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Multi-Agent Systems for e-Commerce Virendra C. Bhavsar Professor and Director, Advanced Computational Research Laboratory Faculty of Computer Science, University of New Brunswick Fredericton, NB, Canada [email protected] Outline. Multi-Agent Systems

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slide1

Multi-Agent Systems for e-Commerce

Virendra C. Bhavsar

Professor and

Director, Advanced Computational Research Laboratory

Faculty of Computer Science, University of New Brunswick Fredericton, NB, Canada

[email protected]

outline
Outline
  • Multi-Agent Systems
  • Multi-Agent Systems and E-Commerce Applications
  • ACORN and Extensions
  • Areas for Collaboration
  • Conclusion
agents
Agents
  • “A software agent is an interface that looks like a person, acts like a person and even appears to think like one”
  • “An agent has mental properties, such as knowledge, belief, intention and obligation.” In addition, it may have mobility, rationality, …
multi agent systems for e commerce
Multi-Agent Systems for e-Commerce
  • User Preference Agents
  • Information Broker Agents
  • Buyer Agents
  • Seller Agents
  • Procurement Agents
  • ……….
slide5

Current Research Work

  •  Multi-Agent Systems
  • - with Dr. Ghorbani and Dr. Marsh (NRC,
  • Ottawa)
  • - Intelligent agents
  • - Keyphrase-based Information sharing
  • between agents
  • - Scalability and Performance Evaluation
  • - Applications to e-commerce and
  • bioinformatics
  • - with Dr. Mironov
  • Specification and verification of multi-agent systems
slide6

ACORN (Agent-based Community Oriented Retrieval Network) ArchitectureSteve Marsh, Institute for Information Technology, NRC Virendra C. Bhavsar, Ali A. Ghorbani, UNB- Keyphrase-based Information Sharing between Agents Hui Yu – MCS Thesis (UNB) MATA’2000 Paper- Performance Evaluation using Multiple Autonomous Virtual Users HPCS’2000 paper

acorn agent based community oriented retrieval routing network
ACORNAgent-Based Community-Oriented {Retrieval | Routing} Network
  • ACORN is a multi-agent based system for information diffusion and (limited) search in networks
  • In ACORN, all pieces of information are represented by semi-autonomous agents...- searches; documents; images, etc.
  • Intended to allow human users to collaborate closely
relation to other work
Relation to Other Work
  • Search Engines
    • Alta Vista, Excite, Yahoo, InfoSeek, Lycos, etc...
    • If the user has to search, it’s because the information diffusion is
      • not fast enough, not accurate enough
  • Recommender Systems
    • Firefly (Maes), Fab (Balabanovic)
    • Content-based or Collaborative
    • ACORN’s agents are a radical new approach, and a mixture of both...
    • ACORN is distributed
    • ACORN levers direct human-human contact knowledge
  • Matchmakers
    • Yenta (Foner)
    • Very close to the ACORN spirit, lacking in flexibility of ACORN
relation to other work cont
Relation to Other Work (cont.)
  • Web Page Watchers and Push Technologies
    • Tierra, Marimba, Channels
    • ACORN is a means of pushing new data, reducing the need to watch for changes
  • Filtering Systems
    • The filtering in ACORN is implicit in what is recommended by humans
  • ‘Knowbots’
    • Softbots (Washington, Etzioni, Weld), Nobots (Stanford, Shoham)
    • mobile agents for internet search
    • ACORN provides diffusion also
acorn
ACORN
  • Uses communication between agents representing pieces of information, ACORN automates some of the processes
    • Anyone can create agents, and direct them to parties they know will be interested
    • An Agent carries user profile
    • Agents can share information
multi agent systems b2b b2c extensions
Multi-Agent SystemsB2B-B2C Extensions
  • ACORN and B2B – B2C extensions

- User-driven personalisation

  • personalised and personalisable automatic delivery and search for information
  • directed advertisements based on user profiles and preferences
  • directed programming (both these examples based on interactive TV facilities such as those offered by iMagicTV and Microsoft interactive TV).
  • agent learning
  • data mining over large distributed networks and databases,
multi agent systems b2b b2c extensions1
Multi-Agent SystemsB2B-B2C Extensions
  • ACORN and B2B – B2C extensions

- the management of firms and user reputation (as in eBay\'s reputation manager, amongst others)

 finally leading into proposed standards and legal bases necessary for eCommerce

  • Perceived and actual user privacy
  • Automated and manually-driven user profile generation and update
multi agent systems b2b b2c extensions2
Multi-Agent SystemsB2B-B2C Extensions
  • Adaptation to Multi-processor machines at a single as well as multiple sites to exploit CA*NETIII
  • Usability Studies
  • XML objects instead of Java objects
trust in information systems ecommerce
Trust In Information Systems - eCommerce
  • Formalization of Trust: Steve Marsh (early 1990s)
  • Prototype version of an adaptable web site for eCommerce transactions
  • Trust in information systems:

- creation and sustainability

- user interface technologies

  • - user perceptions, behaviors, etc. and how to
  • influence and use such user behaviors.
  • - automatic user profile generation, its use in agent-based interfaces such as the trust reasoning adaptive web sites
trust in information systems ecommerce1
Trust In Information Systems - eCommerce
  • Adaptive technologies in general for eCommerce, education, entertainment
  • Personality in the user interface and how it can affect user trust and perceived satisfaction
multi agent systems for distributed databases
Multi-Agent Systems for Distributed Databases
  • Problem:Businesses are faced with continuous updating of their large and distributed databases connected on intranets and the Internet
  • Multi-Agent Systems

- Very naturally satisfy many requirements in such an environment

- Provide a very flexible and open architecture

- Scalability analysis with multiprocessor servers

conclusion
Conclusion
  • Parallel and Distributed Intelligent Systems
  • Multi-Agent Systems and ACORN
  • Applications in e-Commerce
  • B2B and B2C Extensions
  • Trust in Information Systems
  • Multi-Agent Systems for Distributed Databases
  • NRC Collaborations in the above and other areas
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