Relevant bibliographies by topics / Multi-agent system analysis

Academic literature on the topic 'Multi-agent system analysis'

Author: Grafiati
Published: 7 July 2024
Last updated: 7 July 2024

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Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Journal articles on the topic "Multi-agent system analysis":

1

Simankov, V. S., and Yu V. Dubenko. "SYSTEM ANALYSIS IN HIERARCHICAL INTELLIGENT MULTI-AGENT SYSTEMS." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 201 (March 2021): 33–46. http://dx.doi.org/10.14489/vkit.2021.03.pp.033-046.

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The system analysis of the hierarchical intelligent multi-agent system in general, as well as its main structural unit, the intelligent agent, its major subsystems identified. As part of the analysis of the computer vision subsystem, it was concluded that the considered sources have insufficiently worked out issues related to the processing of occlusions, with the automation of the process of reconstruction of three-dimensional scenes, with the implementation of the processing of an unstructured set of images. The structure of the block for the reconstruction of three-dimensional scenes is proposed, the implementation of which is aimed at eliminating the indicated problems characteristic of the machine vision subsystem. The analysis of the main methods of implementing unsupervised learning is carried out, based on the results of which it is concluded that it is advisable to use reinforcement learning when implementing systems of this type. Such types of reinforcement learning as hierarchical reinforcement learning and multi-agent reinforcement learning are considered. A method for segmentation of macro actions is proposed, based on the implementation of clustering by the method of label propagation, in which the number of transitions is formalized in the form of weight coefficients of edges.
2

Yu, Miao, and Zhi Cai. "The Dynamics Analysis of the Robot Polishing System by the Multi-Agent System." Key Engineering Materials 419-420 (October 2009): 601–4. http://dx.doi.org/10.4028/www.scientific.net/kem.419-420.601.

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In order to solve the confliction among the working space, precision and stiffness on the free-form surface, this paper puts forward a Multi-Agent alliance control model that is made up of the series robot Agent, the parallel moving platform Agent and the polishing tool system Agent and so on by organically introducing the MAS (Multi-Agent System) theory into the polishing. Through the introduction of virtual point-curve constraint, the dynamics of the constraint multi-body equation for the polishing system is established in order to accurately program the moving track of the robots. Meanwhile, the control parameters and the optimal path during the polishing can be optimized.
3

Botchkaryov, Alexey. "Coscheduling Spatial Self-organization and Distributed Data Collection in Multi-agent System." Advances in Cyber-Physical Systems 7, no. 2 (December 16, 2022): 76–82. http://dx.doi.org/10.23939/acps2022.02.076.

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The problem of coscheduling spatial self-organization control processes and distributed data collection processes in a multi-agent system has been considered. The goal of coscheduling is to find and use the possibilities of functional coordination of these processes and increase the efficiency of the multi-agent system due to their parallel execution. An analysis of the main features of spatial self-organization tasks that affect the solution of the problem of coscheduling has been carried out. Variants of the mobile agent robotic platform configuration and the problem of the dependence of spatial self-organization algorithms on the type of robotic platform have been considered. A method of coscheduling of spatial self-organization and distributed data collection by coordinated parallel execution of the corresponding data collection process and the process of controlling mobile agent motion has been proposed. The method of coscheduling is implemented using the interaction protocol of these processes and the algorithm for planning their parallel execution using functional decomposition. The simulation results of the proposed method of coscheduling are given. It is proved that the proposed method of coscheduling provides acceleration of computations in the decision-making module of the mobile agent due to more efficient parallelization. On average, for typical values of parameters of control processes, the proposed method of coscheduling provides acceleration of computations in the decision-making module of the mobile agent by 40.6 %.
4

Pavlenko, Viacheslav, Volodymyr Manuylov, and Volodymyr Kuzhel. "Сase-systems for development of multiagent system (MAS) in the system of diagnostics and maintenance of vehicles." Journal of Mechanical Engineering and Transport 13, no. 1 (2021): 87–93. http://dx.doi.org/10.31649/2413-4503-2021-13-1-87-93.

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The article provides a comparative analysis of existing software products and libraries that allow the design of multi-agent systems for diagnostics and maintenance systems for modern cars. The authors substantiate two main shortcomings inherent in all products - analogues: the need for high qualification of the user as a software code developer, and low performance of intelligent methods in the structure of agents, which worsens their performance. Both manufacturers and car owners are objectively interested in the widespread use of telematics systems for monitoring the technical condition of cars. Predictive diagnostics gives them access to a huge amount of information about all the nuances of car operation, wherever they are, during the entire service life. The application of this approach using a multi-agent system (MAS) will allow taking the next step in this direction. Information from the connected vehicles goes to the main server. Systematization and analysis of data make it possible to establish the causes of malfunctions, identify patterns of their occurrence and make further predictions. Purpose of the work: to perform a comparative analysis of existing software products and libraries that allow the design of multi-agent systems. The topic of the work is disclosed on the example of the analysis of software tools for the development and design of MAS at the present stage. There are a number of systems and libraries on the market designed for the development of multi-agent systems. These Case - systems are suitable for the development of multi-agent systems of any direction, that is, they are universal from this point of view. Therefore, for us it is a universal application tool for the automotive industry. Ultimately, the work performed a comparative analysis of existing software products and libraries that allow the design of multi-agent systems. The analysis revealed two main drawbacks inherent in all products - analogs: the need for high user qualifications as a developer of software code, and low indicators of the possibilities of introducing intelligent methods into the structure of agents, worsens the indicators of their work.
5

Chatterjee, Rajib Kumar, Neha Neha, and Anirban Sarkar. "Behavioral Modeling of Multi Agent System." International Journal of Agent Technologies and Systems 7, no. 1 (January 2015): 55–78. http://dx.doi.org/10.4018/ijats.2015010104.

