An account that analyzes the dynamic reasoning processes implicated in a fundamental problem of creativity in science: how does genuine novelty emerge from existing representations?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 i…
"A Bradford book.""In Human Reasoning and Cognitive Science, Keith Stenning and Michiel van Lambalgen - a cognitive scientist and a logician - argue for the indispensability of modern mathematical logic to the study of human reasoning. Logic and cognition were once closely connected, they write, but were "divorced" in the past century; the psychology of deduction went from being central to the …
The authors argue that a new theoretical foundation for artificial intelligence can be constructed in which rationality is a property of "programs" within a finite architecture, and their behavior over time in the task environment, rather than a property of individual decisions.Like Mooki, the hero of Spike Lee's film "Do the Right Thing," artificially intelligent systems have a hard time knowi…
A Bradford book."In Theory and Evidence Barbara Koslowski, long acknowledged for her empirical work in the field of cognitive-developmental research, brings into sharp focus the ways in which the standard literature both distorts and under-estimates the reasoning abilities of ordinary people. She provides the basis of a new research program for a more complete characterization of scientific rea…
A sequel to Pollock's How to Build a Person, this volume builds upon that theoretical groundwork for the implementation of rationality through artificial intelligence. Pollock argues that progress in AI has stalled because of its creators' reliance upon unformulated intuitions about rationality. Instead, he bases the OSCAR architecture upon an explicit philosophical theory of rationality, encom…
Nonmonotonic reasoning provides formal methods that enable intelligent systems to operate adequately when faced with incomplete or changing information. In particular, it provides rigorous mechanisms for taking back conclusions that, in the presence of new information, turn out to be wrong and for deriving new, alternative conclusions instead. Nonmonotonic reasoning methods provide rigor simila…
Here the authors introduce techniques for formalizing deductive argumentation in artificial intelligence, emphasising emerging formalizations for practical argumentation. They discuss how arguments can be constructed, how key intrinsic and extrinsic factors can be identified, and how these analyses can be harnessed in the real world.OCLC-licensed vendor bibliographic record.
"A Bradford book."Reprinted from Artificial intelligence, volume 58, numbers 1-3, 1992.Constraint-based reasoning is an important area of automated reasoning in artificial intelligence, with many applications. These include configuration and design problems, planning and scheduling, temporal and spatial reasoning, defeasible and causal reasoning, machine vision and language understanding, quali…
How developing a more expansive, non-formal conception of reason produces richer ethical understandings of human situations, explored and illustrated with many real examples.OCLC-licensed vendor bibliographic record.
"A Bradford book."OCLC-licensed vendor bibliographic record.