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Swarm (simulation)
Swarm is the name of an open-source agent-based modeling simulation package, useful for simulating the interaction of agents (social or biological) and their emergent collective behaviour. Swarm was initially developed at the Santa Fe Institute in the mid-1990s, and since 1999 has been maintained by the non-profit Swarm Development Group. Also known as the Swarm Simulation System, it is available for free and use, covered by the GNU General Public License. Early development work on Swarm was completed by Chris Langton (SFI), Roger Burkhart (John Deere), Nelson Minar (SFI), Manor Askenazi (SFI), Glen Ropella (SFI), Marcus Daniels (SFI), and Alex Lancaster (SFI). Since that time, many hundreds of people around the world have contributed to the continued open source development of the suite of Swarm ABM tools. Applications Scientific applications Agent-based modeling seeks to replicate these complexities and adaptations in computational environments where these interactive em ...
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Swarm Development Group
The Swarm Development Group (SDG) is an American non-profit organization to advance the development of complex adaptive system-oriented agent-based modeling (ABM) tools initiated at the Santa Fe Institute (SFI) in Santa Fe, New Mexico, US. History Swarm Development Group was formed in 1999 by a group of multidisciplinary scientists, researchers, and software developers, led by Chris Langton. Langton was also the founder of the emerging field of research called artificial life. The initial, primary, role for the SDG was to house continued development of the Swarm simulation software after the software become independent of the SFI in 1999. The role of the Swarm Development Group has expanded to include the co-ordination of a long-running conference SwarmFest during May, June, or July each summer – typically hosted by a different research university each year. Developers, users, and researchers gather to present research papers and discuss the state of Swarm and other agent-bas ...
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Logistics
Logistics is generally the detailed organization and implementation of a complex operation. In a general business sense, logistics manages the flow of goods between the point of origin and the point of consumption to meet the requirements of customers or corporations. The resources managed in logistics may include tangible goods such as materials, equipment, and supplies, as well as food and other consumable items. In military science, logistics is concerned with maintaining army supply lines while disrupting those of the enemy, since an armed force without resources and transportation is defenseless. Military logistics was already practiced in the ancient world and as the modern military has a significant need for logistics solutions, advanced implementations have been developed. In military logistics, logistics officers manage how and when to move resources to the places they are needed. Logistics management is the part of supply chain management and supply chain engine ...
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Agent-based Software
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 ...
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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 ...
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NetLogo
NetLogo is a programming language and integrated development environment (IDE) for agent-based modeling. About NetLogo was designed by Uri Wilensky, in the spirit of the programming language Logo, to be "low threshold and no ceiling". It teaches programming concepts using agents in the form of ''turtles'', ''patches'', ''links'' and the ''observer''. NetLogo was designed with multiple audiences in mind, in particular: teaching children in the education community, and for domain experts without a programming background to model related phenomena. Many scientific articles have been published using NetLogo. The NetLogo environment enables exploration of emergent phenomena. It comes with an extensive models library including models in a variety of domains, such as economics, biology, physics, chemistry, psychology, system dynamics. NetLogo allows exploration by modifying switches, sliders, choosers, inputs, and other interface elements. Beyond exploring, NetLogo allows authori ...
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Repast (Modelling Toolkit)
The Recursive Porous Agent Simulation Toolkit (Repast) is a widely used free and open-source, cross-platform, agent-based modeling and simulation toolkit. Repast has multiple implementations in several languages and built-in adaptive features, such as genetic algorithms and regression. Repast was originally developed by David Sallach, Nick Collier, Tom Howe, Michael North and others at the University of Chicago. Features * variety of agents and examples * fully object oriented * fully concurrent discrete event scheduler * built-in simulation results logging and graphing tools * allows users to dynamically access and modify agents and model at run time * libraries for genetic algorithms, neural networks, etc. * built-in systems dynamics modeling * social network modeling tools * integrated geographical information systems (GIS) support * implemented in Java, C#, etc. * supports Java, C#, Managed C++, Visual Basic.Net, Managed Lisp, Managed Prolog, and Python scripting, etc. ...
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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 com ...
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Investment Management
Investment management is the professional asset management of various securities, including shareholdings, bonds, and other assets, such as real estate, to meet specified investment goals for the benefit of investors. Investors may be institutions, such as insurance companies, pension funds, corporations, charities, educational establishments, or private investors, either directly via investment contracts or, more commonly, via collective investment schemes like mutual funds, exchange-traded funds, or REITs. The term asset management is often used to refer to the management of investment funds, while the more generic term fund management may refer to all forms of institutional investment, as well as investment management for private investors. Investment managers who specialize in ''advisory'' or ''discretionary'' management on behalf of (normally wealthy) private investors may often refer to their services as money management or portfolio management within the context o ...
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Traffic Management
Traffic management is a key branch within logistics. It concerns the planning control and purchasing of transport services needed to physically move vehicles (for example aircraft, road vehicles, rolling stock and watercraft) and freight. Traffic management is implemented by people working with different job titles in different branches: * Within freight and cargo logistics: traffic manager, assessment of hazardous and awkward materials, carrier choice and fees, demurrage, documentation, expediting, freight consolidation, insurance, reconsignment and tracking * Within air traffic management: air traffic controller * Within rail traffic management: rail traffic controller, train dispatcher or signalman * Within road traffic management: traffic controller Traffic Control Management is the design, auditing and implementation of traffic control plans at worksites and civil infrastructure projects. Traffic Management can include: flagging, lane closures, detours, full freeway clo ...
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Workforce Management
Workforce management (WFM) is an institutional process that maximizes performance levels and competency for an organization. The process includes all the activities needed to maintain a productive workforce, such as field service management, human resource management, performance and training management, data collection, recruiting, budgeting, forecasting, scheduling and analytics. Workforce management provides a common set of performance-based tools and software to support corporate management, front-line supervisors, store managers and workers across manufacturing, distribution, transportation, and retail operations. It is sometimes referred to as HRM systems, or Workforce asset management, or part of ERP systems. Definition As workforce management has developed from a traditional approach of staff scheduling to improve time management, it has become more integrated and demand-oriented to optimize the scheduling of staff. Besides the two core aspects of demand-orientation a ...
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Distributed Computing
A distributed system is a system whose components are located on different networked computers, which communicate and coordinate their actions by passing messages to one another from any system. Distributed computing is a field of computer science that studies distributed systems. The components of a distributed system interact with one another in order to achieve a common goal. Three significant challenges of distributed systems are: maintaining concurrency of components, overcoming the lack of a global clock, and managing the independent failure of components. When a component of one system fails, the entire system does not fail. Examples of distributed systems vary from SOA-based systems to massively multiplayer online games to peer-to-peer applications. A computer program that runs within a distributed system is called a distributed program, and ''distributed programming'' is the process of writing such programs. There are many different types of implementations for ...
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Social Network
A social network is a social structure made up of a set of social actors (such as individuals or organizations), sets of dyadic ties, and other social interactions between actors. The social network perspective provides a set of methods for analyzing the structure of whole social entities as well as a variety of theories explaining the patterns observed in these structures. The study of these structures uses social network analysis to identify local and global patterns, locate influential entities, and examine network dynamics. Social networks and the analysis of them is an inherently interdisciplinary academic field which emerged from social psychology, sociology, statistics, and graph theory. Georg Simmel authored early structural theories in sociology emphasizing the dynamics of triads and "web of group affiliations". Jacob Moreno is credited with developing the first sociograms in the 1930s to study interpersonal relationships. These approaches were mathematically fo ...
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