Computational Vision & Robotics Laboratory FORTH, Institute of Computer Science

Towards Global Brain Models

Stathis Kasderidis

FORTH, ICS,Computer Vision & Robotics Laboratory

Computational Vision & Robotics Laboratory FORTH, Institute of Computer Science2

Methodological Observations A. Models tend to be increasingly

accurate for low –level phenomena. B. Middle level modelling (3 or

more) modules interacting not in focus!

C. We need more experience with interactions in the middle level

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GNOSYS’ View

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Ventral pathway

V1

V2

V4TEO

TE

LGN Input

Dorsal pathway

V1

V5

LIP

LGN Input

Learning

Hard-wired

Currently Hard-wired

Objects

Oriented bars Movement

Spatial position, colour, motion

colour

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Goal Representation

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Goal Tree

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Implementation Details

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Attentional Agent

Partition of Action Space:

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Questions

1. How do we arrive at concept representations incrementally

2. How do we retrieve salient concept features depending on context

3. How do we select the balance among processing and learning modes during operation

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Questions-2

4. How do we get concept salient features to represented as visual imagery

5. How do we achieve scenario blends

6. How concepts can be composed on the fly to facilitate imagination

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Questions-3

7. How do we achieve retrieval of the same semantic object in spite of different syntactical forms (conjunctive, disjunctive, negation, etc)

8. Analogical thinking…

Many more…

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Conclusions

Still we lack detailed understanding of the cognitive level module interactions!

Thank you!