Authors:
Lito Perez Cruz
1
and
David Treisman
2
Affiliations:
1
Sleekersoft, 2 Warburton Crt., Mill Park, VIC 3082 and Australia
;
2
C F Gauss & Associates, PO Box 652, Templestowe, VIC 3106 and Australia
Keyword(s):
Artificial Intelligence, Deep Learning, Agents.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computational Intelligence
;
Fuzzy Systems
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Learning Paradigms and Algorithms
;
Methodologies and Methods
;
Neural Networks
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Signal Processing
;
Soft Computing
;
Soft Computing and Intelligent Agents
;
Theory and Methods
Abstract:
There are philosophical implications to how we define Artificial Intelligence (AI). To talk about AI is to deal with philosophy. Working on the intersections between these subjects, this paper takes a multi-lens approach in examining the reasons for the present resurgence of interest in things AI through a range of historical, linguistic, mathematical and economic perspectives. It identifies AI’s past decline and offers suggestions on how to sustain and give substance to the current global hype and frenzy surrounding AI.