Relevant bibliographies by topics / Multi-agent interaction

Academic literature on the topic 'Multi-agent interaction'

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Published: 25 May 2024

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Journal articles on the topic "Multi-agent interaction"

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Lorkiewicz,, Wojciech, and Radosław Katarzyniak. "Multi-participant Interaction in Multi-agent Naming Game." Computational Methods in Science and Technology 20, no. 2 (2014): 59–60. http://dx.doi.org/10.12921/cmst.2014.20.02.59-80.

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Li, Guangyu, Bo Jiang, Hao Zhu, Zhengping Che, and Yan Liu. "Generative Attention Networks for Multi-Agent Behavioral Modeling." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (April 3, 2020): 7195–202. http://dx.doi.org/10.1609/aaai.v34i05.6209.

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Understanding and modeling behavior of multi-agent systems is a central step for artificial intelligence. Here we present a deep generative model which captures behavior generating process of multi-agent systems, supports accurate predictions and inference, infers how agents interact in a complex system, as well as identifies agent groups and interaction types. Built upon advances in deep generative models and a novel attention mechanism, our model can learn interactions in highly heterogeneous systems with linear complexity in the number of agents. We apply this model to three multi-agent systems in different domains and evaluate performance on a diverse set of tasks including behavior prediction, interaction analysis and system identification. Experimental results demonstrate its ability to model multi-agent systems, yielding improved performance over competitive baselines. We also show the model can successfully identify agent groups and interaction types in these systems. Our model offers new opportunities to predict complex multi-agent behaviors and takes a step forward in understanding interactions in multi-agent systems.
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Penner, Robin R. "Multi-Agent Societies for Collaborative Interaction." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 40, no. 15 (October 1996): 762–66. http://dx.doi.org/10.1177/154193129604001503.

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The application of a multi-agent architecture to the design and operation of automated process management systems is proving to be a fruitful method of facilitating human-system collaboration. The agent architecture we are developing is intended to be applied in environments where humans and automated systems jointly perform information intensive tasks, and is based on an organization of multiple agents, where both human and software agents are integrated members in groups akin to human societies. Important features of our architecture include an organization based on social structures, a user interface model based on a collaborative interaction metaphors, and a situated action paradigm for agent behavior.
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Boella, Guido, Joris Hulstijn, and Leendert van der Torre. "Interaction in Normative Multi-Agent Systems." Electronic Notes in Theoretical Computer Science 141, no. 5 (December 2005): 135–62. http://dx.doi.org/10.1016/j.entcs.2005.05.020.

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CHEREMISINOV, Dmitri. "The Specification of Agent Interaction in Multi-Agent Systems." Intelligent Information Management 01, no. 02 (2009): 65–72. http://dx.doi.org/10.4236/iim.2009.12011.

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Dushkin, Roman. "Multi-agent systems for cooperative ITS." Тренды и управление, no. 1 (January 2021): 42–50. http://dx.doi.org/10.7256/2454-0730.2021.1.34169.

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This article presents an original perspective upon the problem of creating intelligent transport systems in the conditions of using highly automated vehicles that freely move on the urban street-road networks. The author explores the issues of organizing a multi-agent system from such vehicles for solving the higher level tasks rather than by an individual agent (in this case – by a vehicle). Attention is also given to different types of interaction between the vehicles or vehicles and other agents. The examples of new tasks, in which the arrangement of such interaction would play a crucial role, are described. The scientific novelty is based on the application of particular methods and technologies of the multi-agent systems theory from the field of artificial intelligence to the creation of intelligent transport systems and organizing free-flow movement of highly automated vehicles. It is demonstrated the multi-agent systems are able to solve more complex tasks than separate agents or a group of non-interacting agents. This allows obtaining the emergent effects of the so-called swarm intelligence of the multiple interacting agents. This article may be valuable to everyone interested in the future of the transport sector.
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Murakami, Yohei, Toru Ishida, Tomoyuki Kawasoe, and Reiko Hishiyama. "Multi-Agent Simulation Based on Interaction Design." Transactions of the Japanese Society for Artificial Intelligence 18 (2003): 278–85. http://dx.doi.org/10.1527/tjsai.18.278.

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Poslad, Stefan. "Specifying protocols for multi-agent systems interaction." ACM Transactions on Autonomous and Adaptive Systems 2, no. 4 (November 2007): 15. http://dx.doi.org/10.1145/1293731.1293735.

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Zhou, Wenhong, Jie Li, Yiting Chen, and Lin-Cheng Shen. "Strategic Interaction Multi-Agent Deep Reinforcement Learning." IEEE Access 8 (2020): 119000–119009. http://dx.doi.org/10.1109/access.2020.3005734.

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Vogel-Heuser, Birgit, Matthias Seitz, Luis Alberto Cruz Salazar, Felix Gehlhoff, Alaettin Dogan, and Alexander Fay. "Multi-agent systems to enable Industry 4.0." at - Automatisierungstechnik 68, no. 6 (June 25, 2020): 445–58. http://dx.doi.org/10.1515/auto-2020-0004.

