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- John picked up the two double Latte Grandes and walked over to the corner table
- near the fireplace where Mary was setting up the chess game. She took a pawn
- of each color and concealed them in her hands before offering two fists to John.
- Putting the cups down, he tapped Mary’s left hand and was pleased to see the
- white piece as he took his chair.
- John said “Playing chess always reminds me of the game between IBMs Deep
- Blue Supercomputer and the reigning World Chess Champion at the time, Garry
- Kasparov.” He glanced at the board, “d4, I think,” as he moved his pawn.
- Mary said, “Me too.” Mary smiled to herself as she moved her own queen’s
- pawn forward to d5. She knew that John had strong feelings about the limits of
- true Artificial Intelligence and she hoped to gain an advantage by baiting him.
- “That was the first time a computer won a complete match against the world’s
- best human player. It took almost 50 years of research in the field, but a computer
- finally was thinking like a human.”
- John bristled slightly, but then realized that Mary was just poking a little fun.
- Taking his next move, c4, he said “You can guess my position on that subject.
- The basic approach of Deep Blue was to decide on a chess move by assessing
- all possible moves and responses. It could identify up to a depth of about 14
- moves and value-rank the resulting game positions using an algorithm developed
- in advance by a team of grand masters. Deep Blue did not think in any real
- sense. It was merely computational brute force.”
- Mary reached over and took John’s pawn, accepting the gambit. “You must
- admit,” she replied, “although Kasparov’s ‘thought’ processes were without a
- doubt something very different than Deep Blue’s, their performances were very
- similar. After all, it was a team of grand masters that designed Deep Blue’s
- decision-making ability to think like them.”
- John played his usual Nc3, continuing the main line of the Queen’s Pawn Gambit.
- “You’ve made my point,” he exclaimed, “Deep Blue did not make its own decisions before it moved. All it did was accurately execute, the very sophisticated
- judgments that had been preprogrammed by the human experts.”
- “Let’s look at it from another angle,” Mary said as she moved Nf6. “Much like
- a computer, Kasparov’s brain used its billions of neurons to carry out hundreds
- of tiny operations per second, none of which, in isolation, demonstrates intelligence. In totality, though, we call his play ‘brilliant’. Kasparov was processing
- information very much like a computer does. Over the years, he had memorized
- and pre-analyzed thousands of positions and strategies.”
- “I disagree,” said John quickly moving e3. “Deep Blue’s behavior was merely
- logic algebra—expertly and quickly calculated, I admit. However, logic established the rules between positional relationships and sets of value-data. A fundamental set of instructions allowed operations including sequencing, branching,
- and recursion within an accepted hierarchy.”
- Mary grimaced and held up her hands, “No lectures please.” Moving to e6 she
- added, “A perfectly reasonable alternative explanation to logic methods is to
- use heuristics methods, which observe and mimic the human brain. In particular, pattern recognition seems intimately related to a sequence of unique images
- connected by special relationships. Heuristic methods seem as effective in producing AI as logic methods. The success of Deep Blue in chess programming is
- important because it employed both logic and heuristic AI methods.”
- “Now who’s lecturing,” responded John, taking Mary’s pawn with his bishop. “In
- my opinion, human grandmasters do not examine 200,000,000 move sequences
- per second.”
- Without hesitation Mary moved c5 and said, “How do we know? Just because
- human grandmasters are not aware of searching such a number of positions
- doesn’t prove it. Individuals are generally unaware of what actually does go on
- in their minds. Patterns in the position suggest what lines of play to look at,
- and the pattern recognition processes in the human mind seem to be invisible to
- the mind.”
- John said, “You mean like your playing the same Queen’s Gambit Accepted line
- over and over again?” as he castled.
- Ignoring him, Mary moved a6 and said, “Suppose most of the chess player’s skill
- actually comes from an ability to compare the current position against images of
- thousands of positions already studied. We would call selecting the best position
- (or image) insightful. Still, if the unconscious human version yields intelligent
- results, and the explicit algorithmic Deep Blue version yields essentially the same
- results, then why can’t I call Deep Blue intelligent too?”
- John said, “I’m sorry, but for me you’ve overstated your case by calling Deep
- Blue intelligent,” moving Qe2. He continued, “Would you like to reconsider your
- position?”
- Mary moved Nc3 and said, “Of course not, I still have plenty of options to think
- about alone this line.”
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