Todd Suomela's Library tagged agent-based-model →  View Popular, Search in Google

weblog-individual agent-based-model gis simulation

"We consider a network of coupled agents playing the Prisoner's Dilemma game, in which players are allowed to pick a strategy in the interval [0,1], with 0 corresponding to defection, 1 to cooperation, and intermediate values representing mixed strategies in which each player may act as a cooperator or a defector over a large number of interactions with a certain probability. Our model is payoff-driven, i.e., we assume that the level of accumulated payoff at each node is a relevant parameter in the selection of strategies. Also, we consider that each player chooses his/her strategy in a context of limited information. We present a deterministic nonlinear model for the evolution of strategies. We show that the final strategies depend on the network structure and on the choice of the parameters of the game. We find that polarized strategies (pure cooperator/defector states) typically emerge when (i) the network connections are sparse, (ii) the network degree distribution is heterogeneous, (iii) the network is assortative, and surprisingly, (iv) the benefit of cooperation is high. "

social-networks networks game-theory agents social-science agent-based-model prisoners-dilemma model evolution strategy cooperation

"This paper develops the concepts and methods of a process we will call ldquoalignment of computational modelsrdquo or ldquodockingrdquo for short. Alignment is needed to determine whether two models can produce the same results, which in turn is the basis for critical experiments and for tests of whether one model can subsume another. We illustrate our concepts and methods using as a target a model of cultural transmission built by Axelrod. For comparison we use the Sugarscape model developed by Epstein and Axtell."

simulation computer agent-based-model modeling computational-science organization

academic-lab news agent-based-model school(JohnsHopkins) simulation

Agent-based computational models can capture irrational behaviour, complex social networks and global scale — all essential in confronting H1N1, says Joshua M. Epstein.

agent-based-model epidemic pandemic health medicine model

In the late sixties the Canadian psychologist Laurence J. Peter advanced the apparently paradoxical principle, named since then after him, which can be summarized as follows: "Every new member in a hierarchical organization climbs the hierarchy until he/she reaches his/her level of maximum incompetence". Despite its apparent unreasonableness, such a principle would realistically act in any organization where the way of promotion rewards the best members and where the competence at their new level in the hierarchical structure does not depend on the competence they had at the previous level, usually because the tasks of the levels are very different between each other. Here we show, by means of agent based simulations, that if the latter two features actually hold in a given model of an organization with a hierarchical structure, then not only the "Peter principle" is unavoidable, but it yields in turn a significant reduction of the global efficiency of the organization. Within a game theory-like approach, we explore different promotion strategies and we find, counter intuitively, that in order to avoid such an effect the best ways for improving the efficiency of a given organization are either to promote each time an agent at random or to promote randomly the best and the worst members in terms of competence.

agent-based-model peter-principle business promotion behavior management success skills computer model social

We present a dynamical model that describes the evolution of offer and demand in a financial market. The model considers a fully connected network of interacting agents that may be willing to operate in the market, either by selling the stock or by buying it, or that are not interested in operating at that moment. The agents change their mind through self- or mutual influence, and the decision is adopted on a random basis, like in a predator-prey model.

financial-engineering market-failure agent-based-model predator-or-prey arxiv

simulation science agent-based-model complexity