Reading Notes: Neuroscience-Inspired Artificial Intelligence

Neuroscience-Inspired Artificial Intelligence Better understanding biological brains could play a vital role in building intelligent machines More recently, the interaction has become much less common- place, as both subjects have grown enormously in complexity and disciplinary boundaries have solidified Premise: Building human-level general AI (or ‘‘Turing-powerful’’ intelligent systems; Turing, 1936) is a daunting task, because … More Reading Notes: Neuroscience-Inspired Artificial Intelligence

Reading Notes: The Master Algorithm – Evolutionaries (part 5)

Ronald Fisher’s classic treatise The Genetical Theory of natural Selection formulated the first mathematical theory of evolution. The key input to a genetic algorithm is a fitness function. Evolution as a whole has no known purpose. Genetic algorithms are a lot like selective breeding. They breed programs instead of living creatures, and a generation is … More Reading Notes: The Master Algorithm – Evolutionaries (part 5)

Reading Notes: The Master Algorithm – Connectionlists (part 4)

Hebb’s rule is the cornerstone of connectionism. It says knowledge is stored in the connections between neurons. Donald Hebb stated in his 1949 book The Organization of Behavior: “When an axon of cell A is near enough cell B and repeatedly or persistently takes part in firing it, some growth process or metabolic change takes … More Reading Notes: The Master Algorithm – Connectionlists (part 4)

Reading Notes: Computing machinery and intelligence by A.M. Turing

http://www.loebner.net/Prizef/TuringArticle.html Three questions: “Can machines think?” “Are there imaginable digital computers which would do well in the imitation game?” “Let us fix our attention on one particular digital computer C. Is it true that by modifying this computer to have an adequate storage, suitably increasing its speed of action, and providing it with an appropriate … More Reading Notes: Computing machinery and intelligence by A.M. Turing

Reading Notes: The Master Algorithm (Part 1)

“The Master Algorithm” by Dr. Pedro Domingos is a nice book. I enjoyed reading it. Learners program themselves. Learning algorithms are artifacts that design other artifacts. Hundreds of new learning algorithms are invented every year, but they are all based on the same few basic ideas. Some key questions: How do we learn? Is there … More Reading Notes: The Master Algorithm (Part 1)