Course Project 2

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Course Project Topics from Previous Semesters:

Literature Critiques

  • Multi-agent data mining: Survey of existing approaches and the potential applicability of an agent-based economic market approach.
  • Survey and critical discussion of current technology used for business-to-business Internet markets, and the potential role of agent-based technology in B-to-B Internet markets.
  • Critique of selected ACE duopoly (two-firm) studies
  • Alternative approaches to game theory (evolutionary vs. classical) in relation to ACE modeling of strategic interaction.
  • The importance of increasing returns and path dependence for the development of high technology goods (Microsoft Antitrust Case)
  • Critique of selected chapters from Andy Clark's book Being There: Putting Brain, Body, and World Together Again
  • Critique of studies of eBay and other auction markets using agent-based computational modeling
  • Critique of studies on the performance of "Zero-Intelligent (ZI)" traders in double-auction markets. (How important is agent learning in highly structured market contexts?)
  • A critique of agent-based software engineering (does agent-oriented programming represent a fundamental advance relative to OOP?)
  • A comparative study of two artificial stock market models (Santa Fe ASM and a model due to Doyne Farmer)

Experimental Studies using Originally Developed Software

  • An ACE stock market model in which learning agents receiving a stream of actual historical stock market data can condition their investment strategies on fundamental information and/or on data patterns relied on by commonly used technical trading rules (RSI, Bolling Band,...).
  • The effect of memory length on the iterated prisoner's dilemma game
  • A graphical agent construction kit for the iterated prisoner's dilemma game (generalizable to other games)
  • Hunters: An Agent-Based Artificial Society, by Andy Schlei.
  • A three-player iterated prisoner's dilemma tournament
  • Experimental studies using variously extended versions of Chris Cook's Schelling Segregation Model Demo
  • Fine-tuning Brian Arthur's El Farol Bar Problem (systematic experiments to explore the robustness of Arthur's key findings)
  • Learning in double auctions: A comparison of reinforcement learning with learning represented via genetic programming automata (due to Dan Ashlock)
  • The movement of labor and firms in a closed circular-flow economy
  • An agent-based model of price-formation in an electronic auction
  • Agent-based tools for the forecasting of airline demand
  • IPD: How an agent's "conscience" affects the evolution of cooperation
  • An artificial stock market model
  • An agent-based model for the experimental study of the economic effects of prohibiting smoking in bars
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