reSee.it Video Transcript AI Summary
Speaker 0: Pattern deduction HI, human intelligence. AI generated voice alpha. Standalone pattern set zero s one and connect four. Connect four and zero moves. Deduction path, predefined winning pattern PPPP. Number of patterns, one. Pattern list, p p p. To be continued. Sourcetome.org. Please like, follow and share.
Speaker 1: Pattern deduction HI, human intelligence, AI generated voice miles, stand alone pattern set1s1 and connect4, connect4 and one moves, deduction path, disk omission on pattern, number of patterns, one, pattern list, Ray0 PPP, deduced from pattern set, set zero s1 pppp, deduction path, predefined winning pattern pppp. To be continued, sourcetumia.org, please like, follow and share.
Speaker 2: Human intelligence. AI generated voice Mary. Stand alone pattern set two s one and connect four. Connect four in two moves. Deduction path, empty siding fork. Number of patterns, two. Pattern list, ray zero ppp, ray zero ppp, deduced from ray zero ppp, ray zero ppp. Condition list: Because this is an empty siding, fork the rotatable empty ray position of the first pattern must be on a different column than the ray of the second pattern. In other words, their rays must be on siding columns, not be sharing a column. Deduced from pattern set s pset1 s1, ray0ppp, deduction path, disk omission on pattern. Pset1s1 Ray0ppp deduction path, disk omission on pattern. I think the concept of pattern recognition and deduction HI will be a central and main paradigm in AI because it does not depend on huge computing power and memory size as brute force AI does. In fact, pattern deduction is an attempt to simulate a more human and as such smarter form of modeling and reasoning than brute force and AI trying to do it the human way. To be continued, source2mia.org. Please like, follow and share.
Speaker 3: Pattern Recognition and Deduction HI, Human Intelligence. AI generated voice Kaili and subtitles. Stand alone pattern set two s two and connect four. Connect four and two moves. Deduction path: Empty sharing fork. Number of patterns: two. Pattern list: Re zero PPP, Re one PPP. Deduced from: Re zero PPP, Re zero PPP. Condition list: 11 empty equal: Because this is an empty sharing fork the rotatable empty position of the first pattern is by definition on the same column as the RE of the second pattern. In other words their REs must be sharing the same column, not be on different siding columns. Furthermore, for the fork to be effective one RE must be atop RE1 with depth one on top of the sub RE0 with depth zero. After all the opponent must defend on the RE0 which move transforms the RE1 PPP into RE0 PPP enabling the player to win. Deduced from pattern sets: P Set one S1, RE0 PPP I think the concept of pattern recognition and deduction HI will be a central and main paradigm in AI because it does not depend on huge computing power and memory size as brute force AI does. In fact pattern deduction is an attempt to simulate a more human and has such smarter form of modelling and reasoning than brute force, an AI trying to do it the human way. To be continued.
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Speaker 4: Pattern Recognition and Deduction HI Human Intelligence. A generated voice patent and subtitles. All columns pattern set 2A1 in connect four. Connect four in two moves. Deduction path: All columns and opponent disc emission on depth of Re zero PPP. Number of patterns: one. Pattern list: Re one PPP. Deduced from: Re zero PPP. Condition list: At least one Re one PPP, at least one Re one PPP exists on the game board. In an all columns pattern set for winning in two moves every open column has a re-one PPP pattern. At least one such column with re-one PPP must exist, otherwise all columns are closed, the game is finished and a win in two moves is no longer an option of course. All open col Re1PP, in an all columns pattern set for winning in two moves every open column has a Re1PP pattern. In other words all columns are closed or have a Re-1PPP. As such an opponent's move on any open column creates a Re-0PPP enabling the player to win. Deduced from pattern sets, P Set one S one, Re zero PPP, deduction path, disk omission on pattern. I think the concept of pattern recognition and deduction HI will be a central and main paradigm in AI because it does not depend on huge computing power and memory size as brute force AI does. In fact pattern deduction is an attempt to simulate a more human and as such smarter form of modelling and reasoning than brute force, an AI tried to do it the human way.
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