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Transversal Skills & Current Methodologies Kristinn R. Thórisson & Eric Nivel Artificial General Intelligence Conference, Washington DC, 2009 Center for.

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Presentation on theme: "Transversal Skills & Current Methodologies Kristinn R. Thórisson & Eric Nivel Artificial General Intelligence Conference, Washington DC, 2009 Center for."— Presentation transcript:

1 Transversal Skills & Current Methodologies Kristinn R. Thórisson & Eric Nivel Artificial General Intelligence Conference, Washington DC, 2009 Center for Analysis & Design of Intelligent Agents and School of Computer Science, Reykjavik University Holistic Intelligence:

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3 Transversal Cognitive Skills Learning: An enormously wide range of things can be learned, regarding the world and the self Attention: To learn new things one must understand what to pay attention to Temporal grounding: Everything a natural intelligence can do is grounded in time, including its own operation Affect every perceptual, cognitive and motor skill in natural intelligence Not bound to particular levels of detail

4 Intelligence = Architecture To have transversal learning, attention and temporal grounding means the whole system learns through experience, which means in environments that change over time, such that the architecture changes / evolves Architecture = Intelligence

5 Implication for AGI Architecture must have system-wide support for transversal skills...

6 S/W Methodologies Focus on “objects” Focus on “objects” in software engineering renders (by and large) all current methodologies inapplicable to AGI E.g.: UML, component-oriented IT, etc. These methodologies do not provide good support for the construction of huge amounts of interacting heterogeneous processes

7 Argument For reaching AGI we need new methodologies that support construction of large systems with transversal cognitive skill properties These methodologies need to enable us to build with processes, rather than objects We need to take transversal cognitive skills into account from the very beginning resulting in a breadth-first approach The first systems may be dumb, but at least they will have built-in transversal skills from the get-go


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