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Modeling interactions between agents and the Multi-Agent System (MAS) behavior based on role based collaboration among the participating agents are the key factors to design of effective MAS dynamics. In this paper, a High level Multi Agent Petri Net called HMAP has been proposed which is capable of describing, analyzing and modeling dynamics of such MAS which are characterized as asynchronous, distributed, parallel and non-deterministic agent based systems. Proposed HMAP is also effective towards modeling roles, collaborations and interactions among the heterogeneous agents in MAS environment. Moreover the HMAP is useful in formal analysis of several behavioral properties of MAS like, Reachability, Home properties, Boundedness, Liveness and Fairness. The proposed mechanism has been illustrated using a suitable case study of Medical Emergency System. Moreover, to further validate the proposed concepts of HMAP, it has been simulated using Color Petri Net based tool called CPN Tool, with some restriction.
6

Chatterjee, Rajib Kumar, Mangilal Sharma, and Anirban Sarkar. "Modeling of Multi Agent System: From Analysis to Design." International Journal of Software Engineering and Its Applications 10, no. 12 (December 31, 2016): 149–68. http://dx.doi.org/10.14257/ijseia.2016.10.12.13.

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Ma, Lizhu, and Xin Zhang. "Hierarchical Social Network Analysis Using a Multi-Agent System." International Journal of Agent Technologies and Systems 5, no. 3 (July 2013): 14–32. http://dx.doi.org/10.4018/ijats.2013070102.

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The quality of K-12 education has been a major concern in the nation for years. School systems, just like many other social networks, appear to have a hierarchical structure. Understanding this structure could be the key to better evaluating student performance and improving school quality. Many studies have been focusing on detecting hierarchical structure by using hierarchical clustering algorithms. The authors design an interaction-based similarity measure to accomplish hierarchical clustering in order to detect hierarchical structures in social networks (e.g. school district networks). This method uses a multi-agent system, for it is based on agent interactions. With the network structure detected, they also built a model, which is based on the MAXQ algorithm, to decompose the funding policy task into subtasks and then evaluate these subtasks by using funding distribution policies from past years and looking for possible relationships between student performances and funding policies. For the experiment, the authors used real school data from Bexar county’s 15 school districts in Texas. The first result shows that their interaction-based method is able to generate meaningful clustering and dendrograms for social networks. Additionally the authors’ policy evaluation model is able to evaluate funding policies from the past three years in Bexar County and conclude that increasing funding does not necessarily have a positive impact on student performance and it is generally not the case that the more is spent, the better.
8

M.Ibrahim, Najhan, Mohd Fadzil Hassan, and Muhammad Amrullah DRS Nasrul. "Multi-Agent System in Web Services." International Journal on Perceptive and Cognitive Computing 10, no. 1 (January 28, 2024): 40–50. http://dx.doi.org/10.31436/ijpcc.v10i1.429.

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The term "service-oriented architecture" (SOA) refers to a software paradigm for creating systems made up of a variety of services that interact with one another to accomplish a certain task. The communications involve more than just transmitting data back and forth; they also connect two or more services to coordinate the required operations. Cross-platform communication is necessary for the coordinating process when services are spread across several platforms. Several web service standards and specifications are used in the present SOA implementation. Based on the prototype's implementation and simulation, this proposed research study has been validated and evaluated. The suggested cross-platform communications architecture is implemented using NetBeans, JADE, WSIG, and OWL-S. An integrated development environment for Java is offered by Oracle in the form of NetBeans. Telecom Italia's Java Agent DEvelopment Framework (JADE) is an agent software framework that is entirely built in the Java language. Web Service Integration Gateway (WSIG), which helps to facilitate JADE agent services being called by Web service clients. The core fundamental engine of the suggested framework is OWL-S. It is a web ontology language used to describe Semantic Web Services in the Semantic Web's OWL-based framework. A quantitative approach is used in this study's performance analysis and comparative investigation for evaluation and validation. The prototype's major element is the Java agent development framework (JADE), which was used to create a multi-agent system for the agent-based MOM framework that has been presented. The creation of the multi-agent systems was facilitated by the JADE platform. JADE 3.7 was the version that was employed. Two key features of JADE are a FIPA-compliant agent platform and a package for creating Java agents. The implementation results show that the proposed agent-based MOM framework was successful communicate between multiple types of SOA application with a better performance of the average of round-trip time where the proposed framework was successful in responding to all the requests.
9

Lavendelis, Egons, and Janis Grundspenkis. "Requirements analysis of Multi-Agent Based Intelligent Tutoring Systems." Scientific Journal of Riga Technical University. Computer Sciences 38, no. 38 (January 1, 2009): 37–47. http://dx.doi.org/10.2478/v10143-009-0003-0.

