This is the first book on current research on artificial general intelligence (AGI), work explicitly focused on engineering general intelligence ? autonomous, self-reflective, self-improving, commonsensical intelligence.Each author explains a specific aspect of AGI in detail in each chapter, while also investigating the common themes in the work of diverse groups, and posing the big, open questions in this vital area.This book will be of interest to researchers and students who require a coherent treatment of AGI and the relationships between AI and related fields such as physics, philosophy, neuroscience, linguistics, psychology, biology, sociology, anthropology and engineering.
Is artificial general intelligence possible? Can we defeat the dreaded combinatorial explosion?? Tune in next week to find out!
When I checked out this book from Hale Library a year ago, I was about as convinced as a person could be that AGI is possible. Now it's a year later and the book is due and I can't renew it any more and I'm not so sure. I read disappointingly little of the contents, but "combinatorial explosion" and "Lighthill" don't appear in the index, which seems like a couple of glaring omissions, since the whole challenge of AGI is basically debunking the Lighthill report, and no one has convincingly done that, as far as I know, but maybe there's some research out there of which I'm unaware.
Long, deep read on AGI, somewhat focused on the author and his journey, but well worth the time for the depth and background, and motivations for AGI vs narrow AI. Deeper on AI, and extensive AI system requirements than neuroscience. AGI is still a work in progress, and its social comprehension has a long way to go.