Multi-agent Network Management Software
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Multi-agent Network Management Software
A multi-agent system (MAS or "self-organized system") is a computerized system composed of multiple interacting intelligent agents.H. Pan; M. Zahmatkesh; F. Rekabi-Bana; F. Arvin; J. HuT-STAR: Time-Optimal Swarm Trajectory Planning for Quadrotor Unmanned Aerial Vehicles IEEE Transactions on Intelligent Transportation Systems, 2025. Multi-agent systems can solve problems that are difficult or impossible for an individual agent or a monolithic system to solve.Hu, J.; Turgut, A.; Lennox, B.; Arvin, F.,Robust Formation Coordination of Robot Swarms with Nonlinear Dynamics and Unknown Disturbances: Design and Experiments IEEE Transactions on Circuits and Systems II: Express Briefs, 2021. Intelligence may include methodic, functional, procedural approaches, algorithmic search or reinforcement learning. With advancements in large language models (LLMs), LLM-based multi-agent systems have emerged as a new area of research, enabling more sophisticated interactions and coordination amon ...
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Self-organisation
Self-organization, also called spontaneous order in the social sciences, is a process where some form of overall order and disorder, order arises from local interactions between parts of an initially disordered system. The process can be spontaneous when sufficient energy is available, not needing control by any external agent. It is often triggered by seemingly random Statistical fluctuations, fluctuations, amplified by positive feedback. The resulting organization is wholly decentralized, :wikt:distribute, distributed over all the components of the system. As such, the organization is typically Robustness, robust and able to survive or self-healing material, self-repair substantial perturbation theory, perturbation. Chaos theory discusses self-organization in terms of islands of predictability in a sea of chaotic unpredictability. Self-organization occurs in many physics, physical, chemistry, chemical, biology, biological, robotics, robotic, and cognitive systems. Examples of ...
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Foundation For Intelligent Physical Agents
The Foundation for Intelligent Physical Agents (FIPA) is a body for developing and setting computer software standards for heterogeneous and interacting Software agent, agents and agent-based systems. FIPA was founded as a Swiss not-for-profit organization in 1996 with the ambitious goal of defining a full set of standards for both implementing systems within which agents could execute (agent platforms) and specifying how agents themselves should communicate and interoperate in a standard way. Within its lifetime the organization's membership included several academic institutions and a large number of companies including Hewlett-Packard, IBM, British Telecom, BT (formerly British Telecom), Sun Microsystems, Fujitsu and many more. A number of standards were proposed, however, despite several agent platforms adopting the "FIPA standard" for agent communication it never succeeded in gaining the commercial support which was originally envisaged. The Swiss organization was dissolve ...
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Agent Mining
Agent mining is a research field that combines two areas of computer science: multiagent systems and data mining Data mining is the process of extracting and finding patterns in massive data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and .... It explores how intelligent computer agents can work together to discover, analyze, and learn from large amounts of data more effectively than traditional methods. Historical context The interaction and the integration between multiagent systems and data mining have a long history. The very early work on agent mining focused on agent-based knowledge discovery, agent-based distributed data mining, and agent-based distributed machine learning, and using data mining to enhance agent intelligence. The International Workshop on Agents and Data Mining Interaction has been held for more than 10 times, co-located with the Int ...
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Multi-agent Learning
A multi-agent system (MAS or "self-organized system") is a computerized system composed of multiple interacting intelligent agents.H. Pan; M. Zahmatkesh; F. Rekabi-Bana; F. Arvin; J. HuT-STAR: Time-Optimal Swarm Trajectory Planning for Quadrotor Unmanned Aerial Vehicles IEEE Transactions on Intelligent Transportation Systems, 2025. Multi-agent systems can solve problems that are difficult or impossible for an individual agent or a monolithic system to solve.Hu, J.; Turgut, A.; Lennox, B.; Arvin, F.,Robust Formation Coordination of Robot Swarms with Nonlinear Dynamics and Unknown Disturbances: Design and Experiments IEEE Transactions on Circuits and Systems II: Express Briefs, 2021. Intelligence may include Scientific method, methodic, Function (computer science), functional, Algorithm, procedural approaches, algorithmic search algorithm, search or reinforcement learning. With advancements in large language models (LLMs), LLM-based multi-agent systems have emerged as a new area of ...
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Cooperative Distributed Problem Solving
In computing cooperative distributed problem solving is a network of semi-autonomous processing nodes working together to solve a problem, typically in a multi-agent system. That is concerned with the investigation of problem subdivision, sub-problem distribution, results synthesis, optimisation of problem solver coherence and co-ordination. It is closely related to distributed constraint programming Constraint programming (CP) is a paradigm for solving combinatorial problems that draws on a wide range of techniques from artificial intelligence, computer science, and operations research. In constraint programming, users declaratively state t ... and distributed constraint optimization; see the links below. Aspects of CDPS * Neither global control or global data storage – no individual CDPS problem solver (agent) has sufficient information to solve the entire problem. * Control and data are distributed * Communication is slower than computation, therefore: ** Loose coupling ...
