On the Legg-Hutter Definition of 'Universal Intelligence': Difference between revisions

From NCOR Wiki
Jump to navigationJump to search
(Created page with "Department of Computer Science, University at Buffalo, March 12, 2021 Presentation by Jobst Landbrebe, '''On the Legg-Hutter Definition of 'Universal Intelligence''' The pre...")
 
mNo edit summary
 
(One intermediate revision by the same user not shown)
Line 1: Line 1:
Department of Computer Science, University at Buffalo, March 12, 2021
''Presentation by [https://wikitia.com/wiki/Jobst_Landgrebe Jobst Landbrebe], (Cognotekt, GmbH)''


Presentation by Jobst Landbrebe, '''On the Legg-Hutter Definition of 'Universal Intelligence'''
Department of Computer Science, University at Buffalo, 12 noon, March 12, 2021,  


The presentation by Jobst Landgrebe starts with a detailed  account of the differences between simple and complex systems and of the reasons why the latter cannot be modelled mathematically in such a way as to allow exact predictions. This implies limits to the degree to which we can use data derived from complex systems to train neural networks in order to create emulations of the behavior of such systems in a machine. This in turn -- since human brains a complex systems -- implies limits also as to the degree to which we can emulate human intelligence in a machine. There follows a critical analysis of the influential Legg-Hutter definition of 'universal intelligence', published in the journal Minds and Machines in 2007.
The presentation by Jobst Landgrebe starts with a detailed  account of the differences between simple and complex systems and of the reasons why the latter cannot be modelled mathematically in such a way as to allow exact predictions. This implies limits to the degree to which we can use data derived from complex systems to train neural networks in order to create emulations of the behavior of such systems in a machine. This in turn -- since human brains a complex systems -- implies limits also as to the degree to which we can emulate human intelligence in a machine. There follows a critical analysis of the influential Legg-Hutter definition of 'universal intelligence', published in the journal Minds and Machines in 2007.

Latest revision as of 18:36, 13 March 2021

Presentation by Jobst Landbrebe, (Cognotekt, GmbH)

Department of Computer Science, University at Buffalo, 12 noon, March 12, 2021,

The presentation by Jobst Landgrebe starts with a detailed account of the differences between simple and complex systems and of the reasons why the latter cannot be modelled mathematically in such a way as to allow exact predictions. This implies limits to the degree to which we can use data derived from complex systems to train neural networks in order to create emulations of the behavior of such systems in a machine. This in turn -- since human brains a complex systems -- implies limits also as to the degree to which we can emulate human intelligence in a machine. There follows a critical analysis of the influential Legg-Hutter definition of 'universal intelligence', published in the journal Minds and Machines in 2007.

Video
Slides