Trading Agent Design and Analysis
Papers from the 2013 AAAI Workshop
Vedran Podobnik, Workshop Chair
Trading agents are a prominent area of research in artificial intelligent and multi-agent systems. The design and analysis of trading agents poses significant challenges in decision-making, and many different artificial intelligence (AI) techniques have been combined in the study of trading agents, including planning, decision theory, game theory, machine learning, optimization, and others. In addition to research interest, trading agents have potential benefits in electronic commerce, supply chain management, and other business interests. This workshop focuses on all aspects of the design and evaluation of trading agents, including agent architectures, decision-making algorithms, theoretic analysis of agents or market games, empirical studies of agent performance, agent negotiation strategies, game-theoretic studies, market architectures, and other related topics are all within the scope of the workshop.