Knowledge representation is at the core of a radical idea for understanding intelligence. Instead of trying to understand or build brains from the bottom up, the goal is to understand and build intelligent behavior from top to bottom, put the focus on what agents need to know in order to behave intelligently, how this knowledge can be represented symbolically, and how automated reasoning procedures can make this knowledge available as needed. Author * well-recognized expert in the field who have applied the technique to real-world problems * Presents the core ideas of KR & R in a simple straight forward approach, depending on the custom research system * Offers the first true synthesis of the field in more than a decade