Our test vehicle with the six-speed manual checked in at $27,370, putting it in the same price range as the Civic hatchback, Jetta GLI, and Mazda3 , but from the 2017 Nissan Sentra NISMO’s stiff ride and suspension to its lackluster handling and laggy powertrain, it feels incomplete. Additionally, the interior’s age is amplified by an infotainment system that’s well behind the units found in competitors such as the Civic and in more mainstream compacts such as the Chevrolet Cruze . The 2017 Sentra NISMO could use more power and should handle better, but as it stands, we’re not sure the car is worthy of a NISMO badge considering its performance didn’t improve much over its predecessors from 10 years ago. However, because the current generation Sentra has been around since 2013, the NISMO might be its final hurrah before a new generation arrives in the coming years. Hopefully by then, a hot Sentra returns as better-rounded and more capable package.
Michael Mauboussin describes the first of the three elements of “complexity” in this way: “the system consists of a number of heterogeneous agents, and each of those agents makes decisions about how to behave. The most important dimension here is that those decisions will evolve over time.” These heterogeneous agents might be ants, investors, businesses, genes or neurons. Mauboussin makes a key point here for investors and business people about the significance of this element: “markets tend to be efficient when the agents operate in a truly heterogeneous fashion and the aggregation mechanism is working smoothly. Diversity is essential, both in nature and in markets, and the system has to be able to take advantage of that diversity.” When diversity breaks down, as was the case during the internet bubble or the lead up to the 2007 financial crisis, markets can get very inefficient. Collections of intelligent and diverse heterogeneous agents are capable of forming self-organizing, learning, adaptive collectives that can exhibit the “wisdom of crowds.” The method that some people have pursued to study the interaction of heterogeneous agents is known as agent-based modeling.