 |
4 books on Artificial General Intelligence [PDF]
November 04, 2024 | 18 |
Books on Artificial General Intelligence provide an in-depth understanding of the fundamental theories, concepts, and challenges associated with AGI. They cover topics like neural networks, reinforcement learning and cognitive science, shedding light on the interdisciplinary nature of AGI research.
1. Artificial General Intelligence: Machines may eventually be as clever as humans, and possibly even smarter, but the game is still far from over
2022 by Fouad Sabry
From this book, I found out that the development of Symbolic AI plays a key role in understanding how machines can replicate human-like reasoning. For example, Hugo de Garis's "artificial brains" that have principally new cognitive architecture. Maybe his ideas will allow us to reach the singularity - the point when machine intelligence outpace human. But not so fast! The history of AI shows us that from time to time "AI winters" occur.
Download PDF
2. Artificial General Intelligence
2015 by Jordi Bieger, Ben Goertzel, Alexey Potapov
This is a list of selected papers from the conference that provide diverse perspectives on the future challenges and opportunities in AGI research. The conclusions are following. First of all, broad definition of intelligence is crucial for advancing AGI, as it moves beyond traditional narrow task-specific AI frameworks. In any case, AGI research needs interdisciplinary collaboration to achieve the goal. The proceedings from AGI 2015 highlight the importance of adaptability in artificial intelligence systems.
Download PDF
3. Theoretical Foundations of Artificial General Intelligence
2012 by Pei Wang, Ben Goertzel
We think that theoretical problems in AGI are in understanding cognitive processes and how they can be replicated in machines but practical AGI development requires bridging these theoretical concepts with real-world applications. In this book contributions from active AGI researchers provide insights into prcatical challenges and potential solutions in the field. Their simple presentation of complex AGI theories makes the content accessible to those who has no specialized knowledge.
Download PDF
4. Advances in Artificial General Intelligence: Concepts, Architectures and Algorithms
2007 by Ben Goertzel, Pei Wang
Developing software with human-like general intelligence requires a multi-discipline approach and this AGIRI workshop showcased collaborative work on the new scientific methodologies and specific algorithms that may play a critical role in enabling machines to perform tasks requiring general intelligence. The AGI research is continuously evolving, with new concepts emerging that challenge traditional AI paradigms.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
1. Artificial General Intelligence: Machines may eventually be as clever as humans, and possibly even smarter, but the game is still far from over
2022 by Fouad Sabry
From this book, I found out that the development of Symbolic AI plays a key role in understanding how machines can replicate human-like reasoning. For example, Hugo de Garis's "artificial brains" that have principally new cognitive architecture. Maybe his ideas will allow us to reach the singularity - the point when machine intelligence outpace human. But not so fast! The history of AI shows us that from time to time "AI winters" occur.
Download PDF
2. Artificial General Intelligence
2015 by Jordi Bieger, Ben Goertzel, Alexey Potapov
This is a list of selected papers from the conference that provide diverse perspectives on the future challenges and opportunities in AGI research. The conclusions are following. First of all, broad definition of intelligence is crucial for advancing AGI, as it moves beyond traditional narrow task-specific AI frameworks. In any case, AGI research needs interdisciplinary collaboration to achieve the goal. The proceedings from AGI 2015 highlight the importance of adaptability in artificial intelligence systems.
Download PDF
3. Theoretical Foundations of Artificial General Intelligence
2012 by Pei Wang, Ben Goertzel
We think that theoretical problems in AGI are in understanding cognitive processes and how they can be replicated in machines but practical AGI development requires bridging these theoretical concepts with real-world applications. In this book contributions from active AGI researchers provide insights into prcatical challenges and potential solutions in the field. Their simple presentation of complex AGI theories makes the content accessible to those who has no specialized knowledge.
Download PDF
4. Advances in Artificial General Intelligence: Concepts, Architectures and Algorithms
2007 by Ben Goertzel, Pei Wang
Developing software with human-like general intelligence requires a multi-discipline approach and this AGIRI workshop showcased collaborative work on the new scientific methodologies and specific algorithms that may play a critical role in enabling machines to perform tasks requiring general intelligence. The AGI research is continuously evolving, with new concepts emerging that challenge traditional AI paradigms.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
