Many systems of self-interested agents have an associated performance criterion that rates the dynamic behavior of the overall system. This paper presents an introduction to the science of such systems. Formally, this paper concerns collectives, which are defined as any system having the following two characteristics: First, the system must contain one or more agents each of which we view as tr...

The vision of artificial intelligence (AI) is often manifested through an autonomous software module (agent) in a complex and uncertain environment. The agent is capable of thinking ahead and acting for long periods of time in accordance with its goals/objectives. It is also capable of learning and refining its understanding of the world. The agent may accomplish this based on its own experienc...

Artificial intelligence is an emerging topic and will soon be able to perform decisions better than humans. In more complex and creative contexts such as innovation, however, the question remains whether machines are superior to humans. Machines fail in two kinds of situations: processing and interpreting “soft” information (information that cannot be quantified) and making predictions in “unkn...

In studies of genetic algorithms, evolutionary computing, and ant colony mechanisms, it is recognized that the higher-order forms of collective intelligence play an important role in metaheuristic computing and computational intelligence. Collective intelligence is an integration of collective behaviors of individuals in social groups or collective functions of components in computational intel...

This paper essays an approach to the emergence of new business models based in collective intelligence through the inclusion of crowdsourcing in business processes. To contextualize this phenomenon, we present a brief sate of art, highlighting some key terms fundamental to understand collective intelligence and its impact in the business environment and on how organizations are changing the way...

We study the construction of the collective-coordinate manifold in the baryon number two sector of the Skyrme model. To that end we use techniques of adiabatic large amplitude collective motion, which treat potential and kinetic energy on an equal footing. In this paper the starting point is the Ansatz proposed by Atiyah and Manton (Phys. Lett. 438B, 222 (1989)), which allows a study of the dyn...

A group’s collective action is an outcome of the group’s decision-making process, which may be reached by either averaging of the individual preferences or following the choices of certain members in the group. Our problem here is to decide which decision process the group has adopted given the data of the collective actions. We propose a generic statistical framework to infer the group’s decis...