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Sugarscape
Sugarscape is a model for artificially intelligent agent-based social simulation following some or all rules presented by Joshua M. Epstein & Robert Axtell in their book ''Growing Artificial Societies''. Origin Fundaments of Sugarscape models can be traced back to the University of Maryland where economist Thomas Schelling presented his paper titled '' Models of Segregation''. Written in 1969, Schelling and the rest of the social environment modelling fraternity had their options limited by a lack of adequate computing power and an applicable programming mechanism to fully develop the potential of their model. John Conway's agent-based simulation " Game of Life" was enhanced and applied to Schelling's original idea by Joshua M. Epstein and Robert Axtell in their book ''Growing Artificial Societies''. To demonstrate their findings on the field of agent-based simulation, a model was created and distributed with their book on CD-ROM. The concept of this model has come to be known as ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Agent-based Social Simulation
Agent-based social simulation (or ABSS) consists of social simulations that are based on agent-based modeling, and implemented using artificial agent technologies. Agent-based social simulation is a scientific discipline concerned with simulation of social phenomena, using computer-based multiagent models. In these simulations, persons or group of persons are represented by agents. MABSS is a combination of social science, multiagent simulation and computer simulation. ABSS models the different elements of the social systems using artificial agents, (varying on scale) and placing them in a computer simulated society to observe the behaviors of the agents. From this data it is possible to learn about the reactions of the artificial agents and translate them into the results of non-artificial agents and simulations. Three main fields in ABSS are agent-based computing, social science, and computer simulation. Agent-based computing is the design of the model and agents, while the c ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Social Simulation
Social simulation is a research field that applies computational methods to study issues in the social sciences. The issues explored include problems in computational law, psychology, organizational behavior, sociology, political science, economics, anthropology, geography, engineering, archaeology and linguistics . Social simulation aims to cross the gap between the descriptive approach used in the social sciences and the formal approach used in the natural sciences, by moving the focus on the processes/mechanisms/behaviors that build the social reality. In social simulation, computers support human reasoning activities by executing these mechanisms. This field explores the simulation of societies as complex non-linear systems, which are difficult to study with classical mathematical equation-based models. Robert Axelrod regards social simulation as a third way of doing science, differing from both the deductive and inductive approach; generating data that can be analysed indu ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Agent-based Model
An agent-based model (ABM) is a computational model for simulating the actions and interactions of autonomous agents (both individual or collective entities such as organizations or groups) in order to understand the behavior of a system and what governs its outcomes. It combines elements of game theory, complex systems, emergence, computational sociology, multi-agent systems, and evolutionary programming. Monte Carlo methods are used to understand the stochasticity of these models. Particularly within ecology, ABMs are also called individual-based models (IBMs). A review of recent literature on individual-based models, agent-based models, and multiagent systems shows that ABMs are used in many scientific domains including biology, ecology and social science. Agent-based modeling is related to, but distinct from, the concept of multi-agent systems or multi-agent simulation in that the goal of ABM is to search for explanatory insight into the collective behavior of agents obeying ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Robert Axtell
Robert Axtell is a professor at George Mason University, Krasnow Institute for Advanced Study, where he is departmental chair of the Department of Computational Social Science. He is also a member of the External Faculty of the Santa Fe Institute. Axtell is also the co-Director of the new Computational Public Policy Lab at Mason. Early life and education Axtell received his first degree at the University of Detroit in 1983 and earned his Ph.D. in Carnegie Mellon University in 1992, where he studied computing, social science, and public policy. Career In the early 1990s, whilst still a graduate student, he met Joshua M. Epstein who was to become a key collaborator. This led to Axtell joining Epstein at the Brookings Institution in 1992. The pair developed a keen interest in mathematical modeling influenced by the work of Thomas Schelling, with their primary research interest the modeling of complex social, economic, and biological systems using computational agent based model ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Agent-based Model
An agent-based model (ABM) is a computational model for simulating the actions and interactions of autonomous agents (both individual or collective entities such as organizations or groups) in order to understand the behavior of a system and what governs its outcomes. It combines elements of game theory, complex systems, emergence, computational sociology, multi-agent systems, and evolutionary programming. Monte Carlo methods are used to understand the stochasticity of these models. Particularly within ecology, ABMs are also called individual-based models (IBMs). A review of recent literature on individual-based models, agent-based models, and multiagent systems shows that ABMs are used in many scientific domains including biology, ecology and social science. Agent-based modeling is related to, but distinct from, the concept of multi-agent systems or multi-agent simulation in that the goal of ABM is to search for explanatory insight into the collective behavior of agents obeying ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Mason (Java) MASON is a Agent-based model, multi-agent simulation environment developed in Java (programming language), Java. Development MASON is developed at George Mason University's Evolutionary Computation Laboratory in conjunction with the GMU Center for Social Complexity. First released in 2003, the environment continues to be maintained and kept up to date. The name, as well as referring to the parent institution, derives from the Acronym and initialism, acronym Multi-Agent Simulator Of Neighborhoods (or Networks). MASON development started within the Java.net environment, then moved to Google Code and is now at GitHub. Whilst MASON is less extensive than other similar libraries it is designed with simplicity and execution speed as a priority. Applets Applets developed using MASON include Craig Reynolds (computer graphics), Craig Reynolds' Boids algorithm, ''Balls and Bands'', a simulation of Hooke's law, Hooke's Law, an L-system generator, Conway's Game of Life, Sugarscape and au ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] |
