ARTIFICIALLY INTELLIGENT MACHINES LEARN USING DEEP LEARNING ALGORITHMS!` THAT IS , THEY HAVE ACCESS TO INFORMATION ABOUT PATTERNS, AND

Describe four events such a machine could encounter in an ambitious way (cause, effect, time and location). How might a robotics researcher try to solve the ambiguity?

ARTIFICIALLY INTELLIGENT MACHINES LEARN USING " DEEP LEARNING"ALGORITHMS!`THAT IS , THEY HAVE ACCESS TO INFORMATION ABOUTPATTERNS, AND THEN RELY ON THE PATTERNS THAT MOST OFTEN MAKECORRECT PREDICTIONS.`DESCRIBE FOUR EVENTS SUCH A MACHINE COULD ENCOUNTER, BUTMAKE THEM AMBIGUOUS IN THE WAYS, WE'VE BEEN DISCUSSING INCLASS & CAUSE, EFFECT, TIME,\\ LOCATION ) ._SAY HOW A ROBOTICSRESEARCHER MIGHT TRY TO RESOLVE EACH AMBIGUITY.DESCRIPTION1 A? WHICH IS CORRECT?ROBOTEVENTDECISION BETWEEN11 A AND1 B 15TOUGHER BECAUSEDESCRIPTIONCAUSAL SOURCE INFO1 BIS SOMEHOWDEFECTIVE ORINCOMPLETEROBOTICS RESEARCHER : WHAT FIX MIGHT THEY PROPOSE TO REMEDYTHIS AMBIGUITY IABOUT CAUSED( USE THE " CAN WE BUILD A BRAIN ?"_ VIDEO TO UNDERSTANDTHE ISSUES AND CHALLENGES HERE, AND TO GET A SENSEof WHAT'S REALISTIC .. . )ZAROBOTEVENT? EFFECT INFO2FIX ?2 BIS DEVECTIVE - .`ROBOT~ 3AEVENT. "3TIME | INFOFIX )V 3 BIS DEFECTIVE ..`ROBOT4AEVENT4LOCATION INGOFIX )|4BIS DEFECTIVE .`