2.3- What Is Model Based Reflex Agent In Artificial Intelligence Hindi | AI UGC-NET By Deepak Garg
Автор: TutorialsSpace- Er. Deepak Garg
Загружено: 2019-11-14
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What Is Model Based Reflex Agent In Artificial Intelligence In Hindi | AI Lectures- Deepak Garg
This type of agents is little bit more complicated than the reflex based agents. A model based agent holds an internal state based on the percept history. This internal state helps agent to handle a partially observable environment. It consider both internal state and current percept to take an action. Also, each step it updates the internal state.
Updating internal state requires two kinds of knowledge.
Agent needs to know how the world evolves independently from the agent.
How the agent’s actions affect the environment.
Both of these knowledge is embedded to the agent’s program and they help agent to understand how the world works. Implementation of this, is called the model of the world and the agent that uses this model to decide what action to take called model based agent.
A model based reflex agent takes the current percept and combine it with the internal state, model, and most recent action’s effect then decides about what action to take. Below is a pseudo code for it.
P.S. It is rarely possible to determine exact state of a partially observable environment.
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