Literature, Analytically Speaking: Explorations in the Theory of Interpretation, Analytic Aesthetics, and Evolution
Book information
Description
In a new approach to interdisciplinary literary theory, Literature, Analytically Speaking integrates literary studies with analytic aesthetics, girded by neo-Darwinian evolution. Scrutinizing narrative fiction through a lens provided by analytic philosophy, revered literary theorist Peter Swirski puts new life into literary theory while fashioning a set of practical guidelines for critics in the interpretive trenches. Dismissing critical inquirers who deny intention its key role in the study of literary reception, Swirski extends the defense of intentionality to art and to human behavior in general. In the process, Swirski takes stock of the recent work in evolutionary theory, arguing that the analysis of narrative truth may be grounded in the neo-Darwinian paradigm which forms the empirical backbone behind his analytic approach. Literature, Analytically Speaking provides a series of precepts designed to capture the ways in which we do interpret (and ought to interpret) works of literature. Reflecting a resounding shift from the poststructuralist paradigm, Swirski's lively and colorful presentation, backed up by a dazzling variety of examples and case studies, reconceptualizes the aesthetics of literature and literary studies.
Similar books
Between Literature and Science: Poe, Lem and Explorations in Aesthetics, Cognitive Science, and Literary Knowledge
2000 · PDF
From Literature to Biterature: Lem, Turing, Darwin, and Explorations in Computer Literature, Philosophy of Mind, and Cultural Evolution
2013 · PDF
The Art and Science of Stanislaw Lem
2006 · PDF
From Lowbrow to Nobrow
2005 · PDF
I Sing the Body Politic: History as Prophecy in Contemporary American Literature
2009 · PDF
I Sing the Body Politic : History As Prophecy in Contemporary American Literature
2009 · EPUB
From Lowbrow to Nobrow
2005 · PDF
American Utopia: Literature, Society, and the Human Use of Human Beings
2019 · PDF