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Institute for Visualization and Perception Research IV P R 1 © Copyright 1998 Haim Levkowitz Agents that buy and sell Maes, Guttman, Moukas MIT Media Lab
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Agents that buy and sell

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Agents that buy and sell. Maes, Guttman, Moukas MIT Media Lab. Overview. Physical vs. digital negotiations General agents overview Current electronic purchases Software agents properties and types Agents as mediators in e-commerce Future directions. Physical vs. digital negotiations. - PowerPoint PPT Presentation
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Page 1: Agents that buy and sell

Institute for Visualization and Perception ResearchI VPR 1

© Copyright 1998 Haim Levkowitz

Agents that buy and sell

• Maes, Guttman, Moukas

• MIT Media Lab

Page 2: Agents that buy and sell

Institute for Visualization and Perception ResearchI VPR 2

© Copyright 1998 Haim Levkowitz

Overview

• Physical vs. digital negotiations

• General agents overview

• Current electronic purchases

• Software agents properties and types

• Agents as mediators in e-commerce

• Future directions

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© Copyright 1998 Haim Levkowitz

Physical vs. digital negotiations

• “Real-world negotiations accrue transaction costs that may be too high for either consumers or merchants”

• “At the speed of bits, agents will strategically form and reform coalitions to bid on contracts and leverage economies of scale”

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© Copyright 1998 Haim Levkowitz

General agents overview• 1st generation agents

• Filter information

• Match people w/similar interests

• Automate repetitive behavior

• 2nd generation

• E-commerce ==> revolutionize

• business-to-business

• business-to-consumer

• consumer-to-consumer

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© Copyright 1998 Haim Levkowitz

Current electronic purchases• Automate

• Information

• Products, vendors

• Orders, payment

• Merchandise buyer: manually

• Seek merchants, products

• Enter purchase & payment info

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© Copyright 1998 Haim Levkowitz

Software agents properties and types

• Personalized

• Continuously running

• Semi autonomous

• ==> Optimize buying experience

• E.g., monitoring agents …

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© Copyright 1998 Haim Levkowitz

E.g., monitoring agents

• Monitor

• Quantity

• Usage patterns

• Invoke buying agent when low

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© Copyright 1998 Haim Levkowitz

Buying agents• Collect info: vendors, products• Evaluate offerings• Make decision to investigate: merchants,

products• Negotiate terms of transaction w/merchant• Place orders• Make auto payments

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© Copyright 1998 Haim Levkowitz

Agents as mediators in e-commerce• Buying behavior models & theories

• Six fundamental stages of buying process

• Role of agents as mediators in e-commerce

• Technologies / techniques in agents

• Negotiations

• Agent systems

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© Copyright 1998 Haim Levkowitz

Buying behavior models & theories• CBB: consumer buying behavior

• Other theories and models

• Nicosia

• Howard-Sheth

• Gugel-Blackwell

• Bettman info-processing

• Andreasen

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© Copyright 1998 Haim Levkowitz

Buying behavior models & theories (cont.)

• Approximation & simplification• Define similar fundamental stages• Help identify where agent technology

apply• Categorize existing systems

• Buying process: Six fundamental stages

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© Copyright 1998 Haim Levkowitz

Six fundamental stages of buying process

• Need identification

• Product brokering

• Merchant brokering

• Negotiation

• Pruchase and delivery

• Product service and evaluation

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© Copyright 1998 Haim Levkowitz

Need identification

• Buyer aware of unmet need

• Can motivate through product information

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© Copyright 1998 Haim Levkowitz

Product brokering

• Retrieve info: help determine what to buy

• Evaluate product alternatives

• ==> Buyer-provided criteria

• ==> “Consideration set” of products

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© Copyright 1998 Haim Levkowitz

Merchant brokering• Combine consideration set w/merchant-specific

info

• Evaluate merchant alternatives subject to buyer-provided criteria

• Price

• Warranty

• Availability

• Delivery time

• Reputation

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© Copyright 1998 Haim Levkowitz

Negotiation

• How to settle on terms of transaction

• Fixed

• Common in consumer products

• Negotiable

• Common in business-to-business

• Duration and complexity

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© Copyright 1998 Haim Levkowitz

Pruchase and delivery

• End of negotiation

• Other time (later?)

