Investigating and Diagnostics with Intelligent Agents in Unknown Computable Environments
Volume: 1 - Issue: 04 - Date: 01-04-2012
Approved ISSN: 2278-1412
Published Id: IJAECESTU195 | Page No.: 103-107
Author: Sushil Kumar Singh
Co- Author: Kalpana Rai
Abstract:-The Paper concerns with the optimal behavior of agents in unknown computable environments,
also known as universal artificial intelligence. These theoretical agents are able to learn to perform
optimally in many types of environments. It is easy to work properly for an agent with known environment.
If we sent this agent in unknown environment then will it work properly or not? Here I’ll try to build
such an intelligent autonomous body which will try to give the proper response for unknown
environment. This autonomous body (i.e. intelligent agent) will learn by itself for the unknown
environment and will take appropriate action to that environment. Although they are able to optimally
use prior information about the environment if it is available, in many cases they also learn to perform
optimally in the absence of such information. Moreover, these agents can be proven to upper bound the
performance of general purpose computable agents. Clearly such agents are extremely powerful and
general, hence the name universal artificial intelligence. Here I’ll use the Hidden Markov Model (HMM) for
observations for the various internal states.
Key Words:-HMM , FIS , Intelligent Agents.
Area:-Engineering
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