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1. AI agents go through finite set of states , their behavior and decision making varies from state to state. An agent transitions from one state to another due to the occurrence of an event/trigger

2. Goal Based Agent

   • It search a state space to reach a target
   • Problem solving tasks can be transformed into the problem of finding path in a tree structure or graph
     • Tree is a hierarchy of nodes with parent - child relationship
     • A graph consists of nodes and a set of directed arcs between nodes
   • To solve a problem, define the underlying search space and then apply a search algorithm
     • Uninformed Search
       • It dose not use any clues or beforehand knowledge to speed up the search process
       • It simply examine the entire search pace node by node.
       • Depth - first and breath - first are two well know uninformed search
         • Depth - first : Search one path to its completion before trying an alternative path