Toward Human-Level Artificial Intelligence: Representation and Computation of Meaning in Natural Language Contributor(s): Jackson, Philip C. (Author) |
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ISBN: 0486833003 ISBN-13: 9780486833002 Publisher: Dover Publications OUR PRICE: $17.96 Product Type: Paperback - Other Formats Published: November 2019 |
Additional Information |
BISAC Categories: - Mathematics - Computers | Intelligence (ai) & Semantics |
Series: Dover Books on Mathematics |
Physical Information: 0.8" H x 5.9" W x 8.9" (1.15 lbs) 384 pages |
Descriptions, Reviews, Etc. |
Publisher Description: How can human-level artificial intelligence be achieved? What are the potential consequences? This book describes a research approach toward achieving human-level AI, combining a doctoral thesis and research papers by the author. The research approach, called TalaMind, involves developing an AI system that uses a 'natural language of thought' based on the unconstrained syntax of a language such as English; designing the system as a collection of concepts that can create and modify concepts to behave intelligently in an environment; and using methods from cognitive linguistics for multiple levels of mental representation. Proposing a design-inspection alternative to the Turing Test, these pages discuss 'higher-level mentalities' of human intelligence, which include natural language understanding, higher-level forms of learning and reasoning, imagination, and consciousness. Dr. Jackson gives a comprehensive review of other research, addresses theoretical objections to the proposed approach and to achieving human-level AI in principle, and describes a prototype system that illustrates the potential of the approach. This book discusses economic risks and benefits of AI, considers how to ensure that human-level AI and superintelligence will be beneficial for humanity, and gives reasons why human-level AI may be necessary for humanity's survival and prosperity. |