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Reflex agent-Artificial Intelligence
If an agent decides and executes an action in response to a sensor input without consultation of its world, then it may be considered a reflex response. Humans flinch if they touch anything very hot, regardless of the specific social situation they are in, and this is obviously a reflex action. Likewise chess agents are programmed with lookup tables for endings and openings, so that they do not have to do any processing to select the right move, they simply look it up. In timed chess matches, this kind of reflex action must save several seconds to be used in more difficult situations later.
Unluckily, relying on lookup tables is an insensible way to program intelligent agents: a chess agent would need 35100 entries in this lookup table (noticeably more entries than there are atoms in the universe). And if we remember that the world of a chess agent consists of only thirty two pieces on sixty four squares, it's obvious that we need more intelligent means of selecting a rational action. For RHINO, it is not easy to identify any reflex actions. This is perhaps because performing an action without discussing the world representation is potentially risky for RHINO, because people get everywhere, and museum exhibits are costly to replace if broken!
#formular for calculating speed up factor fo super scalar architecture, super pipeline architecture and VLIW with m different functional units.
what is CAI? explain its pitfalls.
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