Archivio per 10 gennaio 2015

10
Gen
15

Multi-agent Simulation for Modeling Urban Sprawl In the Greater Toronto Area

See on Scoop.itBounded Rationality and Beyond

Abstract: The use of Multi-agent Systems/Simulations (MAS) can help to represent humanenvironment interactions in dealing with complex land-use problems by examining how different entities influence the process of land development. In this paper, we simulate the urban growth of the Greater Toronto Area (GTA) from 1985 to 2005 using MAS. After analyzing the driving force in this area, three different types of agents are defined: residents, developers and government, in terms of their diverse characteristics in real society. Considering different even opposite demands of residents in residential development, we divide residents into two parts: new residents and existing residents. In the beginning of running this expansion model, we allocate the agents with a spatio-temporal criterion to obtain a better simulation. The preliminary result shows that multi-agent model has some advantages in simulating urban sprawl phenomenon.

See on agile-online.org

10
Gen
15

How can extremism prevail?

See on Scoop.itBounded Rationality and Beyond

Abstract

Abstract: We model opinion dynamics in populations of agents with continuous opinion and uncertainty. The opinions and uncertainties are modified by random pair interactions. We propose a new model of interactions, called relative agreement model, which is a variant of the previously discussed bounded confidence. In this model, uncertainty as well as opinion can be modified by interactions. We introduce extremist agents by attributing a much lower uncertainty (and thus higher persuasion) to a small proportion of agents at the extremes of the opinion distribution. We study the evolution of the opinion distribution submitted to the relative agreement model. Depending upon the choice of parameters, the extremists can have a very local influence or attract the whole population. We propose a qualitative analysis of the convergence process based on a local field notion. The genericity of the observed results is tested on several variants of the bounded confidence model. 
See on jasss.soc.surrey.ac.uk

10
Gen
15

Opinion dynamics and bounded confidence: models, analysis and simulation

See on Scoop.itBounded Rationality and Beyond

Abstract

When does opinion formation within an interacting group lead to consensus, polarization or fragmentation? The article investigates various models for the dynamics of continuous opinions by analytical methods as well as by computer simulations. Section 2 develops within a unified framework the classical model of consensus formation, the variant of this model due to Friedkin and Johnsen, a time-dependent version and a nonlinear version with bounded confidence of the agents. Section 3 presents for all these models major analytical results. Section 4 gives an extensive exploration of the nonlinear model with bounded confidence by a series of computer simulations. An appendix supplies needed mathematical definitions, tools, and theorems.

See on jasss.soc.surrey.ac.uk

10
Gen
15

Agent-based modeling of social conflict, civil violence and revolution: state-of-the-art-review and further prospects

See on Scoop.itBounded Rationality and Beyond

Abstract. In this paper, we present a state-of-the-art review of Agent-based models (ABM) for simulation of social conflict phenomena, such as peaceful or violent street protests, civil violence and revolution. First, a simplified haracterization of social conflict phenomena as emergent properties of a complex system is presented, together with a description of their macro and micro levels and the scales of the emergent properties. Then, existing ABM for simulation of crowd dynamics, civil violence and revolution are analyzed and compared, using a framework that considers their purpose/scope, environment representation, agent types and their architecture, the scales of the emergent properties, the qualitative and quantitative understanding of the phenomena provided by the results obtained from the models. We discuss the strengths and limitations of the existing models, as well as the promising lines of research for filling the gaps between the state-of-the-art models and real phenomena. This review is part of a work in progress on the assembling and dynamics of protests and civil violence, involving both simulation of the assembling process and the protest dynamics, as well as data collection in real protest events, and provides hints and guidelines for future developments.

See on ceur-ws.org




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