To be successful in open, multi-agent environments, autonomous agents must be capable of adapting their negotiation strategies and tactics to their prevailing circumstances. To this end, we present an empirical study showing the relative success of different strategies against different types of opponent in different environments. In particular we adopt an evolutionary approach in which strategies and tactics correspond to the genetic material in a genetic algorithm. We conduct a series of experiments to determine the most successful strategies and to see how and when these strategies evolve depending on the context and negotiation stance of the agents opponent
Developing effective and efficient negotiation mechanisms for real-world applications such as e-Busi...
Evolutionary game theory is a successful mathematical framework geared towards understanding the sel...
Abstract. Automated negotiation techniques play an important role in facilitating human in reaching ...
To be successful in open, multi-agent environments, au-tonomous agents must be capable of adapting t...
To be successful in open, multi-agent environments, autonomous agents must be capable of adapting th...
The literature on automated techniques suggests that such techniques might be useful for complex dec...
Abstract. Automated negotiation has been of particular interest due to the relevant role that negoti...
This paper explores the possibility of using evolutionary algorithms (EAs) to automatically generate...
We use genetic algorithms to evolve trading strategies for it-erative bilateral negotiations between...
The efficiency of automated multi-issue negotiation depends on the available information about the o...
Artificial agents, coevolving under a machine learning regime, offer a promising basis for modeling ...
Real-world negotiations are characterised by combinatorially complex negotiation spaces, tough deadl...
Bidding and acceptance strategies have a substantial impact on the outcome of negotiations in scenar...
Adaptive behavior depends less on the details of the negotiation process and makes more robust predi...
Due to the rapid growth of electronic environments (such as the Internet) much research is currently...
Developing effective and efficient negotiation mechanisms for real-world applications such as e-Busi...
Evolutionary game theory is a successful mathematical framework geared towards understanding the sel...
Abstract. Automated negotiation techniques play an important role in facilitating human in reaching ...
To be successful in open, multi-agent environments, au-tonomous agents must be capable of adapting t...
To be successful in open, multi-agent environments, autonomous agents must be capable of adapting th...
The literature on automated techniques suggests that such techniques might be useful for complex dec...
Abstract. Automated negotiation has been of particular interest due to the relevant role that negoti...
This paper explores the possibility of using evolutionary algorithms (EAs) to automatically generate...
We use genetic algorithms to evolve trading strategies for it-erative bilateral negotiations between...
The efficiency of automated multi-issue negotiation depends on the available information about the o...
Artificial agents, coevolving under a machine learning regime, offer a promising basis for modeling ...
Real-world negotiations are characterised by combinatorially complex negotiation spaces, tough deadl...
Bidding and acceptance strategies have a substantial impact on the outcome of negotiations in scenar...
Adaptive behavior depends less on the details of the negotiation process and makes more robust predi...
Due to the rapid growth of electronic environments (such as the Internet) much research is currently...
Developing effective and efficient negotiation mechanisms for real-world applications such as e-Busi...
Evolutionary game theory is a successful mathematical framework geared towards understanding the sel...
Abstract. Automated negotiation techniques play an important role in facilitating human in reaching ...