Recent years have seen a series of intense, increasingly acrimonious debates over the status and legitimacy of the natural sciences. These "science wars" take place in the public arena—with current battles over evolution and global warming—and in academia, where assumptions about scientific objectivity have been called into question. Given these hostilities, what makes a scientific claim merit our consideration?
How do novel scientific concepts arise? In Creating Scientific Concepts, Nancy Nersessian seeks to answer this central but virtually unasked question in the problem of conceptual change. She argues that the popular image of novel concepts and profound insight bursting forth in a blinding flash of inspiration is mistaken.
Building a person has been an elusive goal in artificial intelligence. This failure, John Pollock argues, is because the problems involved are essentially philosophical; what is needed for the construction of a person is a physical system that mimics human rationality. Pollock describes an exciting theory of rationality and its partial implementation in OSCAR, a computer system whose descendants will literally be persons.
Emergence, largely ignored just thirty years ago, has become one of the liveliest areas of research in both philosophy and science. Fueled by advances in complexity theory, artificial life, physics, psychology, sociology, and biology and by the parallel development of new conceptual tools in philosophy, the idea of emergence offers a way to understand a wide variety of complex phenomena in ways that are intriguingly different from more traditional approaches.
Genetically modified food, art in the form of a phosphorescent rabbit implanted with jellyfish DNA, and robots that simulate human emotion would seem to be evidence for the blurring boundary between the natural and the artificial. Yet because the deeply rooted concept of nature functions as a cultural value, a social norm, and a moral authority, we cannot simply dismiss the distinction between art and nature as a nostalgic relic.
The twentieth century's conceptual separation of the process of evolution (changes in a population as its members reproduce and die) from the process of development (changes in an organism over the course of its life) allowed scientists to study evolution without bogging down in the "messy details" of development. Advances in genetics produced the modern synthesis, which cast the gene as the unit of natural selection.
Abstract and conceptual models have become an indispensable tool for analyzing the flood of highly detailed empirical data generated in recent years by advanced techniques in the biosciences. Scientists are developing new modeling strategies for analyzing data, integrating results into the conceptual framework of theoretical biology, and formulating new hypotheses. In Modeling Biology, leading scholars investigate new modeling strategies in the domains of morphology, development, behavior, and evolution.
This book by distinguished philosopher Nicholas Rescher seeks to clarify the idea of what a conditional says by elucidating the information that is normally transmitted by its utterance. The result is a unified treatment of conditionals based on epistemological principles rather than the semantical principles in vogue over recent decades. This approach, argues Rescher, makes it easier to understand how conditionals actually function in our thought and discourse.
In this study, Don Ross explores the relationship of economics to other branches of behavioral science, asking, in the course of his analysis, under what interpretation economics is a sound empirical science. The book explores the relationships between economic theory and the theoretical foundations of related disciplines that are relevant to the day-to-day work of economics—the cognitive and behavioral sciences.
In Reconstructing the Cognitive World, Michael Wheeler argues that we should turn away from the generically Cartesian philosophical foundations of much contemporary cognitive science research and proposes instead a Heideggerian approach. Wheeler begins with an interpretation of Descartes. He defines Cartesian psychology as a conceptual framework of explanatory principles and shows how each of these principles is part of the deep assumptions of orthodox cognitive science (both classical and connectionist).