Analytic Versus Computational Cognitive Models: Agent-Based Modeling as a Tool in Cognitive Sciences:

TL;DR: In this paper , a cognitive model of social influence (Social Sampling Theory [SST]) is developed and applied to several social network phenomena including polarization and contagion effects, where social norms and individuals' private attitudes are represented as distributions rather than the single points used in most models.

TL;DR: This paper implements the erotetic decision-making model in the POSEIDON fisheries model and provides a principled proof that reasons-based cognitive structures allow for anticipatory behavioural adaptation rather than reactive behavioural adaptation.

TL;DR: A socio-cognitive agent model based on the concept of cognitive social frames that allow the adaptation of an agent’s cognition based on its interpretation of its surroundings, its social context is proposed.

TL;DR: Agent-based modeling is a powerful simulation modeling technique that has seen a number of applications in the last few years, including applications to real-world business problems, and its four areas of application are discussed by using real- world applications.

TL;DR: The definition of ODD is revised to clarify aspects of the original version and thereby facilitate future standardization of ABM descriptions and improves the rigorous formulation of models and helps make the theoretical foundations of large models more visible.

TL;DR: In their program, named Sugarscape, Epstein and Axtell begin the development of a "bottom up" social science that is capturing the attention of researchers and commentators alike.