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© Copyright 1998 Haim Levkowitz

Product service and evaluation

• Post-purchase

• Product service

• Customer service

• Satisfaction evaluation

• Overall experience with decision

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© Copyright 1998 Haim Levkowitz

Role of agents as mediators in e-commerce

PersonaLogic

FireflyBargainFinder

Jango KasbahAuctionBot

T@T

Need ID

Productbrokering

x x x

Merchantbrokering

x x x

Negotiation x x x

Payment &delivery

Service &evaluation

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© Copyright 1998 Haim Levkowitz

Need identification

• Repetitive

• E.g., supplies

• Predictable

• E.g., habits

• How … monitors

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© Copyright 1998 Haim Levkowitz

Monitors

• Continuously running

• Monitor sets of

• Sensors

• Data streams

• Take actions

• When prespecified conditions apply

• Examples …

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© Copyright 1998 Haim Levkowitz

Examples

• Stock market

• E-commerce

• Amazon.com

• Notification agent (“eyes”)

• New book by

• author

• category

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© Copyright 1998 Haim Levkowitz

Product evaluation

• PersonaLogic ...

• Tete-a-Tete (T@T) ...

• Firefly ...

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© Copyright 1998 Haim Levkowitz

PersonaLogic• Define product features• Filter unwanted products

• Constraints on features• Constraint-satisfaction engine

• Return list of products• Satisfy shopper’s “hard constraints”• Prioritize by soft constraints

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© Copyright 1998 Haim Levkowitz

Tete-a-Tete (T@T)

• Comparable techniques

• Multiattribute utility theory

• Also

• Merchant brokering

• Negotiation

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© Copyright 1998 Haim Levkowitz

Firefly• Automated “word-of-mouth”

• Collaborative filtering• Compare ratings w/others’• Identify “nearest neighbors”

• Users w/similar tastes• Recommend products rated highly by

neighbors• Not yet rated by shopper

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© Copyright 1998 Haim Levkowitz

Firefly (cont.)• ==> Serendipitous finds

• Opinions of like-minded people

• Music

• Books

• More difficult to characterize

• Web pages

• Resraturants

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© Copyright 1998 Haim Levkowitz

Technologies / techniques for product evaluation

• Constrained-based ...

• Collaborative filtering ...

• Rule-based ...

• Data mining ...

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© Copyright 1998 Haim Levkowitz

Constrained-based

• PersonaLogic

• Tete-a-Tete

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© Copyright 1998 Haim Levkowitz

Collaborative filtering

• Firefly

• Other

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© Copyright 1998 Haim Levkowitz

Rule-based

• Broadvision, Inc.

• Personalize product offerings for individual customers

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© Copyright 1998 Haim Levkowitz

Data mining

• Patterns in customer purchasing behavior

• Help customers find products

• E.g., Engage

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© Copyright 1998 Haim Levkowitz

Merchant evaluation

• BargainFinder (Andersen Consulting) ...

• Jango …

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BargainFinder (Andersen Consulting)• Online price comparison

• 9 merchant Web sites (at least)

• 1/3 blocked

• Don’t compete on price only

• Also value-added services

• Others asked to be included

• Want to compete on prices

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© Copyright 1998 Haim Levkowitz

Jango ...

• “Advanced BargainFinder”

• Solve merchant-blocking

• Requests originate from requestor’s site

• Not agent’s

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© Copyright 1998 Haim Levkowitz

Technologies / techniques for merchant evaluation

• Current: build comparison shopping agent• Largely manual, tedious• Virtual database

• E.g., Junglee, Inc.• Learning• ==> Semi auto composing of “wrappers” for Web

sites• Future ...

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Future ...

• XML

• Mobile agents

• ==> Comparison-shopping agents

• Flexible

• Open ended

• Easier to implement

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© Copyright 1998 Haim Levkowitz

Negotiations

• Settle on

• Price

• Other terms of transaction

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© Copyright 1998 Haim Levkowitz

Negotiations: current

• Business-to-business

• Yes

• Retail

• Mostly fixed

• Only last 100 years

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© Copyright 1998 Haim Levkowitz

Dynamic negotiation of product price

• Benefits ...

• Impediments ...

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Dynamic negotiations: benefits

• Don’t need to determine a-priori value of goods, services

• Take to marketplace

• ==> Limited resources allocated fairly

• To those who value them most

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© Copyright 1998 Haim Levkowitz

Dynamic negotiations: impediments• E.g., auctions

• Geographical colocation at auction place

• Complicated, frustrating

• Extended period

• Not fit for impatient / time-constrained

• Generally cost too high for both

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© Copyright 1998 Haim Levkowitz

Dynamic negotiations in digital world• Impediments gone• E.g.,

• OnSale• eBay’s AuctionWeb

• No geographic colocation• Yes: manage own negotiation strategies

• Agent tech. can help

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© Copyright 1998 Haim Levkowitz

Agent systems that negotiate

• Auction Bot (U Mich) ...

• Kasbah (MIT MediaLab) ...

• Tete-a-Tete (MIT MediaLab) ...

