A Framework for Intelligent Situation Analysis, FISA, is proposed. The main contribution of that framework is providing situation awareness in the domain of political disputes. To our knowledge, it is the first attempt for solving political disputes by crossing the gap between the looseness of political situations specifications and the tightness of logical formal methods. Other contributions include exploiting Communicating Sequential Processing, CSP, and the ‘fairness’ of Linear Temporal Logic, LTL, to provide ‘formal’ modeling for discovering ‘starvation’ and ‘deadlock’ situations. In this respect, the machine-based generation of the CSP processes that represents the situation model is an essential characteristic of the proposed framework. Actually, FISA is capable to answer questions about how to make ‘situation change(s)’ (based on fairness satisfaction) in order to ‘solve’ the nondeterminism in the underlying model situations.