β Scribed by Brian Cantwell Smith (auth.), James H. Fetzer (eds.)
No coin nor oath required. For personal study only.
This series will include monographs and collections of studies devoted to the investigation and exploration of knowledge, information and data-processing systems of all kinds, no matter whether human, (other) animal or machine. Its scope is intended to span the full range of interests from classical problems in the philosophy of mind and philosophical psychology through issues in cognitive psychology and sociobiology (concerning the mental capabilities of other species) to ideas related to artificial intelligence and to computer science. While primary emphasis will be placed upon theoretical, conceptual and epistemological aspects of these problems and domains, empirical, experimental and methodological studies will also appear from time to time. The present volume illustrates the approach represented by this series. It addresses fundamental questions lying at the heart of artificial intelligence, including those of the relative virtues of computational and of non-computational conceptions of language and of mind, whether AI should be envisioned as a philosophical or as a scientific discipline, the theoretical character of patterns of inference and modes of argumentaΒ tion (especially, defeasible and inductive reasoning), and the relations that may obtain between AI and epistemology. Alternative positions are developed in detail and subjected to vigorous debate in the justifiable expectation that - here as elsewhere - critical inquiry provides the most promising path to discovering the truth about ourselves and the world around us. lH.F.
Front Matter....Pages i-xiii
Front Matter....Pages 1-1
The Semantics of Clocks....Pages 3-31
Front Matter....Pages 33-33
The Pseudorealization Fallacy and the Chinese Room Argument....Pages 35-53
In Praise of Narrow Minds: The Frame Problem....Pages 55-80
Syntactic Semantics: Foundations of Computational Natural-Language Understanding....Pages 81-131
Signs and Minds: An Introduction to the Theory of Semiotic Systems....Pages 133-161
Logic for the New AI....Pages 163-192
Front Matter....Pages 193-193
Artificial Intelligence is Philosophy....Pages 195-207
Artificial Intelligence as an Experimental Science....Pages 209-250
Defeasible Reasoning: A Philosophical Analysis in Prolog....Pages 251-288
When is Reasoning Nonmonotonic?....Pages 289-308
Artificial Intelligence and Effective Epistemology....Pages 309-322
Maintaining an Inductive Database....Pages 323-335
Front Matter....Pages 337-337
Automating Creativity....Pages 339-365
Back Matter....Pages 367-385
Philosophy of Science
π SIMILAR VOLUMES
In 1950, Alan Turing, the British mathematician, cryptographer, and computer pioneer, looked to the future: now that the conceptual and technical parameters for electronic brains had been established, what kind of intelligence could be built? Should machine intelligence mimic the abstract thinking o
In 1950, Alan Turing, the British mathematician, cryptographer, and computer pioneer, looked to the future: now that the conceptual and technical parameters for electronic brains had been established, what kind of intelligence could be built? Should machine intelligence mimic the abstract thinking o
In 1950, Alan Turing, the British mathematician, cryptographer, and computer pioneer, looked to the future: now that the conceptual and technical parameters for electronic brains had been established, what kind of intelligence could be built? Should machine intelligence mimic the abstract thinking o
<span>"This book provides relevant legal and security frameworks and the latest empirical research findings in the area of blockchain and AI striving to identify and overcome the legal consequences of the application of Artificial Intelligence into the blockchain system"--</span>