading agent competition
Eighteenth national conference on Artificial intelligence
A Fuzzy-Logic Based Bidding Strategy for Autonomous Agents in Continuous Double Auctions
IEEE Transactions on Knowledge and Data Engineering
Information Sciences: an International Journal - Special issue: Computational intelligence in economics and finance
Agent-based computational modeling of the stock price-volume relation
Information Sciences: an International Journal - Special issue: Computational intelligence in economics and finance
Agent-human interactions in the continuous double auction
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Procurement Auctions for Differentiated Goods
Decision Analysis
Editorial: Computationally intelligent agents in economics and finance
Information Sciences: an International Journal
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Agent-based Methodology (ABM) is becoming indispensable for the inter disciplinary study of social and economic complex adaptive systems. The essence of ABM lies in the notion of autonomous agents whose behavior may evolve endogenously and can generate and mimic the corresponding complex system dynamics that the ABM is studying. Over the past decade, many Computational Intelligence (CI) methods have been applied to the design of autonomous agents, in particular, their adaptive schemes. This design issue is non-trivial since the chosen adaptive schemes usually have a profound impact on the generated system dynamics. Robert Lucas, one of the most influential modern economic theorists, has suggested using laboratories with human agents, also known as Experimental Economics, to help solve the selection issue. While this is a promising approach, laboratories used in the current experimental economics are not computationally equipped to meet the demands of the selection task. This paper attempts to materialize Lucas' suggestion by establishing a laboratory where human subjects are equipped with the computational power that satisfies the computational equivalencecondition.