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Requirements analysis of Multi-Agent Based Intelligent Tutoring SystemsThe agent oriented software engineering research proposes general assumptions for agent oriented software development, while intelligent tutoring system (ITS) research proposes specific ITS architecture and other specific knowledge for ITS development. Both of these views should be taken into consideration while developing multi-agent based ITSs. Thus there is a need for specific approaches for all phases of agent based ITS development which take into consideration main ideas from both agent oriented software engineering and ITS research. In this paper we propose a requirements analysis approach for multi-agent based ITSs. A case study of a simple ITS is included, too. Requirements analysis in the proposed approach consist of two main steps, namely goal modelling and use case modelling. During the goal modelling the main goals of the system are identified and a goal hierarchy for the system is created. During the use case modelling use cases needed to achieve each lower level goal and their descriptions are created. The proposed approach of the requirements analysis is intended to be a part of the full life cycle methodology for multi-agent based ITS development. The developed use case model (especially use case scenarios) is used during the agent interaction design and task definition. Goal hierarchy during the design phase is mainly used for checking, if the results of design achieve all system's goals.
10

Yi-Jen Su, Yi-Jen Su, and Sheng-Yuan Yang Yi-Jen Su. "A User-friendly Cloud-based Multi-agent Information System for Smart Energy-saving." 網際網路技術學刊 25, no. 2 (March 2024): 293–300. http://dx.doi.org/10.53106/160792642024032502011.

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<p>The study focused on leveraging artificial intelligence (AI) for efficient energy conservation in scientific applications. The proposed cloud-based multi-agent system merges various intelligent technologies to swiftly gather high-quality cloud data for effective smart energy-saving. Incorporating case-based reasoning (CBR), big data analysis, and intelligent user interfaces as key functionalities, the system utilized Web services, ontology, open data, and data mining. It expanded on the practical advancements of the multi-agent Dr. What-Info system for information collection. A Web services platform seamlessly gathers cloud interactions among subagents processing energy-saving data. Rigorous performance and operational experiments were conducted to demonstrate the efficiency and effectiveness of the system interface, offering detailed insights into relevant R&D technologies and outcomes.</p> <p>&nbsp;</p>
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Journal articles Dissertations / Theses Books

Dissertations / Theses on the topic "Multi-agent system analysis":

1

Hossack, John A. "A multi-agent system for automated post-fault disturbance analysis." Thesis, University of Strathclyde, 2005. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=21606.

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Within today's privatised electricity industry, post-fault disturbance analysis is becoming an increasingly challenging prospect for protection engineers. Not only must they be proficient at operating a diverse range of data gathering tools but they must also be able to spend the time necessary to interpret the large volumes of data generated by modern network monitoring devices. Although a degree of automated assistance is provided by existing intelligent decision support tools, it remains for the protection engineer to manually collate and interpret the output of each system in order to compile a comprehensive understanding of each disturbance. As detailed in this thesis, the requirement for manual intervention has been eliminated through the development of the Protection Engineering Diagnostic Agents (PEDA) decision support architecture capable of automating all aspects of post-fault disturbance analysis. An essential component within this architecture is an alarm processor developed specifically to assist protection engineers with the early stages of post-fault disturbance analysis. The novel reasoning methodology employed emulates a protection engineer's approach to alarm analysis, providing automatic identification of transmission system disturbances and events. PEDA achieves fully automated post-fault disturbance analysis through the novel use of Multi-Agent Systems (MAS) to integrate the alarm processor with other automated systems for fault record retrieval, fault record interpretation and protection validation. As will be described in the thesis, achieving systems integration using MAS provides for levels of architecture flexibility and extensibility not previously realised within existing integrated decision support architectures. The PEDA architecture was developed following a comprehensive eleven stage methodology created as part of the reported research to assist with the specification of MAS for decision support within the power industry. Each stage of the PEDA specification process is detailed together with its implementation. Finally, the implemented architecture has been shown to offer automated retrieval, interpretation, collation and archiving of disturbance information within five minutes of a disturbance occurring. The beneficiaries of this near real-time provision of disturbance information need not be limited to protection engineers.
2

Kontarinis, Dionysios. "Debate in a multi-agent system : multiparty argumentation protocols." Thesis, Paris 5, 2014. http://www.theses.fr/2014PA05S025/document.

