I will describe two ways in which to apply this model, one mathematical, the working out of which is beyond my scope here, and the other metaphorical, using several features of deterministic chaos to generate new observations about Melville's problem sentences.
I propose to study Melville's sentences through the theory of deterministic chaos by combining the concepts of "generative metaphor" (drawn from Donald A.
My generative model takes deterministic chaos as the primary domain and the intransigent sections of Melville's prose as the problematic domain; hence my title, "Melville's Chaotic Style.
In fact, the sorts of feedback systems that give rise to nonlinearity and deterministic chaos are extremely common among living systems, including human social systems.
These theorists argued that extremely ordered systems will not give birth to anything new, whereas systems that are actually stuck within deterministic chaos are themselves too disordered to give rise to the sorts of complex systems that we see around us in the biological and social worlds.
The sciences of deterministic chaos and complex systems theory are beginning to have an impact on social and psychological theory (Abraham, Abraham, & Shaw, 1990; Barton, 1994; Chubb, 1990; Dell, 1985; Gregerson & Sailer, 1993; Harvey & Reed, 1994; Haynes, 1995; Itzkowitz, 1996; Mahoney, 1991, 1995; Young, 1991).
The test of low deterministic chaos employed in this article is one type of nonparametric regression known as the LWR (Diebold and Nason, 1990; LeBaron, 1988).
Our finding of nonlinearities in the insurance data could be due to the presence of heteroskedasticity or low deterministic chaos.
However, the evidence supporting the existence of low-level deterministic chaos in equity returns is generally weak.
We also test for heteroskedasticity and low deterministic chaos in the insurance data.
Tests of nonlinearity and deterministic chaos usually require some transformations of the time series of stock returns to eliminate any linear structure and nonstationarity that may be present in the raw data.
after removing nonstationarity in the time series, the presence of a stochastic process or deterministic chaos is indicated.