There is a wide gap between current machine learning representations and the way in which our minds represent reality. Our mental representations are dynamic, coherent, unified (in the sense that we establish relationships between all our domains of knowledge, in the context of a global universe), and they are updated on the fly. In this panel, we bring some important thinkers and practitioners of cognitive science, robotics, AI and philosophy together to discuss representations for future generations of AI systems.

This is the first in a series of events on Cognitive Artificial Intelligence. The goal of Cognitive AI is to build and understand systems that can make sense of their environment, combine knowledge and perception, learn to act on domains they have not encountered before, make autonomous decisions and explain them, interact deeply with people and human society.

We are proud to welcome our panelists:

Mark Bickhard: Cognition and Truth Value

Stephen Grossberg: How Each Brain Makes a Mind: From Brain Resonances to Conscious Experiences

Yulia Sandamirskaya: Memory, intentionality, and autonomy enabled by neuronal attractor dynamics

Jerome Busemeyer: Modeling cognition and decision using quantum probability theory

Steven Rogers: What are the tenets for machine representations (artificial qualia?) that enable flexible behaviors?

Joscha Bach: Perception, Reflection and Coherence

Program: https://cognitive-ai-panel.webflow.io...