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Cette thèse concerne l’étude des débats argumentatifs entre plusieurs agents artificiels. Notre travail est motivé par les difficultés qui surgissent quand un nombre important d’utilisateurs interagissent et débattent sur le Web, en échangeant des arguments sur différents sujets. Ces difficultés se situent au niveau de la représentation des connaissances des agents impliqués dans le débat, de la représentation du débat, de la façon de tirer les conclusions du débat, de l'évaluation de la qualité du débat, de la définition des protocoles spécifiques d'interaction, et de l'étude des stratégies des agents qui souhaitent atteindre un but précis via le débat. La contribution de cette thèse consiste donc en: a) la modélisation d'un débat argumentatif entre plusieurs agents, la modélisation des expertises de ces derniers, et l'agrégation des opinions des différents experts sur différentes parties d'un débat; b) l'apport d'une aide à l'agent responsable de la gestion d'un débat donné, la proposition d'une méthode permettant d'évaluer la qualité des débats argumentatifs en fonction de la confiance que l'on peut avoir en leurs conclusions, ainsi que la proposition de solutions permettant d'améliorer la qualité des débats dont les conclusions ne sont pas clairement établies; c) l'apport d'une aide permettant aux agents qui participent à un débat argumentatif de déterminer quels arguments placer dans le débat, l'étude des systèmes argumentatifs munis d'une structure dynamique, l'étude des moyens disponibles permettant à un agent d'influencer un système dynamique afin d'atteindre son but, l'étude des modifications minimales permettant à un agent d’atteindre un objectif donné, l'étude des stratégies argumentatives basées sur ce changement minimal; d) la définition, l'étude et l'évaluation des protocoles argumentatifs multi-agents, ainsi que la définition de protocoles de différents types (1) basés sur une évaluation numérique d'arguments et (2) basés sur des extensions d'arguments, l'utilisation des différentes techniques pour assurer la cohérence d'un débat tout en laissant une liberté d'expression aux agents, et enfin un grand nombre d'expérimentations (sur des débats) permettant de tester différentes stratégies et de les évaluer en fonction de différents critères
In this thesis multi-agent argumentation debates are studied. Our work is motivated by the issues which are raised when a large number of users interact and debate on the Web, by exchanging arguments on various topics. These issues are raised on the levels of representing the debating users' knowledge, representing the debate, computing the debate's conclusions, evaluating the debate's quality, defining specific protocols for user interaction, and studying debate strategies which users employ in order to achieve particular goals. This thesis' contribution consists in: a) proposing a way to model a multi-agent argumentation debate where the participants have different types of expertise, and proposing a way to aggregate their opinions; b) offering support to the agent who is arbitrating a debate, proposing a way to evaluate the quality of a debate on the basis of how confident we can be on its conclusions, and proposing solutions for improving the quality of a debate which lacks definite conclusions; c) offering support to the debating agents in order to determine which arguments they should put forward, studying dynamic argumentation systems, studying the potential ways in which an agent can influence a dynamic argumentation system in order to achieve his goal, studying the minimal change allowing an agent to achieve his goal, studying several argumentation strategies based on minimal change; d) defining, studying and evaluating multi-agent argumentation protocols, defining protocols of different types (1) based on numerical argument evaluation and (2) based on argument extensions, using different techniques to ensure a debate's coherence while ensuring some liberty of expression to the agents, and finally performing an important number of experiments (on debates) in order to test various strategies and evaluate them with respect to specific criteria
3

Kontarinis, Dionysios. "Debate in a multi-agent system : multiparty argumentation protocols." Electronic Thesis or Diss., Paris 5, 2014. http://www.theses.fr/2014PA05S025.

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Cette thèse concerne l’étude des débats argumentatifs entre plusieurs agents artificiels. Notre travail est motivé par les difficultés qui surgissent quand un nombre important d’utilisateurs interagissent et débattent sur le Web, en échangeant des arguments sur différents sujets. Ces difficultés se situent au niveau de la représentation des connaissances des agents impliqués dans le débat, de la représentation du débat, de la façon de tirer les conclusions du débat, de l'évaluation de la qualité du débat, de la définition des protocoles spécifiques d'interaction, et de l'étude des stratégies des agents qui souhaitent atteindre un but précis via le débat. La contribution de cette thèse consiste donc en: a) la modélisation d'un débat argumentatif entre plusieurs agents, la modélisation des expertises de ces derniers, et l'agrégation des opinions des différents experts sur différentes parties d'un débat; b) l'apport d'une aide à l'agent responsable de la gestion d'un débat donné, la proposition d'une méthode permettant d'évaluer la qualité des débats argumentatifs en fonction de la confiance que l'on peut avoir en leurs conclusions, ainsi que la proposition de solutions permettant d'améliorer la qualité des débats dont les conclusions ne sont pas clairement établies; c) l'apport d'une aide permettant aux agents qui participent à un débat argumentatif de déterminer quels arguments placer dans le débat, l'étude des systèmes argumentatifs munis d'une structure dynamique, l'étude des moyens disponibles permettant à un agent d'influencer un système dynamique afin d'atteindre son but, l'étude des modifications minimales permettant à un agent d’atteindre un objectif donné, l'étude des stratégies argumentatives basées sur ce changement minimal; d) la définition, l'étude et l'évaluation des protocoles argumentatifs multi-agents, ainsi que la définition de protocoles de différents types (1) basés sur une évaluation numérique d'arguments et (2) basés sur des extensions d'arguments, l'utilisation des différentes techniques pour assurer la cohérence d'un débat tout en laissant une liberté d'expression aux agents, et enfin un grand nombre d'expérimentations (sur des débats) permettant de tester différentes stratégies et de les évaluer en fonction de différents critères
In this thesis multi-agent argumentation debates are studied. Our work is motivated by the issues which are raised when a large number of users interact and debate on the Web, by exchanging arguments on various topics. These issues are raised on the levels of representing the debating users' knowledge, representing the debate, computing the debate's conclusions, evaluating the debate's quality, defining specific protocols for user interaction, and studying debate strategies which users employ in order to achieve particular goals. This thesis' contribution consists in: a) proposing a way to model a multi-agent argumentation debate where the participants have different types of expertise, and proposing a way to aggregate their opinions; b) offering support to the agent who is arbitrating a debate, proposing a way to evaluate the quality of a debate on the basis of how confident we can be on its conclusions, and proposing solutions for improving the quality of a debate which lacks definite conclusions; c) offering support to the debating agents in order to determine which arguments they should put forward, studying dynamic argumentation systems, studying the potential ways in which an agent can influence a dynamic argumentation system in order to achieve his goal, studying the minimal change allowing an agent to achieve his goal, studying several argumentation strategies based on minimal change; d) defining, studying and evaluating multi-agent argumentation protocols, defining protocols of different types (1) based on numerical argument evaluation and (2) based on argument extensions, using different techniques to ensure a debate's coherence while ensuring some liberty of expression to the agents, and finally performing an important number of experiments (on debates) in order to test various strategies and evaluate them with respect to specific criteria
4

Alam, S. M. Shafiul. "Multi-agent estimation and control of cyber-physical systems." Diss., Kansas State University, 2015. http://hdl.handle.net/2097/20494.

