How do we train a stone to think? A review of machine intelligence and its implications Academic Article

abstract

• 2016 Taylor & Francis. Machines have been getting intelligent and they are outpacing humans at certain complex tasks. This paper gives an overview of some of the key technologies used in machine intelligence. We hypothesize that given the future projections in machine capabilities, manmachine symbiosis is a given. Hence, we propose that human learning must be driven to increase the capacity to understand the concepts and apply that knowledge, rather than just memorise the facts or processes. Repetitive human tasks will get automated, freeing us to push the boundaries of creativity and innovation. This will force us to change how we learn and adapt.

authors

• Koola, Paul

published proceedings

• THEORETICAL ISSUES IN ERGONOMICS SCIENCE

author list (cited authors)

• Koola, P. M., Ramachandran, S., & Vadakkeveedu, K.

citation count

• 3

complete list of authors

• Koola, Paul Mario||Ramachandran, Satheesh||Vadakkeveedu, Kalyan

publication date

• March 2016

publisher

• Taylor & Francis  Publisher

published in

• Theoretical Issues in Ergonomics Science  Journal

keywords

• Ai
• Cognitive Architecture
• Learning
• Machine Learning
• Man-machine Symbiosis

Digital Object Identifier (DOI)

• 10.1080/1463922X.2015.1111462

start page

• 211

end page

• 238

volume

• 17

issue

• 2

URL

• http://dx.doi.org/10.1080/1463922x.2015.1111462