1.
Diagram of GusRecog Gustatory Recognition Mind-Module
Taste Smell Vision Concepts Free Will Motorium
/#######\ /iiiiiii\ /!i!i!i!\ ________ /YYYYYYYYY\
| || ||||||| || ||||||| | | | | / \ | ||||||||| |
| sweet || ||||||| || | ___ | | | | |( Volition )|---*|||||| |
| || | ||||| || / \ | | | | \________/-|-------*|| |
| sour || |f |||| || (image)-|--+ | | | | ||||||||| |
| || | r ||| || \___/ | f|r|h| | | ||S|||E|| |
| || || u || || | o|e|u| | | ||P|||A|| |
| || ||| i | || | o|d|n| | | ||I|||T|| |
| || |||| t|-||---------| d| |g| __V____ | ||T||| || |
| salt || ||||| |||| | | |e| / \ | || |||||| |
| || |||||||||| | | |r| / Emotion \| ||||||||| |
| bitter || |||||||||| | | | | \_________/| ||||||||| |
| || |||||||||| | | | | | ||||||||| |
The GusRecog module for gustatory recognition will integrate a robotic taste system with the thinking structures of the AI Mind.
Most likely the GusRecog module will receive and process data from industrial sensors of taste.
4. Code of GusRecog() needed for
ghost.pl First Working AGI in Perl
sub GusRecog() { # 2016may01: stub for gustatory recognition of taste # http://mind.sourceforge.net/gusrecog.html } # 2016may01: GusRecog() will return to the Sensorium() module.
5.
Variables for GusRecog Module
$bitter -- variable to represent intensity of bitter taste.
$salt -- variable to represent intensity of salty taste.
$sour -- variable to represent intensity of sour taste.
$sweet -- variable to represent intensity of sweet taste.
6. Troubleshooting and Debugging for
AI Mind Maintainers
6.1.a. Symptom: (Something goes wrong.)
6.1.b. Solution: (AI Mind
Maintainer devises solution.)
AI Minds need to be installed in robots with artificial taste sensors.
Roadmap to Artificial Intelligence
http://github.com/kernc/mindforth/blob/master/wiki/GusRecog.wiki
https://en.wikipedia.org/wiki/Category:Sensory_systems
https://en.wikipedia.org/wiki/Category:Gustation
https://en.wikipedia.org/wiki/Category:Gustatory_system
https://en.wikipedia.org/wiki/Taste
Aromyx Corporation – the EssenceChip™
9.
AiTree of Mind-Modules for
Natural Language Understanding