In this paper we discuss virtual agent perception in large scale open environment based MABS.

An agent is often required to act based on the information its environment or of other agents. It is possible that such information is not available to the agent even though another agent might have such information. Hence, a difficulty is knowing which of the other agents to contact for a piece of information that is required. We present a solution to this problem by using agent models that es...

The multiagent approach allows to effectively address and manage the complex regulation of physiological processes. In this paper we argue why multiagent regulating systems need to be simulated in order to assess the properties of interest. In particular, we consider a multiagent regulator of the glucose-insulin metabolism and we show how the effectiveness of its control activity and other sali...

A multiagent universe is characterized by many agents who cooperate (i.e. share a common goal) or compete (i.e. have conflictual goals). With cooperation, an agent may take advantage of other agent's abilities and increase her chance to reach her goals. But competition between agents decreases the opportunities to reach her own goals, because one agent's action might interfere with the ones of ...

To investigate whether the theory of evolutionary ethics is a valid explanation for the existence of ethical behaviour, we approach the ethical issues of morality from a computational point-of-view. We define a model of multi-agent societies, in which agents are able to evolve a moral sense. In the model, moral sense is defined by every agent’s personal set of rules, which determines its intera...

We present an investigation into the effects that player personality can have on team performance in games that have been designed to have a social purpose (‘‘serious games’’), such as games intended to enhance more consideration for the environment and for sustainable energy usage. The work involves multi-agent-based model of team play, where individual player personalities are characterized b...

In this paper we present an agent-based approach to facilitate context-based adaptations using context information of a group of users. To minimize the effort to collect all relevant information of the current collaboration situation, and the amount of data to be kept, we propose a decentralized, agent-based approach that keeps track of the contextualized state.