Opinion Dynamics and Sociophysics

Agent‐based Computer Simulations of Language Choice Dynamics

“…Somewhat similarly to this approach, the basic dynamics of our model 10 is the traditional voter process 15 in which at each iterative step every agent adopts the opinion of a randomly selected nearest neighbor. Thus, the probability of accepting the opinion of the neighborhood is proportional to the number n of agents sharing that opinion 32 . A detailed review of the voter model is available in Ref.…”

“…Thus, people can develop Q different opinions about F different topics, such as politics, age, sports, sexual orientation, and movies. The visible advantage here is that the model allows for Q F different opinion sets on all F topics 32 . Moreover, agents prefer to communicate with others with whom they share many opinions.…”

“…Moreover, agents prefer to communicate with others with whom they share many opinions. More specifically, the probability with which an agent takes over the different opinion of a neighboring individual is proportional to the number of features on which their opinions are found to agree 32 . For further details on the Axelrod model and a comprehensive review, please consult Ref.…”

“…With larger lattice sizes (larger populations), it generally takes longer to compute the final outcome. More specifically, a power of the lattice size determines the total number of steps necessary to reach the consensus, with the exponent depending upon the dimensionality of the lattice 32 . The outside pressure corresponds to a particular type of an external influence on the system, e.g., in the form of “advertising” 33 from some higher level authority (e.g., United Nations).…”

Non-potential phase transitions induced by dynamical traps

“…[1,2,3,4,5,6]). In particle, the notion of Hamiltonian and the corresponding master equation were employed to simulate opinion dynamics, the dynamics of culture and languages (e.g., [3,6,7]); the social force model inheriting the basic concepts from Newtonian mechanics was used to simulate emergent phenomena in traffic flow, pedestrian motion, the motion of bird flocks, fish school, swarms of social insects (e.g., [3,8,9,10]). However, we have to note that animate beings and objects of the inanimate world are highly different in their basic features, in particular, such notions as willingness, learning, prediction, motives for action, moral norms, personal Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page.…”