Although agent based modelling has drawn significant attention in the recent years, with a significant number of simulation platforms proposed, the latter target usually relatively simple reactive agents. Thus, little has been done toward enhancing the modelling capabilities of platforms with richer agent oriented programming constructs that could potentially lead to the implementation of more ...

Cloud is a specialized computing technology accommodating several million users to provide seamless services via the internet. The extension of this reverenced growing abruptly with increase in number users. One major issues cloud that it receives huge volume workloads requesting resources complete their executions. While executing these workloads, suffers from issue service level agreement (SL...

What kind of economic activity is conducted through markets and what kind is conducted through firms? We approach this Coaseian question by way of an employment relation between players. Every players has an endowment of 100% of his time. He may choose to give away part of his time to other players. We will work the employment relation into characteristic functions (cooperative game theory). He...

In information security, ignorance is not bliss. It is always stated that hiding the protocols (let the other be ignorant about it) does not increase the security of organizations. However, there are cases that ignorance creates protocols. In this paper, we propose distributed contingency logic, a proper extension of contingency (ignorance) logic. Intuitively, a formula is distributed contingen...

There is currently great interest in the control of multi-agent networked systems. Applications include mobile sensor networks, teleoperation, synchronization of oscillators, UAV's and coordination of multiple robots. In this talk we consider the output synchronization of networked dynamic agents using passivity theory and considering the graph topology of the inter-agent communication. We prov...

In this paper we introduce an object-oriented coordination language for multi-agents systems. The beliefs and reasoning capabilities of an agent are specified in terms of a corresponding abstract data type. Agents interact via an extension of the usual object-oriented message passing mechanism. This extension provides the autonomy that is required of agents but which objects in most object-orie...

We present a trust model extension that attempts to relax the assumptions that are currently taken by the majority of existing trust models: (i) proven identity of agents, (ii) repetitive interactions and (iii) similar trusting situations. The proposed approach formalizes the situation (context) and/or trusted agent identity in a multi-dimensional Identity-Context feature space, and attaches th...

Norms have been proposed as a way to regulate multi-agent systems. In order to operationalize norms, several computational frameworks have been proposed for programming norm-governed agent organizations. It has been argued that in such systems it is essential that norms, in particular those giving rise to achievement obligations, have deadlines. In this paper we propose a novel semantic framewo...

Reinforcement Learning has been used for a number of years in single agent environments. This article reports on our investigation of Reinforcement Learning techniques in a multi-agent and adversarial environment with continuous observable state information. We introduce a new framework, two-player hexagonal grid soccer, in which to evaluate algorithms. We then compare the performance of severa...