Abstract. In dynamic applications characterised by a variety of alternative services with the same functionality but heterogeneous results, agents requesting services must find an ...
We present a hybrid algorithm for distributed task allocation problem in a cooperative logistics domain. Our approach aims to achieve superior computational performance by combinin...
Abstract. We adopt the Markov chain framework to model bilateral negotiations among agents in dynamic environments and use Bayesian learning to enable them to learn an optimal stra...
The theoretical guarantees provided by voting have distinguished it as a prominent method of preference aggregation among autonomous agents. However, unlike humans, agents usually ...
Abstract. Agents may choose to ignore contract violations if the costs of enforcing the contract exceed the compensation they would receive. In this paper we provide an argumentati...
We present a mechanism for collaboration and coordination amongst agents in multi-agent societies seeking social equity. This mechanism allows to compute egalitarian allocations of...
This paper presents an agent-based approach for error detection in incident management organizations. The approach consists of several parts. First, a formal approach for the speci...
Mark Hoogendoorn, Catholijn M. Jonker, Jan Treur, ...
The paper describes a decentralized peer-to-peer multi-agent learning method based on inductive logic programming and knowledge trading. The method uses first-order logic for model...
Imagine a future environment where networks of agents - people, robots and software agents - interact with sophisticated sensor grids and environmental actuators to provide advice,...