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Doctor of Philosophy
Electrical and Computer Engineering
Balasubramaniam Natarajan
A cyber-physical system (CPS) typically consists of networked computational elements that control physical processes. As an integral part of CPS, the widespread deployment of communicable sensors makes the task of monitoring and control quite challenging especially from the viewpoint of scalability and complexity. This research investigates two unique aspects of overcoming such barriers, making a CPS more robust against data explosion and network vulnerabilities. First, the correlated characteristics of high-resolution sensor data are exploited to significantly reduce the fused data volume. Specifically, spatial, temporal and spatiotemporal compressed sensing approaches are applied to sample the measurements in compressed form. Such aggregation can directly be used in centralized static state estimation even for a nonlinear system. This approach results in a remarkable reduction in communication overhead as well as memory/storage requirement. Secondly, an agent based architecture is proposed, where the communicable sensors (identified as agents) also perform local information processing. Based on the local and underdetermined observation space, each agent can monitor only a specific subset of global CPS states, necessitating neighborhood information exchange. In this framework, we propose an agent based static state estimation encompassing local consensus and least square solution. Necessary bounds for the consensus weights are obtained through the maximum eigenvalue based convergence analysis and are verified for a radial power distribution network. The agent based formulation is also applied for a linear dynamical system and the consensus approach is found to exhibit better and more robust performance compared to a diffusion filter. The agent based Kalman consensus filter (AKCF) is further investigated, when the agents can choose between measurements and/or consensus, allowing the economic allocation of sensing and communication tasks as well as the temporary omission of faulty agents. The filter stability is guaranteed by deriving necessary consensus bounds through Lyapunov stability analysis. The states dynamically estimated from AKCF can be used for state-feedback control in a model predictive fashion. The effect of lossy communication is investigated and critical bounds on the link failure rate and the degree of consensus that ensure stability of the agent based control are derived and verified via simulations.
5

Yang, Ang Information Technology &amp Electrical Engineering Australian Defence Force Academy UNSW. "A networked multi-agent combat model : emergence explained." Awarded by:University of New South Wales - Australian Defence Force Academy. School of Information Technology and Electrical Engineering, 2007. http://handle.unsw.edu.au/1959.4/38823.

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Simulation has been used to model combat for a long time. Recently, it has been accepted that combat is a complex adaptive system (CAS). Multi-agent systems (MAS) are also considered as a powerful modelling and development environment to simulate combat. Agent-based distillations (ABD) - proposed by the US Marine Corp - are a type of MAS used mainly by the military for exploring large scenario spaces. ABDs that facilitated the analysis and understanding of combat include: ISAAC, EINSTein, MANA, CROCADILE and BactoWars. With new concepts such as networked forces, previous ABDs can implicitly simulate a networked force. However, the architectures of these systems limit the potential advantages gained from the use of networks. In this thesis, a novel network centric multi-agent architecture (NCMAA) is pro-posed, based purely on network theory and CAS. In NCMAA, each relationship and interaction is modelled as a network, with the entities or agents as the nodes. NCMAA offers the following advantages: 1. An explicit model of interactions/relationships: it facilitates the analysis of the role of interactions/relationships in simulations; 2. A mechanism to capture the interaction or influence between networks; 3. A formal real-time reasoning framework at the network level in ABDs: it interprets the emergent behaviours online. For a long time, it has been believed that it is hard in CAS to reason about emerging phenomena. In this thesis, I show that despite being almost impossible to reason about the behaviour of the system by looking at the components alone because of high nonlinearity, it is possible to reason about emerging phenomena by looking at the network level. This is undertaken through analysing network dynamics, where I provide an English-like reasoning log to explain the simulation. Two implementations of a new land-combat system called the Warfare Intelligent System for Dynamic Optimization of Missions (WISDOM) are presented. WISDOM-I is built based on the same principles as those in existing ABDs while WISDOM-II is built based on NCMAA. The unique features of WISDOM-II include: 1. A real-time network analysis toolbox: it captures patterns while interaction is evolving during the simulation; 2. Flexible C3 (command, control and communication) models; I 3. Integration of tactics with strategies: the tactical decisions are guided by the strategic planning; 4. A model of recovery: it allows users to study the role of recovery capability and resources; 5. Real-time visualization of all possible information: it allows users to intervene during the simulation to steer it differently in human-in-the-loop simulations. A comparison between the fitness landscapes of WISDOM-I and II reveals similarities and differences, which emphasise the importance and role of the networked architecture and the addition of strategic planning. Lastly but not least, WISDOM-II is used in an experiment with two setups, with and without strategic planning in different urban terrains. When the strategic planning was removed, conclusions were similar to traditional ABDs but were very different when the system ran with strategic planning. As such, I show that results obtained from traditional ABDs - where rational group planning is not considered - can be misleading. Finally, the thesis tests and demonstrates the role of communication in urban ter-rains. As future warfighting concepts tend to focus on asymmetric warfare in urban environments, it was vital to test the role of networked forces in these environments. I demonstrate that there is a phase transition in a number of situations where highly dense urban terrains may lead to similar outcomes as open terrains, while medium to light dense urban terrains have different dynamics
6

Dal, col Laura. "On distributed control analysis and design for Multi-Agent systems subject to limited information." Thesis, Toulouse, INSA, 2016. http://www.theses.fr/2016ISAT0034/document.

