MIT Computational Cognitive Science Group Publications
MIT Research Group in the Department of Brain and Cognitive Sciences
Uses math, computers, logic, and behavior experiments
Collection of free to read papers
Showing posts with label cognitive skills. Show all posts
Showing posts with label cognitive skills. Show all posts
Thursday, April 13, 2017
MIT Computational Cognitive Science Group Publications
Labels:
brain,
cognitive science,
cognitive skills,
computational sciences,
free papers,
logic,
MIT
Thursday, February 23, 2017
DeepMind (Google's AI)
DeepMind
Excerpted from DeepMind website:
DeepMind's scientific mission is to push the boundaries of AI, developing systems that can learn to solve any complex problem without needing to be taught how. To achieve this, we work from the premise that AI needs to be general. Agents should operate across a wide range of tasks and be able to automatically adapt to changing circumstances. That is, they should not be pre-programmed, but rather, able to learn automatically from their raw inputs and reward signals from the environment. There are two parts to this research program: (1) designing ever-more intelligent agents capable of more-and-more sophisticated cognitive skills, and (2) building increasingly complex environments where agents can be trained and evaluated.
Train AI agents through gamelogic
Open source, GNU GPL v.2 licensing (free for private / commercial use, with GNU GPL rights clause)
Available on GitHub
Excerpted from DeepMind website:
DeepMind's scientific mission is to push the boundaries of AI, developing systems that can learn to solve any complex problem without needing to be taught how. To achieve this, we work from the premise that AI needs to be general. Agents should operate across a wide range of tasks and be able to automatically adapt to changing circumstances. That is, they should not be pre-programmed, but rather, able to learn automatically from their raw inputs and reward signals from the environment. There are two parts to this research program: (1) designing ever-more intelligent agents capable of more-and-more sophisticated cognitive skills, and (2) building increasingly complex environments where agents can be trained and evaluated.
Train AI agents through gamelogic
Open source, GNU GPL v.2 licensing (free for private / commercial use, with GNU GPL rights clause)
Available on GitHub
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