IRI 2019 Panel I
2019
The goal for this panel is to propose a schema for the advancement of intelligent systems through the use of symbolic and/or neural AI and data science. Specifically, discussants will explore how conventional numerical analysis and other techniques can leverage symbolic and/or neural AI to yield more capable intelligent systems. This approach could yield significant improvements in such domains as Meteorological and Oceanographic (METOC) signal processing, logistics, scheduling, pattern recognition, optimization, ergonomics, explanation, causal inference and prediction, system diagnostics, education and training, and a plethora of additional applications. Self-reference is inherent to autonomous thought; and, this appears to be indistinguishable from consciousness from a computability perspective. Thus, the question arises, can we program more efficient ways to support the programming (problem-solving) process? The panel will explore these and other advanced topics related to information reuse and integration and of fundamental importance to data science. The answers to various questions investigated serve as the affirmations that set the stage for the development of AI enhancements to contemporary systems, which are becoming increasingly ubiquitous. This panel will explore where we need to apply AI, what type of AI we need to design, and how such AI designs might best be realized. The panelists will kick-off the discussion by presenting a brief introduction on their positions. This will be followed by a period of open discussion between the panelists and audience members.