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Les systèmes multi-agents sont des systèmes dynamiques composés par plusieurs éléments qui interagissent entre eux. Ces éléments sont appelés agents. Un agent est un système dynamique caractérisé par deux propriétés. La première est que les agents sont autonomes— c’est-à-dire qu’ils ne sont pas dirigés par l’environnement extérieur et ils peuvent évoluer selon un comportement auto-organisé. La seconde est que les agents sont capables de communiquer entre eux pour accomplir des tâches complexes, telles que la coopération, la coordination et la résolution de conflits. L’un des problèmes courants concernant les systèmes multi-agents est la synchronisation. Les agents sont synchronisés lorsque leur évolution dans le temps converge vers une trajectoire commune. Plusieurs applications du monde réel peuvent être conceptualisés comme des problèmes de synchronisation des systèmes multi-agents : par exemple, l’alignement en vitesse ( flocking en anglais), et le contrôle de la formation du mouvement de groupes cohérents. La synchronisation des systèmes multi-agents peut être obtenue grâce à différentes techniques de contrôle. Dans cette thèse nous proposons des méthodes de contrôle centralisées et distribuées pour la synchronisation des systèmes multi-agents. Nous développons des conditions nécessaires et suffisantes pour la synchronisation des systèmes multi-agents, composés par des agents identiques et linéaires qui ne changent pas dans le temps, en utilisant une approche Lyapunov. Ces conditions sont utilisées pour la conception de lois de contrôles distribuées. ensuite, nous étendons les résultats aux systèmes multi-agents soumis à des perturbations externes, assurant un niveau de performance désiré grâce à une technique de contrôle de type 퐻 ∞ . enfin, nous étendons l’analyse aux systèmes multi-agents avec contraintes sur les actionneurs, en utilisant des techniques de contrôle anti-windup. Nous évaluons l’efficacité et les performances des stratégies de contrôle proposées dans plusieurs simulations, dont deux d’entre elles sont inspirées par des applications issues du monde réel. La première est le contrôle du vol en formation d’avions, et la seconde est l’analyse de la transmission de contenus vidéo comme un problème de synchronisation. Nous comparons aussi les résultats obtenus avec des techniques de contrôle alternatives
Multi-agent systems are dynamical systems composed of multiple interacting elements known as agents . Each agent is a dynamical system with two characteristics. First, it is capable of autonomous action—that is, it is able to evolve according to a self-organised behavior, which is not influenced by the external environment. Second, it is able to exchange information with other agents in order to accomplish complex tasks, such as coordination, cooperation, and conflict resolution. One commonly studied problem in multi-agent systems is synchronization. The agents are synchronized when their time evolutions converge to a common trajectory. Many real-world applications, such as flocking and formation control, can be cast as synchronization problems. Agent synchronization can be achieved using different approaches. In this thesis, we propose distributed and centralized control paradigms for the synchronization of multi-agent systems. We develop necessary and sufficient conditions for the synchronization of multi-agent systems, composed by identical linear time-invariant agents, us- ing a Lyapunov-based approach. Then we use these conditions to design distributed synchronization controllers. Then, we extend this result to multi-agent systems subject to external disturbances enforcing disturbance rejection with 퐻 ∞ control techniques. Furthermore, we extend the analysis to multi-agent systems with actuator constraints using LMI-based anti-windup techniques. We test the proposed control design strategies in simulated examples among which two are inspired by real-world applications. In the first, we study airplane formation control as a synchronization problem. In the second, we analyze the delivery of video streams as a synchronization problem and we compare the results to existing controllers
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Svahnberg, Mikael. "Background Analysis and Design of ABOS, an Agent-Based Operating System." Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik och datavetenskap, 1998. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2792.

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Modern operating systems should be extensible and flexible. This means that the operating system should be able to accept new behaviour and change existing behaviour without too much trouble and that it should ideally also be able to do this without any, or very little, downtime. Furthermore, during the past years the importance of the network has increased drastically, creating a demand for operating systems to function in a distributed environment. To achieve this flexibility and distribut-edness, I have designed and evaluated ABOS, an Agent-Based Operating System. ABOS uses agents to solve all the tasks of the operating system kernel, thus moving away from traditional monolithic kernel structures. Early results show that I have gained in flexibility and modularity, creating a fault-tolerant distributed operating system that can adapt and be adapted to almost any situa-tion with negligible decrease in performance. Within ABOS some tasks has been designed further, and there exists a demonstration of how the agent-based filesystem might work.
8

HAN, BEI. "Modeling and Analysis of Multilayer Complex Distribution System: A Multi-Agent Simulation for Decision Making." Doctoral thesis, Politecnico di Torino, 2013. http://hdl.handle.net/11583/2507530.

