Research

Would you like to conduct research on automated negoitation? Contact us for possible collaborations, internships, BSc. or MSc. theses, and PhD positions.

Genius is actively used in academic research. If you want to refer to Genius in your publications, please use the following paper:

Genius: An Integrated Environment for Supporting the Design of Generic Automated Negotiators (BibTeX) (link).

For other examples of uses of Genius in research, see:

• The First Automated Negotiating Agents Competition (ANAC 2010) (link) (BibTeX) (ext. link)

• The Second Automated Negotiating Agents Competition (ANAC2011) (link) (BibTeX) (ext. link)

• Evaluating Practical Negotiating Agents: Results and Analysis of the 2011 International Competition (link) (BibTeX) (ext. link)

• A Framework for Building Intelligent SLA Negotiation Strategies under Time Constraints (link)

• Genius: An Integrated Environment for Supporting the Design of Generic Automated Negotiators (link) (BibTeX) (ext. link).

• Supporting the Design of General Automated Negotiators (link)

• Towards an Open Negotiation Architecture for Heterogeneous Agents (link)

• Analysis of Intra-Team Strategies for Teams Negotiating Against Competitor, Matchers, and Conceders (link)

• From Problems to Protocols: Towards a Negotiation Handbook (link)

• Negotiating Concurrently with Unknown Opponents in Complex, Real-Time Domains (link)

• A Novel Strategy for Efficient Negotiation in Complex Environments (link)

• ABiNeS: An Adaptive Bilateral Negotiating Strategy over Multiple Items (link)

• Training with Automated Agents Improves People’s Behavior in Negotiation and Coordination Tasks

• Rubinstein's Alternating Offers Protocol for Automated Cloud Computing Negotiation

• An efficient automated negotiation strategy for complex environments (link)

• Conditional Restricted Boltzmann Machines for Negotiations in Highly Competitive and Complex Domains (link)

• Towards Automated Negotiation Agents that use Chat Interface
• Automatic Knowledge Transfer for Agent-based Bilateral Negotiation Tasks
• Efficient Strategy Adaptation for Complex Multi-times Bilateral Negotiations
• TKI Adaptation Strategy for Complex Multi-times Bilateral Negotiations
• POPPONENT: Highly accurate, individually and socially efficient opponent preference model in bilateral multi issue negotiations
• Individual Rationality in Competitive Multiagent Systems
• Hybrid Approach for Concurrent Automated Negotiation Based on Evolutionary Learning Agent