Olivier Georgeon's research blog—also known as the story of little Ernest, the developmental agent.

Keywords: situated cognition, constructivist learning, intrinsic motivation, bottom-up self-programming, individuation, theory of enaction, developmental learning, artificial sense-making, biologically inspired cognitive architectures, agnostic agents (without ontological assumptions about the environment).

Monday, December 20, 2010

Ernest 8.1 can eat

Ernest can now perform different actions with different body parts simultaneously. Namely, he can eat this delicious blue substance with his virtual mouth while enacting his usual wandering behavior with his antennas and virtual legs.

To obtain this result, Ernest was provided with a modular internal structure. Ernest now has an iconic module that implements his first skills to exploit his distal sensory system, and a "homeostatic" module that controls his homeostatic regulation behavior. Ernest 8.1, yet, only has one single homeostatic behavior: eating the blue substance. Each module has its own enaction canal, making simultaneity across modules possible.

The homeostatic primitive schema was added to the other primitive schemas listed previously:
- [Eat, succeed, 100] Ernest is crazy about eating.
and one iconic pattern was predefined:
- [0,0] Blue_icon (each pixel represents the distance to the blue square in the corresponding sensory field).

Ernest now also supports inborn composite schemas. In this experiment, these are:
- [Touch ahead empty, Move forward, 3]
- [Turn left toward empty, Move forward, 3]
- [Turn right toward empty, Move forward, 3]
- [Blue_icon, Eat, 3]

The three first inborn composite schemas are just provided to accelerate the initial learning. The fourth is provided to make Ernest eat when he senses that he is on a blue square. These four composite schemas were preset with an initial weight of 3.

The sensory system being linked to the homeostatic system through the [Blue_icon, Eat] composite schema makes Ernest 8.1's distal sensory system somehow resemble smell (in addition to vision) because the sensory system detecting the null distance to food triggers eating.

These developments were inspired by Joanna Bryson's paper Structuring Intelligence: The Role of Hierarchy, Modularity and Learning in Generating Intelligent Behaviour. Joanna's discussion on the agent's modular architecture inspired our implementation of Ernest's modules. Also, we follow her argument that sometimes it is ok to pre-encode the desired behavior into the agent.

Now the question is how to implement the effects that the satisfaction gained through eating should have on Ernest to make him exploit his distal sensors in the search for food.

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