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In the context of emerging distribution system with large penetration of distributed generation and storage from prosumers, we consider the distribution system as a multi-layers interacting complex system. The complexity of the system, characterized by several interacting layers fit in the context of physical (network), cyber, social and natural environment, cannot be captured by closed form mathematical models and new approaches derived from complex sciences, as Multi Agent Simulation (MAS), will be employed for developing proper tools. Based on MAS, where individual arbitrariness and realities can be represented almost as in detail as designers want, complex decision making problems encountered in the emerging distribution system can be implemented, learned, and evaluated through predesigned MAS models; evolutions of complex multilayer system and interactions inside can be captured with utmost concretes. Future projections such as emerging distribution system can be simulated ex-ante; perplexities that may arouse can be diagnosed and even resolved in advance.
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Saw, Tee Huu. "Evaluation of a multi-agent system for simulation and analysis of distributed denial-of-service attacks." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Dec%5FSaw.pdf.

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Thesis (M.S. in Computer Science)--Naval Postgraduate School, December 2003.
Thesis advisor(s): James B. Michael, Mikhail Auguston. Includes bibliographical references (p. 52-54). Also available online.
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Franco, Nicola. "Distributed Observer Analysis and Design." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/19642/.

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A Distributed observer design is described for estimating the state of a continuous-time, input free, linear system. This thesis explains how to construct the local estimators, which comprise the observer inputs and outputs, and it is shown which are the requirements to deal with this structure. Every agent senses an output signal from the system and distributes it across a fixed-time network to its neighbors. The information flow increases the capability of each agent to estimate the state of the system and uses collaboration to improve the quality of data. The proposed solution has several positive features compared to recent results in the literature, which include milder assumptions on the network connectivity and the maximum dimension of the state of each observer does not exceed the order of the plant. The conditions are reduced to certain detectability requirements for each cluster of agents in the network, where a cluster is identified as a subset of agents that satisfy specific properties. Instead, the dimension of each observer is reduced to the number of possible observable states of the system, collected by the agent and by the neighbors.
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Books on the topic "Multi-agent system analysis":

1

Netherlands) EUMAS 2011 (2011 Maastricht. Multi-agent systems: 9th European workshop, EUMAS 2011, Maastricht, the Netherlands, November 14-15, 2011 : revised selected papers. Berlin: Springer, 2012.

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Villatoro, Daniel. Multi-Agent-Based Simulation XII: International Workshop, MABS 2011, Taipei, Taiwan, May 2-6, 2011, Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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Chen, Guanrong, Wenwu Yu, Guanghui Wen, and Jinde Cao. Distributed Cooperative Control of Multi-Agent Systems. Wiley & Sons, Limited, John, 2016.

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Chen, Guanrong, Wenwu Yu, Guanghui Wen, and Jinde Cao. Distributed Cooperative Control of Multi-Agent Systems. Wiley & Sons, Incorporated, John, 2016.

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Chen, Guanrong, Wenwu Yu, Guanghui Wen, and Jinde Cao. Distributed Cooperative Control of Multi-Agent Systems. Wiley & Sons, Incorporated, John, 2016.

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Chen, Guanrong, Wenwu Yu, Guanghui Wen, and Jinde Cao. Distributed Cooperative Control of Multi-Agent Systems. Wiley & Sons, Limited, John, 2016.

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Plinere, Darja. Development of a Multi-agent System for Supply Chain Management Efficiency Improvement. RTU Press, 2021. http://dx.doi.org/10.7250/9789934226915.

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The aim of the doctoral thesis is to develop an approach to the multi-agent system development that ensures the improvement of supply chain management efficiency. The developed approach allows creating a multi-agent system that can be used for various supply chain participants, as it reviews main supply chain processes and tasks to be solved. Various inventory management methods were used in the developed multi-agent system: forecasting algorithms, ABC analysis, and inventory replenishment point determination. Production scheduling and rescheduling were also used in the multi-agent system to reduce the total production time.
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Evaluation of a Multi-Agent System for Simulation and Analysis of Distributed Denial-of-Service Attacks. Storming Media, 2003.

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Scown, Philip James Andrew. Knowldege needs analysis for simultaneously multi-agent real-time systems. 1997.

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Liu, Cheng-Lin, and Fei Liu. Consensus Problem of Delayed Linear Multi-Agent Systems: Analysis and Design. Springer Singapore Pte. Limited, 2016.

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Book chapters on the topic "Multi-agent system analysis":

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Jonker, Catholijn M., and Jan Treur. "Formal Analysis of Models for the Dynamics of Trust Based on Experiences." In Multi-Agent System Engineering, 221–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48437-x_18.

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Rouchier, J., and F. Bousquet. "Non-merchant Economy and Multi-agent System: An Analysis of Structuring Exchanges." In Multi-Agent Systems and Agent-Based Simulation, 111–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/10692956_8.

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Zanni-Merk, Cecilia, Santiago Almiron, and Dominique Renaud. "A Multi-agents System for Analysis and Diagnosis of SMEs." In Agent and Multi-Agent Systems: Technologies and Applications, 103–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22000-5_12.

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Reboiro-Jato, Miguel, Daniel Glez-Peña, Hugo M. Santos, Mário S. Diniz, Carlos Lodeiro, José L. Capelo, and Florentino Fdez-Riverola. "Multi-agent System for Mass Spectrometry Analysis." In Advances in Intelligent and Soft Computing, 87–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12433-4_11.

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Tanaka, Yoshikazu, and Kazuhiko Tsuda. "Model-Driven Development of Water Hammer Analysis Software for Irrigation Pipeline System." In Agent and Multi-Agent Systems: Technology and Applications, 301–17. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39883-9_25.

