Man vs. Machine: Deep Junior Makes the Fight Worth It
By Garry Kasparov
This article appeared in the February 10th edition of the Wall
Street Journal. You will need to register to read it online. Here are
excerpts
For 50 years one of the recurring motifs of the science of artificial intelligence
was a chess computer beating the world champion. It was almost an obsession
in the community, with scores of teams in dozens of universities dedicating
their academic careers to achieve this goal. The discussion never ceased over
the decades: When would this momentous day come?
It came on May 11, 1997, at 3:30 p.m., when IBM's multimillion-dollar machine,
Deep Blue, narrowly defeated me in a six-game match. One of the greatest milestones
of artificial intelligence had at long last been achieved.
But what did IBM Research do in this situation? Instead of turning the machine
over for study, instead of conducting follow-up experiments (Deep Blue could
have played against other grandmasters, in tournaments, against other chess
programs), instead of spawning dozens of doctoral theses, IBM dismantled the
machine and terminated the experiment.
* * *
My match with Deep Junior is the beginning of a new era in computer chess.
Both sides were under strict supervision and every aspect of each game was recorded.
As a result, we can see the strengths and shortcomings of the machines, and
of ourselves. This marks an important shift in the history of computer chess.
We are now moving away from corporate interests -- i.e., Man vs. Machine matches
as PR for companies like IBM -- and toward fair and documented procedures overseen
by the World Chess Federation.
* * *
What makes this new era so exciting is that there are many programs using different
techniques that produce distinct styles. Deep Junior is as different from Deep
Fritz as Kasparov is from Karpov. Chess offers the unique opportunity to match
human brains and machines. We cannot do this with mathematics or literature;
chess is a fascinating cognitive crossroads.
You will find
the full article here
