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CSCE475/875 Multiagent Systems Fall 2015

HANDOUTS PAGE

• Presentation 1: Multiagent Systems: Local Decisions vs. Global Coherence (August 25, 2015)

• Reading 1: Kirkpatrick, K. (2015). The Moral Challenges of Driverless Cars, Communications of the ACM, vol. 58, no. 8, pp. 19-20 (August 25, 2015)

• Handout 1: Resources in Agents and Multiagent Systems (August 25, 2015)

• Handout 2: Distributed Constraint Satisfaction (August 25, 2015)

• Handout 3: Some Real World Examples (August 25, 2015)

• URL 1: Graph coloring: US Map (August 25, 2015)

• URL 2: Min-conflicts at work (August 25, 2015)

• Handout 4: Notes on Distributed Optimization (September 1, 2015)

• URL 3: 15-tile puzzle (September 1, 2015)

• URL 4: Amazon Algorithm Price War Leads to $23.6-Million-Dollar Book Listing (September 3, 2015)

• Handout 5: Background on a Game-Theoretic View on MAS (September 08, 2015)
  • Supplement (September 8, 2015)

• Handout 6: Strategies in Normal-Form Games (September 8, 2015)

• Handout 7: From Optimality to Equibrilium (September 8, 2015)

• URL 5: Prisoner's Dilemma (September 8, 2015)

• URL 6: Prisoner's Dilemma & Pareto Dominance (September 10, 2015)

• URL 7: Nash Equilibrium Example 1 (September 8, 2015)

• URL 8: Nash Equilibrium Example 2 (September 8, 2015)

• URL 9: Route Optimization? Powerlines at the Sandhills ... (September 8, 2015)

• More on poker agents using Nash Equilibrium from the poker group at University of Alberta, Canada. In particular:
  • http://poker.cs.ualberta.ca/publications/NIPS07-cfr.pdf
  • http://poker.cs.ualberta.ca/publications/AAMAS10.pdf

• Handout 8: Learning and Communication (September 15, 2015)

• Handout 9: Learning and Teaching (September 15, 2015)

• Handout 10: Fictitious Play (September 15, 2015)

• Handout 11: Rational Learning (Bayesian Learning) (September 15, 2015)

• Reading 2: Dan Hill (2015). How Much is Your Spare Room Worth? The Secret of Airbnb's Pricing Algorithm, IEEE Spectrum, September, pp. 32-36, 57-58. (September 15, 2015)

• Reading 3: Mark Harris (2015). State of Automation: Why California Rules the obocar Industry, IEEE Spectrum, September, p. 18. (September 15, 2015)

• Reading 4: Gregory Mone (2015). Sensing Emotions, Communications of the ACM, vol. 58, no. 9, pp. 15-16. (September 15, 2015)

• URL 8: Game of Chicken: Kevin Bacon in Footloose (September 15, 2015)

• Handout 12: Reinforcement Learning and Other Learning (September 15, 2015)

• URL 9: Reinforcement Learning Example 1 (September 15, 2015)

• URL 10: Reinforcement Learning Example 2 Robotic Soccer Goalkeeper (September 15, 2015)

• URL 11: Reinforcement Learning Example 3 A Crawling Robot (September 15, 2015)

• URL 12: Reinforcement Learning Example 4 Self Modeling (September 15, 2015)

• URL 13: Reinforcement Learning Example 5 Walking Spider (September 15, 2015)

• URL 14: Self-assembly in a robot swarm (September 17, 2015)

• Handout 13: Game Day 1: Learning Day Analysis (September 25, 2015)

• Handout 14: Basics of Aggregating Preferences: Social Choice (September 29, 2015)

• Handout 15: Voting Methods (September 29, 2015)

• Handout 16: Voting Paradoxes (September 29, 2015)

• Handout 17: The Impossibility Theorems (October 1, 2015)

• Handout 18 Application: Ranking Systems (October 1, 2015)

• Handout 19: Why Mechanism Design? (October 6, 2015)

• Handout 20: Implementations in Mechanism Design and the Revelation Principle (October 6, 2015)

• Handout 21: The Impossibility Theorems, Continued! (October 8, 2015)

• Handout 22: Efficient Groves Mechanisms and Clarke Tax (October 8, 2015)

• Reading 5: T. G. Dietterich and E. J. Horvitz (2015). Viewpoint: Rise of COncerns about AI: Reflections and Directionseview of Sociology, Communications of the ACM, 58(10):38-41 (October 13, 2015)

• Reading 6: M. W. Macy and R. Willer (2002). From Factors to Actors: Computational Sociology and Agent-Based Modeling, Annual Review of Sociology, vol. 28, pp. 143-166 (October 13, 2015)

• Talk 01: Computational Sociology and Agent-Based Modeling (October 13, 2015)

• Handout 23: Game Day 2: Voting Day Analyis (October 20, 2015)

• Handout 24: Single-Good Auctions (October 27, 2015)

• URL 12: English auction example ... (October 27, 2015)

• URL 13: Dutch auction example ... (October 27, 2015)

• URL 13: How not to bid at auction ... (October 27, 2015)

• URL 14: Importance of clearing rules ... (October 27, 2015)

• Handout 25: "You Can't Handle the Truth!" (October 27, 2015)

• Handout 26: Factors and Variations in Auctions (October 27, 2015)

• Handout 27: Collusion and Winner's Curse (October 27, 2015)

• Handout 28: Other Types of Auctions (October 29, 2015)

• Reading 7: Business Insider: "How to Win at QuiBids Auctions-Which Might Just Mean Stay Away", www.businessinsider.com (October 29, 2015)

• Reading 8: Purple Pricing: Northwestern Finds a Solution to the Flawed Way College Football Teams Sell Tickets, by Kevin Trahan Link (October 29, 2015)

• Handout 29: Game Day 3: Auction Day Analysis (November 6, 2015)

• Handout 30: Topics Covered (November 10, 2015)

• Talk 02: Swarm Intelligence (December 01, 2015)

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