A poetic meditation on the challenges and pleasures of contemporary speculative fiction

Winner of the Elizabeth Agree Prize in American Literary Studies

Dear Incomprehension: On American Speculative Fiction is a thought-provoking exploration of the fascinating field of contemporary speculative fiction, a genre that transcends boundaries and encompasses science fiction, fabulist tales, modern fairy tales, and experimental narratives that challenge the very essence of storytelling and reading.

Written as a philosophical essay that mirrors the unorthodox nature of the texts it analyzes, Dear Incomprehension examines American works that defy traditional narrative devices such as plot, character, logic, and even legibility. Drawing on a number of philosophical theories, among them object-oriented ontology and speculative realism, Vanderhaeghe argues that these unconventional works resist the standard tools of criticism, demanding instead a novel perspective and approach.

An in-depth resource for scholars and students of contemporary literature, philosophy, and digital literary studies, Dear Incomprehension offers a fresh framework for analyzing experimental fiction and alternative modes of meaning-making. It is a must-read for those seeking to grasp the complexities and nuances of American experimental and speculative fiction.

 

 

Computation has now been reconfigured by machine learning: those technical processes and operations that yoke together statistics and computer science to create artificial intelligence (AI) by furnishing vast datasets to learn tasks and predict outcomes. In DeepAesthetics, Anna Munster examines the range of more-than-human experiences this transformation has engendered and considers how those experiences can be qualitative as well as quantitative. Drawing on process philosophy, Munster approaches computational experience through its relations and operations. She combines deep learning—the subfield of machine learning that uses neural network architectures—and aesthetics to offer a way to understand the insensible and frequently imperceptible forms of nonlinear and continuously modulating statistical function. Attending to the domains and operations of image production, statistical racialization, AI conversational agents, and critical AI art, Munster analyzes how machine learning is operationally entangled with racialized, neurotypical, and cognitivist modes of producing knowledge and experience. She approaches machine learning as events through which a different sensibility registers, one in which AI is populated by oddness, disjunctions, and surprises, and where artful engagement with machine learning fosters indeterminate futures.

Hegel’s philosophy of history—which most critics view as a theory of inevitable progress toward modern European civilization—is widely regarded as a failure today. In Does History Make Sense? Terry Pinkard argues that Hegel’s understanding of historical progress is not the kind of teleological or progressivist account that its detractors claim, but is based on a subtle understanding of human subjectivity.

Pinkard shows that for Hegel a break occurred between modernity and all that came before, when human beings found a new way to make sense of themselves as rational, self-aware creatures. In Hegel’s view of history, different types of sense-making become viable as social conditions change and new forms of subjectivity emerge. At the core of these changes are evolving conceptions of justice—of who has authority to rule over others. In modern Europe, Hegel believes, an unprecedented understanding of justice as freedom arose, based on the notion that every man should rule himself. Freedom is a more robust form of justice than previous conceptions, so progress has indeed been made. But justice, like health, requires constant effort to sustain and cannot ever be fully achieved.

For Hegel, philosophy and history are inseparable. Pinkard’s spirited defense of the Hegelian view of history will play a central role in contemporary reevaluations of the philosopher’s work.