The Inescapable Duality of Data and Knowledge

03/24/2021
by   Amit Sheth, et al.
0

We will discuss how over the last 30 to 50 years, systems that focused only on data have been handicapped with success focused on narrowly focused tasks, and knowledge has been critical in developing smarter, intelligent, more effective systems. We will draw a parallel with the role of knowledge and experience in human intelligence based on cognitive science. And we will end with the recent interest in neuro-symbolic or hybrid AI systems in which knowledge is the critical enabler for combining data-intensive statistical AI systems with symbolic AI systems which results in more capable AI systems that support more human-like intelligence.

READ FULL TEXT

page 5

page 6

page 7

page 9

page 10

page 11

page 13

research
12/22/2022

A Semantic Framework for Neural-Symbolic Computing

Two approaches to AI, neural networks and symbolic systems, have been pr...
research
02/11/2021

On the Philosophical, Cognitive and Mathematical Foundations of Symbiotic Autonomous Systems (SAS)

Symbiotic Autonomous Systems (SAS) are advanced intelligent and cognitiv...
research
05/19/2023

Testing System Intelligence

We discuss the adequacy of tests for intelligent systems and practical p...
research
12/11/2020

Next Wave Artificial Intelligence: Robust, Explainable, Adaptable, Ethical, and Accountable

The history of AI has included several "waves" of ideas. The first wave,...
research
12/08/2021

Smart Support for Mission Success

Today's battlefield environment is complex, dynamic and uncertain, and r...
research
04/23/2021

A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems

Computer vision (CV) techniques try to mimic human capabilities of visua...
research
05/12/2023

Neurosymbolic AI and its Taxonomy: a survey

Neurosymbolic AI deals with models that combine symbolic processing, lik...

Please sign up or login with your details

Forgot password? Click here to reset