Abstract: Neo-Ricardian and Fundamentalist theories of rent and landed property are compared within the analytical framework of the Sraffian model with respect to both the question of the static distribution of surplus value and the dynamics of capital accumulation. The general problem of nonproduced means of production is first posed in a way that admits a Fundamentalist as well as Neo- Ricardian solution. It is seen that Sraffians refer to land's scarcity in relation to the level of effective demand as the cornerstone of their theory of rent, while Fundamentalists rely on the political and economic power of the landlord class to close the system of price-and rent-determining equations. A key Fundamentalist proposition concerning the dynamics of the capitalist mode of production-that rent deters capitalist development in agriculture-is demonstrated in the context of the sylized Fundamentalist model. This result is contrasted with Okishio's theorem which holds that individually profitable technical change will cause the general rate of profit to rise.
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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).