  There are many examples of human decision making which cannot be modeled by
classical probabilistic and logic models, on which the current AI systems are
based. Hence the need for a modeling framework which can enable intelligent
systems to detect and predict cognitive biases in human decisions to facilitate
better human-agent interaction. We give a few examples of irrational behavior
and use a generalized probabilistic model inspired by the mathematical
framework of Quantum Theory to model and explain such behavior.
