Towards Artificial General Intelligence
... Recent work conducted in my own lab [7] with colleagues in Belgium has suggested that a new approach of functional contextualism (which differs from current forms of cognitivism — e.g., of memory, attention, and reasoning through logic) may be the solution to progress AI into the generalized form of AGI, where the system learns and understands concepts and how these relate to other concepts (through something called relational frames), and the context in which cues within the environment influence functions and the meaning or uses of such concepts. For example, the function of a chair is to sit on in the context of a classroom, and maybe very different in another context, such as an art exhibition in the context of when it is broken — i.e., it is the environmental context which defines the function of the concept at any one point in time, and not some predefined definition one may have stored in memory.
This functional contextual approach allows for concepts to be understood through a relational network, for instance an equivalence class can be established within this relational network, whereby, for example, knife and fork are contained within the equivalence class (or category) of cutlery. ...
Perhaps the greatest chances of producing ethical AI would mean that the AGI would be able to derive relations of empathy towards others, and the functional contextual approach allows for these relations to emerge (called perspective-taking relations) as one relationally frames themselves (‘I’) in the context of the perspective of the other ('YOU'). Therefore, this functional contextual approach will also likely bring about more ethically orientated AI agents. These are both exciting and thought-provoking times.
See the full story here: https://www.psychologytoday.com/us/blog/psychology-in-society/202203/towards-artificial-general-intelligence-agi
