Designing models of complex phenomena is a difficult task in engineering that can be tackled by composing a number of partial models to produce a global model of the phenomena. We propose to embed the partial models in software agents and to implement their composition as a cooperative negotiation between the agents. The resulting multiagent system provides a global model of a phenomenon. We applied this approach in modelling two complex physiological processes: the heart rate regulation and the glucose-insulin metabolism. (...) Beyond the effectiveness demonstrated in these two applications, the idea of using models associated to software agents to give reason of complex phenomena is in accordance with current tendencies in epistemology, where it is evident an increasing use of computational models for scientific explanation and analysis. Therefore, our approach has not only a practical, but also a theoretical significance: agents embedding models are a technology suitable both to representing and to investigating reality. (shrink)

There are two classical and opposite positions about scientific discovery: the one that conceives scientific discovery activity as fully rational and the one that conceives scientific discovery activity as fully irrational. In the first case, machines are regarded as able to perform the scientific discovery process whereas, in the second case, machines are considered unable to perform any part of the scientific discovery process.We adopt a third intermediate approach that envisages a new role for machines, which are conceived as descriptions (...) of the results of scientific discovery activity. More precisely, the purpose of the paper is to illustrate the multilevel structure of a machine, called creative dynamic agency, that represents the articulated and incremental description of the product of scientific discovery process. The multilevel architecture reflects the composition relation that holds among phenomena described by creative agents that compose creative dynamic agency. (shrink)

In this paper we investigate the role of information machines in the scientific enterprise intended as a social activity. Our discussion is based on a powerful kind of information machines called scientific social agencies, which are multiagent systems of distributed artificial intelligence. Scientific social agency, on the one hand, can provide great benefits to the present common scientific practice but, on the other hand, its development represents a strong and still open technical challenge. This paper shows a coherent framework in (...) which scientific social agency is settled. Moreover, the double role of a scientific social agency in assisting scientists in their activity and in representing the products of their research is illustrated by means of some examples. (shrink)

The debate on the experimental method, its role, its limits, and its possible applications has recently gained attention in autonomous robotics. If, from the one hand, classical experimental principles, such as repeatability and reproducibility, play as an inspiration for the development of good experimental practices in this research area, from the other hand, some recent analyses have evidenced that rigorous experimental approaches are not yet full part of the research habits in this community. In this paper, in order to give (...) reason of a part of the current experimental practice in autonomous robotics that cannot be satisfactorily accommodated under the traditional concept of controlled experiment, we will advance the notion of explorative experiment. Explorative experiments in this context should be intended as a form of investigation carried out in the absence of a proper theory or theoretical background, where the control of the experimental factors cannot be fully managed from the beginning. We show that this notion arises from the analysis of the experimental activities reported in a significant sample of papers that have been given awards at two of the largest and most impacting robotics research conferences. (shrink)