Version 45 (modified by mark, 12 years ago) ( diff )

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Welcome to the Negotiation Project

Research Projects

Opponent Models in Negotiation

Opponent models in bilateral negotiation.

Time Pressure in Negotiation

Time pressure in bilateral negotiation.



GENIUS

GENIUS is a negotiation environment that implements an open architecture for heterogeneous negotiating agents. It provides the basis for an implementation of a testbed for negotiating agents that includes a set of negotiation problems for benchmarking agents, a library of negotiation strategies, and analytical tools to evaluate an agent's performance and their strategies allows user.

SVN Branches

BranchFeaturesStatus
GeniusBICell 2Inactive (June 2011)
GeniusConverterCell 2Cell 3
GeniusCoreCell 2Cell 3
GeniusCoreXStreamCell 2Cell 3
GeniusGUICell 5Inactive (March 2011)
GeniusMultiLateralCell 5Cell 6
GeniusMultiLateralNonlinearCell 5Cell 6
GeniusNegotiatingSalesmanCell 5Cell 6
GeniusSCell 5Inactive (November 2010)
GeniusTeamNegoCell 5Cell 6
GeniusWebCell 5Inactive (November 2011)
GeniusWebDelftCell 5Cell 6
GeniusWebSimulatorCell 5Cell 6
NegotiatorCell 5Inactive (June 2008)
Negotiator20Cell 5Inactive (June 2008)
NegotiatorGRIDCell 5Inactive (October 2010)
NegotiatorGUIVersion used to run ANAC competition. Non-web version of Genius which contains BOA framework and distributed tournament running.Active
NegotiatorProtocolBranch of old version of Genius (3.0). Non-web version of Genius which implements WSagreement protocol, which allows to specify the ranges of issues in an offer (for example: the price for the laptop should be between 800 and 900). A WSAgent is a more generic version of a normal agent. Therefore, normal agents are not compatible with the protocol.Inactive (April 2009)
NegotiatorWebCell 5Inactive (August 2009)

Advertising material

Automated Negotiating Agents Competition (ANAC'10)
GENIUS folder

Documentation

User guide
Architecture overview
Programmer's guide
Technologies used in Genius

GENIUS in Education

IN4010 Master course AI Techniques (first-year master course).
Summer schools

Agents implemented in GENIUS

NMS Agent (Bayesian Agent)
Zero Intelligence Agent (Random Walker)
ABMP Agent
Trade-Off Agent

Attachments (6)

Download all attachments as: .zip

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