The monograph published by DeGruyter develops the ratcheting-up of counterintuitiveness model to explain how maximally counterintuitive concepts such as the concept of God and complex tapestry we call the doctrine of a new religious movement develop over time. It outlines an approach (dubbed the cognitive science of new religious movements) where cognitive science of religion researchers work in close historians of religion to fully understand the context in which NRM founders developed and marketed their religious innovations. It illustrates this approach by a study of the development of the doctrine of Ahmadiyya Muslim Jama'at in 19th century Northwest India.
One of the most comprehensive anthologies of Islam and Islamic movements, this edited volume contains thirty chapters covering movements from Islam Nusantara to the Nation of Islam. Unlike traditional anthologies, it also covers movements that originated in the Islamic world but are not considered part of the circle of Islam by mainstream Sunni and Shia leaders. These include the Bahai movement, Yazidis, and the Druze. We believe that understanding the full spectrum of religious movements that originated in the Islamic world can only help scholars and students of Islam.
A collection of the papers presented at the 2nd Annual Great Lakes Data Science Symposium held at Mercyhurst University, Erie, PA on May 4, 2019.
A collection of the papers presented at the 3rd Annual Great Lakes Data Science Symposium held at Mercyhurst University, Erie, PA on May 1, 2020.
Traditionally, artificial intelligence and cognitive science have focused on individual cognition at the expense of sociocultural processes their relationship to cognition. There has been an explosion of interest in using multiagent systems to simulate social interaction. However, existing systems assume overly simplistic environments (e.g., extremely co-operative). This workshop brought together cognitive modeling and agent-based social simulation researchers to start a dialogue on the synthesis of two approaches to design newer knowledge-rich agent-base social simulation technologies that could be used by social science researchers to understand dynamics of human societies.
A collection of the papers presented at the 14th Annual meeting of the North American Association for Computational Social and Organizational Sciences held in Notre Dame, IN from June 12-23, 2006.