Computational Modelling Group

Evolving Behaviour-Dependent Strategies in Agent Negotiations

Research Team
Darius Pepe Falahat
Enrico Gerding, Markus Brede

We use genetic algorithms to evolve trading strategies for iterative bilateral negotiations between buyers and sellers. In contrast to previous work we evolve purely reactive strategies that base decisions on memories of behaviour in previous negotiation rounds. A paper was written on this research and was published in the proceedings for the European Conference on Artificial Life 2013.


Algorithms and computational methods: Agent-Based Negotiation, Agents, Evolutionary Algorithms, Game Theory

Programming languages and libraries: Python

Transdisciplinary tags: Complex Systems