Abstract: Keynesian economists refer to capitalism as a monetary production economy, in which the theory of money and the theory of production are inseparable (Skidelsky, 1992). One important aspect of this, brought to light by Robertson following the publication of The General Theory, is that in a Keynesian economy, endogenous money creation is logically necessary if the economy is to expand. A Keynesian economy cannot operate with an exogenously given supply of money as in verticalism. One way to ensure that money is endogenous is to simply assume that the supply of money is infinitely elastic, known in the literature as horizontalism. In this view, prior savings cannot be a constraint on current investment and it follows that the level of economic activity is determined by effective demand. Using a multi-agent systems model, this paper shows that real economies, especially those subject to recurrent financial crises, can be neither horizontalist nor verticalist. Horizontalism overlooks microeconomic factors that might block flows from savers to investors, while verticalism ignores an irreducible ability of the system to generate endogenous money, even when the monetary authority does everything in its power to limit credit creation.
[edit database entry]
Bongard's work focuses on understanding the general nature of cognition, regardless of whether it is found in humans, animals or robots. This unique approach focuses on the role that morphology and evolution plays in cognition. Addressing these questions has taken him into the fields of biology, psychology, engineering and computer science.
Danforth is an applied mathematician interested in modeling a variety of physical, biological, and social phenomenon. He has applied principles of chaos theory to improve weather forecasts as a member of the Mathematics and Climate Research Network, and developed a real-time remote sensor of global happiness using messages from Twitter: the Hedonometer. Danforth co-runs the Computational Story Lab with Peter Dodds, and helps run UVM's reading group on complexity.
Laurent studies the interaction of structure and dynamics. His research involves network theory, statistical physics and nonlinear dynamics along with their applications in epidemiology, ecology, biology, and sociology. Recent projects include comparing complex networks of different nature, the coevolution of human behavior and infectious diseases, understanding the role of forest shape in determining stability of tropical forests, as well as the impact of echo chambers in political discussions.
Hines' work broadly focuses on finding ways to make electric energy more reliable, more affordable, with less environmental impact. Particular topics of interest include understanding the mechanisms by which small problems in the power grid become large blackouts, identifying and mitigating the stresses caused by large amounts of electric vehicle charging, and quantifying the impact of high penetrations of wind/solar on electricity systems.
Bagrow's interests include: Complex Networks (community detection, social modeling and human dynamics, statistical phenomena, graph similarity and isomorphism), Statistical Physics (non-equilibrium methods, phase transitions, percolation, interacting particle systems, spin glasses), and Optimization(glassy techniques such as simulated/quantum annealing, (non-gradient) minimization of noisy objective functions).