» » Toward Human-Level Artificial Intelligence: Representation and Computation of Meaning in Natural Language

 

Toward Human-Level Artificial Intelligence: Representation and Computation of Meaning in Natural Language

Author: rukensai on 18-11-2020, 20:45, views: 211

0
Toward Human-Level Artificial Intelligence: Representation and Computation of Meaning in Natural Language

English | 2020 | ISBN-13 : 978-0486833002 | 386 Pages | PDF, EPUB | 20.16 MB

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.

Download link:




Links are Interchangeable - Single Extraction - Premium is support resumable

Category: Ebooks

Dear visitor, you are browsing our website as Guest.
We strongly recommend you to register and login to view hidden contents.

Add comments

Your Name:*
E-Mail:
Comment:
Security Code: *
Click on the image to refresh the code if it cannot be viewed
 
Themes: