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FFAI Research Agenda by Mind Map: FFAI Research Agenda
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FFAI Research Agenda

Turing Test

Natural language understanding, social computing and interaction as AI research topics.

Current AIs fail at "internal world model problems", metaphor.

Understanding metaphors and answering questions about mentally constructed physical models should be key problems in AI.


Self, consciousness are important aspects of intelligence.

Psychology, neurobiology, and philosophy give us some clues about what "self" is and isn't.

How can we translate this into AI architectures?


Dualism is a common (implicit) objection to AI; most AI researchers resolve it via functionalism.

The notion is analogous to classical (and erroneous) notions about organic matter and "life".

Dualism maps nicely onto the hardware/software distinction; many "properties of mind" are also properties of software.

Determinism and Free Will

Classical "free will" arguments are irrelevant to AI; the fact that computations are deterministic has no obvious consequences for the ability of computational systems to solve problems.

"Free will" probably represents a "theory of mind" and is important for multi-agent AI and social computing

Theory of mind and understanding of other agents' intentions and internal states is an important open question in AI.


Simulated realities and AI are closely related issues.

If strong AI is true, AIs will likely exist in simulated realities.

Simulation is important both in the creation of AI (testing, learning, artificial evolution), and for internal modeling of the world.

Approaches to AI Research

Engineering Approach

Neuromorphic Approach

Artificial Evolution Approach

Uploading Approach

upcoming topics

brain machine interfaces

decoding the nervous system and uploading

digital physics and hypercomputation

brain simulators


3D fabrication and futurism

next semesters

physical self replication, 3D printing

intelligent agent simulations