Foundation, Architecture, and Prototyping of Humanized AI

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A01=Mark Chang
agent-based systems
AGI
Ai Agent
artificial general intelligence
Attention Pulse
Attention Set
Author_Mark Chang
Behviourist
Big Data Approach
Category=UBH
Category=UBJ
Category=UBL
Category=UYQ
Category=UYZ
cognitive modelling
Color Blind Person
Constructivist
constructivist artificial intelligence approach
CS
DBNs
DR
Driverless Cars
Elementary Tokens
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
HAI
High Level Tokens
Human Level AI
Humanize Ai
Humanized AI
Innate Concept
Knowledge Net
machine consciousness
NAI
Narrow Ai
PR
Prototyping
Recursive Patternization
Si
similarity principle
social robotics
Uploaded
Vice Versa
Virtual Embodiment

Product details

  • ISBN 9781032491653
  • Weight: 707g
  • Dimensions: 178 x 254mm
  • Publication Date: 30 Jan 2025
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Humanized AI (HAI), emerging as the next of the AI waves, refers to artificial social beings that are very close to humans in various aspects, beings who are machine-race humans, not digital slaves. Foundation, Architecture, and Prototyping of HAI deploy a novel smalldata approach to vertically explore the spectrum of HAI.

Different from the popular big-data philosophy that is based on the rigid notion that the connotation of each concept is fixed and the same to everyone, this book treats understanding as a process from simple to complex, and uses the similarity principle to effectively deal with novelties. Combining the efficiency of the Behaviorists’ goal-driven approach and the flexibility of a Constructivists’ approach, both the architecture of HAI and the philosophical discussions arising from it are elaborated upon.

Advancing a unique approach to the concept of HAI, this book appeals to professors and students of both AI and philosophy, as well as industry professionals looking to stay at the forefront of developments within the field.

Mark Chang, PhD, is the founder of AGInception and an adjunct professor of Biostatistics at Boston University. He is an elected fellow of the American Statistical Association, a co-founder of the International Society for Biopharmaceutical Statistics. He previously held various positions in pharmaceutical companies, including Scientific Fellow, executive Director, and Senior Vice President. He is an adaptive design expert and has extensive knowledge in AI for clinical trials. He has published 12 books on artificial intelligence & machine learning, adaptive clinical trial designs, biostatistics, and scientific principles.

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