IBM: Games, A.I. & the Future of Cognitive Computing
Developing AI programs to master board games drove progress in the field — including advances in techniques for search algorithms and evaluation functions. However, research in such “clean” game domains did not really address most real-life tasks that have a "messy" nature. Real-world tasks typically pose additional challenges, such as ambiguous, hidden or missing data, and "non-stationarity," meaning that the task can change unexpectedly over time. IBM is now turning our attention to solving these real-world challenges.
IBM Research scientists Murray Campbell, Gerry Tesauro, and Eric Brown discuss "Extending Game-Based AI Research into the Wild."
Read more: http://ibm.co/1QwDqdy
Developing AI programs to master board games drove progress in the field — including advances in techniques for search algorithms and evaluation functions. However, research in such “clean” game domains did not really address most real-life tasks that have a “messy” nature. Real-world tasks typically pose additional challenges, such as ambiguous, hidden or missing data, and “non-stationarity,” meaning that the task can change unexpectedly over time. IBM is now turning our attention to solving these real-world challenges.
IBM Research scientists Murray Campbell, Gerry Tesauro, and Eric Brown discuss “Extending Game-Based AI Research into the Wild.”
Read more: http://ibm.co/1QwDqdy
