Incorporating BDI Agents into Human-Agent Decision Making Research
ESAW '09 Proceedings of the 10th International Workshop on Engineering Societies in the Agents World X
A framework for building intelligent SLA negotiation strategies under time constraints
GECON'10 Proceedings of the 7th international conference on Economics of grids, clouds, systems, and services
IEA/AIE'11 Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part II
DipGame: A challenging negotiation testbed
Engineering Applications of Artificial Intelligence
A time-constrained SLA negotiation strategy in competitive computational grids
Future Generation Computer Systems
Using Gaussian processes to optimise concession in complex negotiations against unknown opponents
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume One
A novel strategy for efficient negotiation in complex environments
MATES'12 Proceedings of the 10th German conference on Multiagent System Technologies
Optimizing complex automated negotiation using sparse pseudo-input gaussian processes
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
An efficient automated negotiation strategy for complex environments
Engineering Applications of Artificial Intelligence
Conditional restricted Boltzmann machines for negotiations in highly competitive and complex domains
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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In this demo, we present Genius, a tool that facilitates research in the area of bilateral multi-issue negotiation. It implements an open architecture allowing easy development and integration of existing negotiating agents. Genius can be used to simulate individual negotiation sessions as well as tournaments between negotiating agents in various negotiation scenarios. It allows the specification of negotiation domains and preference profiles by means of a graphical user interface. A number of negotiating agent implementations as well as negotiation scenarios have been collected in Genius. Genius can be used in experiments with human negotiators that negotiate against automated agents or other humans. An analytical toolbox integrated in Genius calculates optimal solutions, such as the Pareto efficient frontier, Nash product and others. This toolbox may be used to visualize a negotiation process and creates an extensive log.