In the session I presented the initial developments towards a theory of awareness that the ASLab team is doing inside the CORESENSE and METATOOL projects.
We did a short, ten minute presentation, and after that we had an interesting conversation around the ideas presented and the possibility of developing a complete model-based theory of aware agents.
The presentation addressed the possibility of having a solid theory of awareness both for humans and machines and what are the elements that such a theory should have. We talked about two of these elements: the clear delimitation of a domain of phenomena, and the essential concepts that are the cornerstones of the theory.
These were the concepts that we proposed/discussed:
Sensing: The production of information for the subject from an object.
Perceiving: The integration of the sensory information bound to an object into a model of the object.
Model: Integrated actionable representation; an information structure that sustains a modelling relation.
Engine: Set of operations over a model.
Inference: Derive conclusions from the model. Apply engines to model.
Valid inference: A inference whose result matches the phenomenon at the modelled object.
Exert a model: Perform valid inferences from the model.
Understanding: Achieving exertability of a model of the object/environment.
Specific understanding: Understanding concerning a specific set of exertions.
Mission understanding: Understanding concerning a set of mission-bound exertions.
Omega understanding: Understanding all possible exertions of a model in relation to an object.
Awareness: Real-time understanding of sensory flows.
In 2004, DARPA and John McCarthy organised a Workshop on Self-Aware Computing Systems because the topic of artificial self-awareness was gaining momentum. It was a workshop by invitation at Washington D.C. Most participants came from USA, but there were two from Europe: Aaron Sloman from UK and Ricardo Sanz from Spain.
These were the thirty-three participants in the workshop:
James Van Overschelde
DARPA Worksop participants.
During three days we discussed the possibilities and approaches to machine self-awareness, within the specific pespective of artificial intelligence. Twenty years after, the discussion remains at the same point. Not much advance has been produced
Maybe the problem is too difficult for human minds.
This is a speech given at the FFP 2017. FFP2017 was a conference organised by the Foro del Futuro Próxmo that took place on September 28-29 de septiembre de 2017 in the Escuela de Ingenieros Industriales de la Universidad Politécnica de Madrid.
FFP2017 analized the impact of mobility technologies in the mobility of people.