Cognitive Machine Learning (2): Uncertain Thoughts 1

Cognitive Machine Learning (2): Uncertain Thoughts
· Read in · 1813 words · All posts in series  · She pined in thought,  And with a green and yellow melancholy She sat like Patience on a monument,  Smiling at grief. Was not this love indeed? [King Lear, Act 2, Scene 4, Line 117]  King Lear, Shakespeare stirs a sense of self-consciousness by invoking Patience, sitting up high; ...

Cognitive Machine Learning (1): Learning to Explain 1

Cognitive Machine Learning (1): Learning to Explain
· Read in · 1720 words · All posts in series  · is an image of the Zaamenkomst panel: one of the best remaining exemplars of rock art from the San people of Southern Africa. As soon as you see it, you are inevitably herded, like the eland in the scene, through a series of thoughts. Does it have a meaning?  Why ...

Learning in Brains and Machines (4): Episodic and Interactive Memory

Learning in Brains and Machines (4): Episodic and Interactive Memory
· Read in · 2080 words · All posts in series  · memory, like yours, exerts a powerful influence over my interaction with the world. It is reconstructive and evocative; I can easily form an image of hot December days in the South African summer, and remember my first time—it was morning on an Easter Sunday in April a few years ago—that I saw and felt snow. My ...

Learning in Brains and Machines (3): Synergistic and Modular Action 3

Learning in Brains and Machines (3): Synergistic and Modular Action
· Read in · 1796 words · All posts in series  ·  is a dance—precisely choreographed and executed—that we perform throughout our lives. This is the dance formed by our movements. Our movements are our actions and the final outcome of our decision making processes. Single actions are built into reusable sequences, sequences are composed into complex routines, routines are arranged into elegant choreographies, and so the complexity of ...

Learning in Brains and Machines (2): The Dogma of Sparsity 1

Learning in Brains and Machines (2): The Dogma of Sparsity
· Read in · 1700 words · collected posts · functioning of our brains, much like the intrigue of a political drama, is a neuronal house-of-cards. The halls of cognitive power are run by recurring alliances of neurons that deliberately conspire to control information processing and decision making. 'Suspicious coincidences' in neural activation—as the celebrated neuroscientist Horace Barlow observed—are abound; transparency in neural ...

Learning in Brains and Machines (1): Temporal Differences 9

Learning in Brains and Machines (1): Temporal Differences
· Read in · 1800 words · collected posts · We all make mistakes, and as is often said, only then can we learn. Our mistakes allow us to gain insight, and the ability to make better judgements and fewer mistakes in future. In their influential paper, the neuroscientists Robert Rescorla and Allan Wagner put this more succinctly, 'organisms only ...