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Auction Bot (U Mich)

• Internet auction server

• New auctions

• Auction type

• Parameters

• Clearing times

• Method for resolving tie bids

• Number of sellers permitted

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© Copyright 1998 Haim Levkowitz

Auction Bot (cont.)• Buyers & sellers bid

• Multilateral distributive negotiation protocol

• Advantage: API• ==> Users create own SW agents

• Autonomously compete in AB marketplace

• Users encode own bidding strategies

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© Copyright 1998 Haim Levkowitz

Kasbah (MIT MediaLab)

• Online

• Multiagent

• Consumer-to-consumer

• User (buy or sell)

• Create agent

• Give strategic directions

• Send off to centralized marketplace

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Kasbah (cont.)

• Proactive• Seek out buyers / sellers• Negotiate on behalf of owners

• Goal• Complete acceptable deal on behalf of

user• Subject to set of user constraints

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© Copyright 1998 Haim Levkowitz

Kasbah (cont.): user constraints

• Initial bidding (asking) price

• Lowest (highest) acceptable price

• Date to complete

• Restrictions on parties to negotiate with

• Price change over time

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Kasbah (cont.)

• After match, only valid action

• Buying agents offer bid

• No restriction on time, price

• Selling agents

• Binding “yes”

• “No”

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Kasbah negotiation strategies

• Anxious

• Linear

• Cool-headed

• Quadratic

• Frugal

• Exponential

Seller Buyer

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© Copyright 1998 Haim Levkowitz

Kasbah negotiation strategies (cont.)

• Simplicity

• ==> Users understand what agents do

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Kasbah: trust & reputation (“BBB”)• Upon completion both parties may rate

other party, e.g.,• Accuracy of product condition• Completion of transaction

• Agents use accumulated ratings• Determine agents of owners who fall

below specified reputation threshold ==> no negotiation

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© Copyright 1998 Haim Levkowitz

Tete-a-Tete (MIT MediaLab)• Unique approach to retail sales

• Consumer-owned shopping agents

• Merchant-owned sales agents

• Cooperative negotiations

• Multiple terms of transactions ...

• Bilateral argumentation

• Integrative negotiations ...

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© Copyright 1998 Haim Levkowitz

Multiple terms of transactions• Warranties

• Delivery times

• Service contracts

• Return policies

• Loan options

• Gift services

• Other merchant value-added services

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Integrative negotiations

• Exchange of XML-based

• Properties

• Critiques

• Counter proposals

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Tete-a-Tete: Negotiations (cont.)• E.g., shopping agent get

• Multiple proposals from sales agents

• Each proposal: complete product offering

• Product

• Configuration

• Price

• Other terms

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Tete-a-Tete: Negotiations (cont.)

• Shopping agent

• Evaluate based on owner’s pref’s

• Multiattribute utilities

• Order

• Shopper: if dissatisfied can critique along any dimension(s)

• Agent broadcast pref’s changes to sales agents

• ==> Counter proposal

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Tete-a-Tete: Negotiations (cont.)

• Consider

• Product features ...

• ==> Whom to buy from

• Merchant features ...

• ==> What to buy

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© Copyright 1998 Haim Levkowitz

Product features

• ==> Whom to buy from

• E.g., certain configuration only from certain merchant

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Merchant features

• ==> What to buy

• E.g., get alternate product to get overnight delivery

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Future directions

• Agents help buyer & seller

• Combat info overload

• Expedite specific stages

• First generation agents

• Create new markets ...

• Reduce transaction costs ...

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Create new markets

• E.g., low cost consumer-to-consumer goods

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Reduce transaction costs

• Effected most, initially

• Perishables

• Travel

• Theater / concert tickets

• Network BW availability

• Surplus inventory & commodities ...

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Surplus inventory & commodities

• Gas

• Electricity

• Pencils

• Music

• Books

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Future (cont.)• Still need changes• Agent technologies need to

• Better manage• Ambiguous content• Personalized preferences• Complex goals• Changing environments• Disconnected parties

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Future (cont.)

• Standards

• Unambiguously & universally define

• Goods & services

• Consumer & merchant profiles

• Value-added services

• Secure payment mechanisms

• Interbusiness electronic forms

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Future (cont.)

• Further

• New types of transactions

• Dynamic relationships among unknown parties

• Create dynamic business partnerships that exist only as long as necessary

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Future (cont.)

• ==> 3rd generation agent-mediated e-commerce

• ==> Market --> perfect efficiency

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Links• PersonaLogic: www.personalogic.com

• Firefly: www. firefly.com

• BargainFinder: bf.cstar.ac.com/bf

• Jango: jango.excite.com

• OnSale: www.onsale.com

• eBay AuctionWeb: www.ebay.com/aw

• AuctionBot: auction.eecs.umich.edu

• Kasbah: kasbah.media.mit.edu

• Tete-a-tete: ecommerce.media.mit.edu/tete-a-tete