Computational & Mathematical Organization Theory (CMOT)

Computational and Mathematical Organization Theory provides an international forum for interdisciplinary research that combines computation, organizations and society. The goal is to advance the state of science in formal reasoning, analysis, and system building drawing on and encouraging advances in areas at the confluence of social networks, artificial intelligence, complexity, machine learning, sociology, business, political science, economics, and operations research. The papers in this journal will lead to the development of new theories that explain and predict the behaviour of complex adaptive systems, new computational models and technologies that are responsible to society, business, policy, and law, new methods for integrating data, computational models, analysis and visualization techniques. Various types of papers and underlying research are welcome. Papers presenting, validating, or applying models and/or computational techniques, new algorithms, dynamic metrics for networks and complex systems and papers comparing, contrasting and docking computational models are strongly encouraged. Both applied and theoretical work is strongly encouraged. The editors encourage theoretical research on fundamental principles of social behaviour such as coordination, cooperation, evolution, and destabilization. The editors encourage applied research representing actual organizational or policy problems that can be addressed using computational tools. Work related to fundamental concepts, corporate, military or intelligence issues are welcome.

Computational & Mathematical Organization Theory (CMOT) is :-

• International, Peer-Reviewed, Open Access, Refereed, Modelling and Simulation, Computational Mathematics, General Decision Sciences, Applied Mathematics, General Computer Science, confluence of social networks, artificial intelligence, complexity, machine learning, sociology, business, political science, economics, operations research, new computational models and technologies that are responsible to society, policy, and law, new methods for integrating data, computational models, analysis and visualization techniques , Online or Print , Quarterly Journal

• UGC Approved, ISSN Approved: P-ISSN P-ISSN: 1381-298X, E-ISSN: 1572-9346, Established: 1995, Impact Factor: 1.5
• Does Not Provide Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE