Thursday Morning Talk (on Zoom)

Abstract:

One of the assumptions made in the original SCIoI proposal is that intelligence is non-decomposable. This means that intelligent behavior results to a large degree from the interactions between component and not only from the components themselves.  Components have different names, depending on what discipline you are from.  If you look at the study of cognition, you might call these components “attention, the formation of knowledge, memory and working memory, judgment and evaluation, reasoning and “computation”, problem solving and decision making, comprehension and production of language” [Wikipedia].  To be able to study the interactions among such components, SCIoI has proposed three Example Behaviors, each associated with a different “type” of intelligence:

1) Escaping from an escape room – individual intelligence
2) Learning in social interaction – social intelligence
3) Cooperative shepherding – collective intelligence

These example behaviors integrate the synthetic output of SCIoI projects, mostly from research unit 1, but indirectly also from RU2 and RU3.  The idea is the following: If you develop an intelligence mechanism for visual attention, this mechanism should demonstrate its validity in the context of an integrated “intelligent” system.  Only then can we study and understand the interactions among your and other components.  We will therefore integrate your mechanism into one of the three example platforms, one platform for each example behavior.  Within this system, the interactions with other components are revealed and we can observe your component’s functionality within their context.

This presentation will trigger a SCIoI-wide, gradual process of building the three example behaviors.  The goals of the presentation are:

1. to briefly talk about non-decomposability
2. to discuss how example behaviors fundamentally contribute to SCIoI
3. to introduce the three example platforms (mobile manipulator for behavior 1, humanoid robots for behavior 2, and swarm robots for behavior 3), including sensors, actuators, possible interfaces and uses
4. to provide you with initial information that should enable you to start thinking about the integration of your contribution into the platform(s)
5. to answer your questions to plan next steps(Photo by Brett Jordan on Unsplash)