Universal Artificial Intelligence for Intelligent Agents: An Approach to Super Intelligent Agents

نویسندگان

  • Sushil Kumar Singh
  • Ashish Kumar Srivastava
  • Sitendra Tamrakar
چکیده

Human beings have the real intelligence. The intelligence triggers new thoughts in mind. Human thoughts so many things but he may take long times to solve a complex problem. If he builds such a system which work as like human intelligence, then the time taken to solve the complex problem may be very less. In this case he provides the Artificial Intelligence (AI) to the system. Artificial intelligence based system has the ability to mimic the functions of the human brain. An intelligent agent works on behalf of man. What will happen if send the intelligent agent in new environment? It can work properly or not properly in the new environment. If we provide such intelligence to the agent that it works proper in the new environment without changing their set of rules. Such type of intelligence generally known as Universal Artificial Intelligence (UAI). This paper suggests an idea to build such an intelligent agent that attempts to take the right decision in the new environment. Here we will use the neuro-fuzzy system to provide the more intelligence to agent and this agent can take right decision with learning capability in new environment. If an agent has more intelligence than other agent we can call it super intelligent agent. This paper also shows the simulation of intelligent agent to avoid obstacle in new environment. This simulated intelligent agent shows the good result as compared to existing work. KeywordsUniversal Artificial Intelligence, Hidden Markov Model, Neuro-Fuzzy Systems

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تاریخ انتشار 2013