We examine how insights made in socio-anthropological and evolutionary schools of thought necessitate us to reevaluate the classic philosophical distinction between epistemology and ontology. We adopt an applied evolutionary epistemological stance and demonstrate that both epistemology and ontology evolve. Epistemology is broadened to include all knowledge and information that all life forms evolve, and ontology encompasses all biologically informed realities that life builds. Through processes such as symbiosis and niche construction, organisms acquire and extend information and knowledge into their offspring, (...) onto unrelated organisms, and onto their niches. Life builds biorealities that change over time. Consequently, knowledge and reality are mutable and truth is spatiotemporally bounded. We conclude that the classic distinction between epistemology and ontology has become superfluous and instead, we argue that the evolving knowledge that comes in the form of organisms and their extended niches equals ontological realities. (shrink)

The question of whether biologists should continue to use the Linnaean hierarchy has been a hotly debated issue. Invented before the introduction of evolutionary theory, Linnaeus's system of classifying organisms is based on outdated theoretical assumptions, and is thought to be unable to provide accurate biological classifications. Marc Ereshefsky argues that biologists should abandon the Linnaean system and adopt an alternative that is more in line with evolutionary theory. He traces the evolution of the Linnaean hierarchy from its introduction to (...) the present. He illustrates how the continued use of this system hampers our ability to classify the organic world, and then goes on to make specific recommendations for a post-Linnaean method of classification. Accessible to a wide range of readers by providing introductory chapters to the philosophy of classification and the taxonomy of biology, the book will interest both scholars and students of biology and the philosophy of science. (shrink)