Natural and Artificial Intelligence: Introduction to Computational Brain-Mind

The mind is what the brain does. This book tries to map a mind model to the corresponding brain so as to not only deepen our understanding of both the brain and the mind, but also unveil computational underpinnings. That is why the words Brain-Mind are hyphenated in the title.

This volume strives to unify natural intelligence with artificial intelligence. It approaches intelligence through not only what intelligence is but also how intelligence arises.

Examples of disciplinary questions related to the material in this book:

Biology: How does each autonomous cell interact with the environment to give rise to animal behaviors, and what cellular roles is the genome likely to play?

Neuroscience: From an overarching perspective, how does a brain self-wire, perform top-down attention, and develop its functions?

Psychology: How does an integrated brain architecture accomplish multiple psychological learning models and develop brain s external behaviors?

Computer Science: How does a brain-like network compute, adapt, reason, and generalize, and how is the automaton theory related to the brain-like network?

Electrical Engineering: How does a brain-like network perform general-purpose, nonlinear, feedback sensing-and-control, beyond traditional nonlinear control?

Mathematics: How does a brain-like network perform general-purpose, nonlinear optimization, and how does a brain realize emergent functionals?

Physics: How do meanings arise from physics, and how does a brain-like network treat space and time in a unified way, reminiscent of relativity?

Social sciences: How do computational principles of human brains provide insight into possible solutions to a variety of social and political problems?