of ENS’s for Experimental Studies on E-Negotiation and
University of Ottawa; Y. Yuan, McMaster University
University of Ottawa, M. Bichler, Technical University
of Munich; T. Bui,
University of Hawaii Manoa; J. Etezadi,
Concordia University; S.
Köszegi, Vienna University; M. Stroebel,
BMW; R. Vahidov, Concordia University; R.
Vetschera, Vienna University
This project builds upon the experience gained with Inspire and other
ENSs. It aims at the design of:
- Simple methods for preference elicitation and measurement.
- Holistic evaluation of outcomes.
- The construction of a decision and negotiation software environment
This project also aims at formulating principles for providing support
based on decision- and negotiation-analysis, knowledge-based support and
software agents in different configurations. The mechanisms will be used
for both user support and software agents’ choice mechanisms. This
will allow us to study and simulate various negotiation protocols, media,
support tools and knowledge-based software agents, and their implications
on the process and outcomes.
This system will be also used to study the
issues of adoption of ENS’s
which may involve software agents allowing for automation of certain
decision-making and negotiation tasks. We need to study what tasks and
under what conditions can be automated and how users can effectively
communicate with software agents. In addition, we will study validity
of the additive decomposed method used in the Inspire. Additive evaluation
function can perfectly reflect users preferences only if these preferences
satisfy the additive conjoint measurement axioms. We will use the exiting
data and also design experiments to study validity of this assumption
and will provide recommendation and or alternative approaches for situations
where these assumptions are violated.
- Development of the negotiation knowledge base.
- Bilateral and multi-bilateral negotiations in simple experimental
electronic market, pilot study.
- Design of e-negotiation protocols for the Invite software.
- Procedures and criteria used by human arbitrators for dispute resolution.
- Designing an optimal selection algorithm for ENS’s.
- Design, development and testing of software agents. Application in
- Study of the linearity assumption of the preferences using the existing
- Implementation of Danse in e-negotiation courses, preliminary experiments,
- Build a fuzzy rule-based arbitration supporting system for dispute
resolution. Usability testing and experiments.
- Design, development and testing of decision and negotiation software
for studying negotiation automation.