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UCF EEL 6788 - Reaching Agreements

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Slide 1Slide 2Slide 3Slide 4Slide 5Slide 6Slide 7Slide 8Slide 9Slide 10Slide 11Slide 12Slide 13Slide 14Slide 15Slide 16Slide 17Slide 18Slide 19Slide 20Slide 21Slide 22Slide 23Slide 24Slide 25Slide 26Slide 27Slide 28Slide 29Slide 30Slide 31Slide 32Slide 33Slide 34Slide 35Slide 36Slide 37Slide 38Slide 39Slide 40Slide 41Slide 42Slide 43Slide 44Slide 45Slide 46Slide 477-1LECTURE 7: Reaching AgreementsAn Introduction to MultiAgent Systemshttp://www.csc.liv.ac.uk/~mjw/pubs/imas7-2Reaching AgreementsHow do agents reaching agreements when they are self interested?In an extreme case (zero sum encounter) no agreement is possible — but in most scenarios, there is potential for mutually beneficial agreement on matters of common interestThe capabilities of negotiation and argumentation are central to the ability of an agent to reach such agreements7-3Mechanisms, Protocols, and StrategiesNegotiation is governed by a particular mechanism, or protocolThe mechanism defines the “rules of encounter” between agentsMechanism design is designing mechanisms so that they have certain desirable propertiesGiven a particular protocol, how can a particular strategy be designed that individual agents can use?7-4Mechanism DesignDesirable properties of mechanisms:Convergence/guaranteed successMaximizing social welfarePareto efficiencyIndividual rationalityStabilitySimplicityDistribution7-5AuctionsAn auction takes place between an agent known as the auctioneer and a collection of agents known as the biddersThe goal of the auction is for the auctioneer to allocate the good to one of the biddersIn most settings the auctioneer desires to maximize the price; bidders desire to minimize price7-6Auction ParametersGoods can haveprivate valuepublic/common valuecorrelated valueWinner determination may befirst pricesecond priceBids may beopen crysealed bidBidding may beone shotascendingdescending7-7English AuctionsMost commonly known type of auction:first priceopen cryascendingDominant strategy is for agent to successively bid a small amount more than the current highest bid until it reaches their valuation, then withdrawSusceptible to:winner’s curseshills7-8Dutch AuctionsDutch auctions are examples of open-cry descending auctions:auctioneer starts by offering good at artificially high valueauctioneer lowers offer price until some agent makes a bid equal to the current offer pricethe good is then allocated to the agent that made the offer7-9First-Price Sealed-Bid AuctionsFirst-price sealed-bid auctions are one-shot auctions:there is a single roundbidders submit a sealed bid for the goodgood is allocated to agent that made highest bidwinner pays price of highest bidBest strategy is to bid less than true valuation7-10Vickrey AuctionsVickrey auctions are:second-pricesealed-bidGood is awarded to the agent that made the highest bid; at the price of the second highest bidBidding to your true valuation is dominant strategy in Vickrey auctionsVickrey auctions susceptible to antisocial behavior7-11Lies and CollusionThe various auction protocols are susceptible to lying on the part of the auctioneer, and collusion among bidders, to varying degreesAll four auctions (English, Dutch, First-Price Sealed Bid, Vickrey) can be manipulated by bidder collusionA dishonest auctioneer can exploit the Vickrey auction by lying about the 2nd-highest bidShills can be introduced to inflate bidding prices in English auctions7-12NegotiationAuctions are only concerned with the allocation of goods: richer techniques for reaching agreements are requiredNegotiation is the process of reaching agreements on matters of common interestAny negotiation setting will have four components:A negotiation set: possible proposals that agents can makeA protocolStrategies, one for each agent, which are privateA rule that determines when a deal has been struck and what the agreement deal isNegotiation usually proceeds in a series of rounds, with every agent making a proposal at every round7-13Negotiation in Task-Oriented DomainsImagine that you have three children, each of whom needs to be delivered to a different school each morning. Your neighbor has four children, and also needs to take them to school. Delivery of each child can be modeled as an indivisible task. You and your neighbor can discuss the situation, and come to an agreement that it is better for both of you (for example, by carrying the other’s child to a shared destination, saving him the trip). There is no concern about being able to achieve your task by yourself. The worst that can happen is that you and your neighbor won’t come to an agreement about setting up a car pool, in which case you are no worse off than if you were alone. You can only benefit (or do no worse) from your neighbor’s tasks. Assume, though, that one of my children and one of my neighbors’ children both go to the same school (that is, the cost of carrying out these two deliveries, or two tasks, is the same as the cost of carrying out one of them). It obviously makes sense for both children to be taken together, and only my neighbor or I will need to make the trip to carry out both tasks.--- Rules of Encounter, Rosenschein and Zlotkin, 19947-14Machines Controlling and Sharing ResourcesElectrical grids (load balancing)Telecommunications networks (routing)PDA’s (schedulers)Shared databases (intelligent access)Traffic control (coordination)7-15Heterogeneous, Self-motivated AgentsThe systems:are not centrally designeddo not have a notion of global utilityare dynamic (e.g., new types of agents)will not act “benevolently” unless it is in their interest to do so7-16Mechanism designSocial engineering for communities of machinesThe creation of interaction environments that foster certain kinds of social behaviorThe exploitation of game theory tools for high-level protocol designThe exploitation of game theory tools for high-level protocol design7-17Broad Working AssumptionDesigners (from different companies, countries, etc.) come together to agree on standards for how their automated agents will interact (in a given domain)Discuss various possibilities and their tradeoffs, and agree on protocols, strategies, and social laws to be implemented in their machines7-18Attributes of


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