This paper presents the MIC* model of autonomous agents deployment environment. A practical social software engineering framework based on AGR is also presented to show how MIC* is used to develop MAS applications.

and validate the foundations of agent based computing. In this paper, we have abstracted a composable multi-agent system environment in an algebraic structure where mobile, interacting and autonomous entities evolve. We present also, a simple ubiquitous application developed according to the abstract model

The survey has been conducted as part of the third round of MICS surveys (MICS3), carried out around the world in more than 50 countries, in 2005-2007, following the first two rounds of MICS surveys that were conducted in 1995 and the year 2000. Survey tools are based on the models and standards

and validate the foundations of agent based computing. In this paper, we have abstracted a composable multi-agent system environment in an algebraic structure where mobile, interacting and autonomous entities evolve. We present also, a simple ubiquitous application developed according to the abstract model

tools often new software is designed and implemented for specific applications. In this paper we describe how a modeling and simulation framework, JAMES II, was used to create a specialized tool for population projections, the MIC-CORE. Reusing validated and well-tested modeling and simulation

We describe the microsimulation tool MicCore that was developed in the project MicMac bridging the micro-macro gap in population forecasting. Based on a generic continuous-time multistate model with age- and calendar time-specic tran-sition rates the MicCore was implemented as a plug-in to JAMES

From the systems point of view, the objectives of higher education cannot be defined apart from the economic and social context in which the university operates. The report presents the results of a 4-year research project during which a mathematical model was developed to describe the way in which

Abstract: [This contribution describes a simple statistical model representing the path loss for communication to/from an implant or between two implant inside a human body. It consists of detailed characterization of path loss model parameters with the center frequency of 403.5 MHz i.e. MICS band

of effort, rework due to lack of proper guidelines and other issues that all lead to increased capital and operational expenditure. This paper defines a user centric, holistic micE model for defining enterprise mobile strategy and a staged process in leveraging the model in enterprise context.

We present in this position paper the foundations of the MIC * model and deployment environment as they have emerged in the last years, relate them to current evolutions on semantic GRID dynamic service generation, as reflected by OGSA/I and, more recently, by WSRF, and propose an integrated view