Artificial Intelligence (AI) is the theory and development of computer systems able to perform
tasks that normally require human intelligence. In previous AI research, there has been little
success in creating biologically plausible models that mimic naturally intelligent behavior. This
research focuses on understanding how learning works through decision making and also
finding a practical application of emulating learning. The model developed is an adaptive finite
state automaton with probabilistic outputs. Through a series of experiments, we are determining
if the model presents key properties psychologists find in nature through classical and operant
conditioning. The objectives of this research are to reproduce past results to corroborate the
validity of the model, illustrate natural intelligence, and portray a biologically accurate structure.
This investigation will be accomplished through simulating 100 trials of each experiment to
compare the results to data found in nature. In the end, the results were positive and showed
that this model is a compelling candidate for mirroring low level natural intelligence and clearly
demonstrates many properties of conditioning studied by psychologists.
tasks that normally require human intelligence. In previous AI research, there has been little
success in creating biologically plausible models that mimic naturally intelligent behavior. This
research focuses on understanding how learning works through decision making and also
finding a practical application of emulating learning. The model developed is an adaptive finite
state automaton with probabilistic outputs. Through a series of experiments, we are determining
if the model presents key properties psychologists find in nature through classical and operant
conditioning. The objectives of this research are to reproduce past results to corroborate the
validity of the model, illustrate natural intelligence, and portray a biologically accurate structure.
This investigation will be accomplished through simulating 100 trials of each experiment to
compare the results to data found in nature. In the end, the results were positive and showed
that this model is a compelling candidate for mirroring low level natural intelligence and clearly
demonstrates many properties of conditioning studied by psychologists.

