Formulating Agent Description and Environment for Artificial Intelligence's Product

As per objective we need to create an agent which can classify the incoming text(message) as ham or spam only thus based on the agent type[1] this project agent falls under simple reflex agent as it takes action based on alone the current environmental situation i.e., it maps the current percept into proper action ignoring the history of percepts. The mapping process is simply a rule-based matching algorithm which is here Naïve Bayes. A function that specifies the agent's action in response to every possible percept sequence i.e., agent function maps perceptions into action and agent program, combined with a machine architecture, implements an agent function. An environment is everything that surrounds the agent that is not part of the agent itself. This is where the agent'lives' or operates, and provides the agent with something to sense and somewhere for it to move around.