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Kim, Taekyu, Young-Shin Han, Tae-young Kim, and Jong-Sik Lee. "Ontology Methodology Based Context Awareness Using System Entity Structure for Network Analysis." In Agent and Multi-Agent Systems: Technologies and Applications, 232–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-78582-8_24.

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Cabac, Lawrence, Nicolas Knaak, Daniel Moldt, and Heiko Rölke. "Analysis of Multi-Agent Interactions with Process Mining Techniques." In Multiagent System Technologies, 12–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11872283_2.

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Zabłocki, Michał. "Multi-agent Processes Analysis System in Prediction Task." In Advances in Intelligent Systems and Computing, 73–84. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15147-2_7.

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Goshima, Keiichi, and Hiroshi Takahashi. "Text Analysis System for Measuring the Influence of News Articles on Intraday Price Changes in Financial Markets." In Agent and Multi-Agent Systems: Technology and Applications, 341–48. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39883-9_28.

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Fujiwara, Shohei, Yusuke Matsumoto, Aiko Suge, and Hiroshi Takahashi. "Constructing a Valuation System Through Patent Document Analysis." In Agents and Multi-Agent Systems: Technologies and Applications 2020, 321–30. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5764-4_30.

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Conference papers on the topic "Multi-agent system analysis":

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Wang, Zhao-hui, and Sheng-rong Gong. "MAIRS: a content-based multi-agent image retrieval system." In MIPPR 2005 Image Analysis Techniques, edited by Deren Li and Hongchao Ma. SPIE, 2005. http://dx.doi.org/10.1117/12.655288.

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Liu, Bo, Xinmao Zhu, and Jie Zhang. "Consensus Analysis of the Multi-agent System." In 2010 International Workshop on Chaos-Fractals Theories and Applications (IWCFTA). IEEE, 2010. http://dx.doi.org/10.1109/iwcfta.2010.102.

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Su-Fang Chen. "Automation Power Dispatching sheet System based Multi-Agent." In 2009 International Conference on Apperceiving Computing and Intelligence Analysis (ICACIA 2009). IEEE, 2009. http://dx.doi.org/10.1109/icacia.2009.5361097.

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Dawson-Diaz, Nathal, and Vianca Vega-Zepeda. "Lifecycle coverage analysis via multi-agent system methodology." In 2017 6th International Conference on Software Process Improvement (CIMPS). IEEE, 2017. http://dx.doi.org/10.1109/cimps.2017.8169956.

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Badih, Haissam, and Yasamin Alagrash. "Static Analysis Framework Based on Multi - Agent System." In 2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS). IEEE, 2020. http://dx.doi.org/10.1109/iemtronics51293.2020.9216382.

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Reed, J. W. "A multi-agent system for distributed cluster analysis." In "Third International Workshop on Software Engineering for Large-Scale Multi-Agent Systems (SELMAS'04)" W16L Workshop - 26th International Conference on Software Engineering. IEE, 2004. http://dx.doi.org/10.1049/ic:20040372.

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Lee, Hae-In, Hyo-Sang Shin, and Antonios Tsourdos. "Stability Analysis on the Networked Multi-Agent System." In 2018 17th European Control Conference (ECC). IEEE, 2018. http://dx.doi.org/10.23919/ecc.2018.8550052.

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Korczak, Jerzy, Marcin Hernes, and Maciej Bac. "Fundamental analysis in the multi-agent trading system." In 2016 Federated Conference on Computer Science and Information Systems. IEEE, 2016. http://dx.doi.org/10.15439/2016f238.

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Mohammed, Khudhair Abbas, Salama A. Mostafa, Mohd Sharifuddin Ahmad, and Moamin A. Mahmoud. "A qualitative analysis of human-agent functions for collaborative multi-agent system." In 2014 International Conference on Information Technology and Multimedia (ICIMU). IEEE, 2014. http://dx.doi.org/10.1109/icimu.2014.7066638.

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Casella, G., V. Deufemia, and V. Mascardi. "A Multi-Agent System for Hand-drawn Diagram Recognition." In Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2. IEEE, 2007. http://dx.doi.org/10.1109/icdar.2007.4377013.

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Reports on the topic "Multi-agent system analysis":

1

Barber, K. S. Multi-Scale Behavioral Modeling and Analysis Promoting a Fundamental Understanding of Agent-Based System Design and Operation. Fort Belvoir, VA: Defense Technical Information Center, March 2007. http://dx.doi.org/10.21236/ada465613.

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van der Mensbrugghe, Dominique. The Standard GTAP Model in GAMS, Version 7.1. GTAP Working Paper, April 2023. http://dx.doi.org/10.21642/gtap.wp92.

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The purpose of this document is to describe a version of the Global Trade Analysis Project (GTAP) computable general equilibrium (CGE) model implemented in the General Algebraic Modeling System (GAMS) that is a literal implementation of the standard General Economic Modeling Package (GEMPACK) version. It updates and supersedes the model description provided in van der Mensbrugghe (2018), which remains the main reference. The key revision of the new version is that the model is calibrated to initially normalized variables, similar to Rutherford’s GTAPinGams model (Lanz and Rutherford (2016)). One objective is to improve model scaling and hopefully numerical convergence. One advantage is that it is relatively easy to view the results in percentage change form, similar to the GEMPACK version of the model. The new version includes three additional extensions: national-level Armington preferences for domestic vs. imports, agent-level sourcing by region of origin (a variant of the multi-region input-output model (MRIO)), and rent-generating ad valorem equivalent (AVE) of non-tariff measures (NTMs).

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