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Distributed Constraint Optimization
Distributed constraint optimization (DCOP or DisCOP) is the distributed analogue to constraint optimization. A DCOP is a problem in which a group of agents must distributedly choose values for a set of variables such that the cost of a set of constraints over the variables is minimized. Distributed Constraint Satisfaction is a framework for describing a problem in terms of constraints that are known and enforced by distinct participants (agents). The constraints are described on some variables with predefined domains, and have to be assigned to the same values by the different agents. Problems defined with this framework can be solved by any of the algorithms that are designed for it. The framework was used under different names in the 1980s. The first known usage with the current name is in 1990. Definitions DCOP The main ingredients of a DCOP problem are ''agents'' and ''variables''. Importantly, each variable is owned by an agent; this is what makes the problem distributed. ...
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Consensus Dynamics
Consensus dynamics, also known as agreement dynamics, is an area of research at the intersection of systems theory and graph theory. It studies how a group of agents—such as robots, sensors, or decision-makers—interacting over a network can reach a common decision or estimate through local rules and information exchange. This is known as the consensus problem in multi-agent systems, where the goal is to ensure that all agents eventually agree on a certain quantity, despite starting with potentially different initial values. Consensus dynamics has applications in areas such as physiological systems, gene regulatory networks, large-scale energy systems, and coordinated control of autonomous vehicle fleets on land, in the air, or in space. The behavior of these systems is typically modeled using an unforced dynamical system governed by the network's interconnection topology and the agents' initial conditions. The consensus protocol, or agreement protocol, defines the rules of int ...
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BDI Software Agent
BDI may refer to: Science and technology * Beck Depression Inventory, a psychometric test for measuring the severity of depression * Belief–desire–intention model, a cognitive model developed by Michael Bratman ** Belief–desire–intention software model, a methodology and framework for programming rational and intelligent agents * bdi (''bi-directional isolation''), an HTML element that isolates an online section of text * Big Data Institute, at the University of Oxford Other uses * Baltic Dry Index, an economic indicator * Bradford Interchange, West Yorkshire, England (National Rail station code) * Brand development index, a measure used in the allocation of media, and promotion for a specific product or service * Bundesverband der Deutschen Industrie, Federation of German Industries * Burundi Burundi, officially the Republic of Burundi, is a landlocked country in East Africa. It is located in the Great Rift Valley at the junction between the African Great La ...
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University Of Massachusetts Amherst
The University of Massachusetts Amherst (UMass Amherst) is a public land-grant research university in Amherst, Massachusetts, United States. It is the flagship campus of the University of Massachusetts system and was founded in 1863 as the Massachusetts Agricultural College. It is also a member of the Five College Consortium, along with four other colleges in the Pioneer Valley. UMass Amherst has the largest undergraduate population in Massachusetts with roughly 24,000 enrolled undergraduates. The university offers academic degrees in 109 undergraduate, 77 master's, and 48 doctoral programs in nine schools and colleges. It is classified among "R1: Doctoral Universities – Very high research activity". According to the National Science Foundation, the university spent $211 million on research and development in 2018. The university's 21 varsity athletic teams compete in NCAA Division I and are collectively known as the Minutemen and Minutewomen. The university is a memb ...
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Artificial Intelligence
Artificial intelligence (AI) is the capability of computer, computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. It is a field of research in computer science that develops and studies methods and software that enable machines to machine perception, perceive their environment and use machine learning, learning and intelligence to take actions that maximize their chances of achieving defined goals. High-profile applications of AI include advanced web search engines (e.g., Google Search); recommendation systems (used by YouTube, Amazon (company), Amazon, and Netflix); virtual assistants (e.g., Google Assistant, Siri, and Amazon Alexa, Alexa); autonomous vehicles (e.g., Waymo); Generative artificial intelligence, generative and Computational creativity, creative tools (e.g., ChatGPT and AI art); and Superintelligence, superhuman play and analysis in strategy games (e.g., ...
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Pheromone
A pheromone () is a secreted or excreted chemical factor that triggers a social response in members of the same species. Pheromones are chemicals capable of acting like hormones outside the body of the secreting individual, to affect the behavior of the receiving individuals. There are ''alarm signal, alarm pheromones'', ''food trail pheromones'', ''sex pheromones'', and many others that affect behavior or physiology. Pheromones are used by many organisms, from basic unicellular prokaryotes to complex multicellular eukaryotes. Their use among insects has been particularly well documented. In addition, some vertebrates, plants and ciliates communicate by using pheromones. The ecological functions and evolution of pheromones are a major topic of research in the field of chemical ecology. Background The portmanteau word "pheromone" was coined by Peter Karlson and Martin Lüscher in 1959, based on the Greek language, Greek () and (). Pheromones are also sometimes classified as ec ...
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