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AbstractThe discussion paper “I4.0 language: vocabulary, message structure and semantic interaction protocols of the I4.0 language”, published by the working group “Semantics and Interaction of Industry 4.0 Components” of the GMA, also known as UAG of the AG 1 of the platform Industry 4.0 (I4.0), presented a concept for the language between I4.0 components. The main conclusion is: The increasing networking and cooperation of components enable new forms of organization and control. A clear understanding of machine interactions paves self-organized and self-optimized value creation in I4.0. Agent-based systems are an option for the realization of such I4.0 architectures. Due to their features, software agents are particularly well suited for representing I4.0 components and enabling I4.0 interactions. Agents are not only able to understand the necessary machine languages, but also the essential mechanisms for self-organization and self-optimization in value creation. The paper focuses on I4.0 scenarios described by the Platform I4.0 that describes challenges for the industry towards its digital future and demonstrates how emerging challenges in the area of I4.0 can be met with the help of agent-based systems.
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Dissertations / Theses on the topic "Multi-agent interaction"

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Chen, Xudong. "Multi-Agent Systems with Reciprocal Interaction Laws." Thesis, Harvard University, 2014. http://dissertations.umi.com/gsas.harvard:11424.

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In this thesis, we investigate a special class of multi-agent systems, which we call reciprocal multi-agent (RMA) systems. The evolution of agents in a RMA system is governed by interactions between pairs of agents. Each interaction is reciprocal, and the magnitude of attraction/repulsion depends only on distances between agents. We investigate the class of RMA systems from four perspectives, these are two basic properties of the dynamical system, one formula for computing the Morse indices/co-indices of critical formations, and one formation control model as a variation of the class of RMA systems. An important aspect about RMA systems is that there is an equivariant potential function associated with each RMA system so that the equations of motion of agents are actually a gradient flow. The two basic properties about this class of gradient systems we will investigate are about the convergence of the gradient flow, and about the question whether the associated potential function is generically an equivariant Morse function. We develop systematic approaches for studying these two problems, and establish important results. A RMA system often has multiple critical formations and in general, these are hard to locate. So in this thesis, we consider a special class of RMA systems whereby there is a geometric characterization for each critical formation. A formula associated with the characterization is developed for computing the Morse index/co-index of each critical formation. This formula has a potential impact on the design and control of RMA systems. In this thesis, we also consider a formation control model whereby the control of formation is achieved by varying interactions between selected pairs of agents. This model can be interpreted in different ways in terms of patterns of information flow, and we establish results about the controllability of this control system for both centralized and decentralized problems.
Engineering and Applied Sciences
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Kalenka, Susanne. "Modelling social interaction attitudes in multi-agent systems." Thesis, Queen Mary, University of London, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.395937.

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Perez, Jorge (Jorge I. ). "Designing interaction for human-machine collaboration in multi-agent scheduling." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/106007.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 57-58).
In the field of multi-agent task scheduling, there are many algorithms that are capable of minimizing objective functions when the user is able to specify them. However, there is a need for systems and algorithms that are able to include user preferences or domain knowledge into the final solution. This will increase the usability of algorithms that would otherwise not include some characteristics desired by the end user but are highly optimal mathematically. We hypothesize that allowing subjects to iterate over solutions while adding allocation and temporal constraints would allow them to take advantage of the computational power to solve the temporal problem while including their preferences. No statistically significant results were found that supported that such algorithm is preferred over manually solving the problem among the participants. However, there are trends that support the hypothesis. We found statistically significant evidence (p=0.0027), that subjects reported higher workload when working with Manual Mode and Modification Mode rather than Iteration Mode and Feedback Iteration Mode. We propose changes to the system that can provide guidance for future design of interaction for scheduling problems.
by Jorge Perez.
M. Eng.
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Bai, Xi. "Peer-to-peer, multi-agent interaction adapted to a web architecture." Thesis, University of Edinburgh, 2013. http://hdl.handle.net/1842/7968.

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The Internet and Web have brought in a new era of information sharing and opened up countless opportunities for people to rethink and redefine communication. With the development of network-related technologies, a Client/Server architecture has become dominant in the application layer of the Internet. Nowadays network nodes are behind firewalls and Network Address Translations, and the centralised design of the Client/Server architecture limits communication between users on the client side. Achieving the conflicting goals of data privacy and data openness is difficult and in many cases the difficulty is compounded by the differing solutions adopted by different organisations and companies. Building a more decentralised or distributed environment for people to freely share their knowledge has become a pressing challenge and we need to understand how to adapt the pervasive Client/Server architecture to this more fluid environment. This thesis describes a novel framework by which network nodes or humans can interact and share knowledge with each other through formal service-choreography specifications in a decentralised manner. The platform allows peers to publish, discover and (un)subscribe to those specifications in the form of Interaction Models (IMs). Peer groups can be dynamically formed and disbanded based on the interaction logs of peers. IMs are published in HTML documents as normal Web pages indexable by search engines and associated with lightweight annotations which semantically enhance the embedded IM elements and at the same time make IM publications comply with the Linked Data principles. The execution of IMs is decentralised on each peer via conventional Web browsers, potentially giving the system access to a very large user community. In this thesis, after developing a proof-of-concept implementation, we carry out case studies of the resulting functionality and evaluate the implementation across several metrics. An increasing number of service providers have began to look for customers proactively, and we believe that in the near future we will not search for services but rather services will find us through our peer communities. Our approaches show how a peer-to-peer architecture for this purpose can be obtained on top of a conventional Client/Server Web infrastructure.
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Anacleto, Louçã Jorge. "Cartographie cognitive, réflexion stratégique et interaction distribuée : une approche multi-agent." Paris 9, 2000. https://portail.bu.dauphine.fr/fileviewer/index.php?doc=2000PA090028.

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Dans cette thèse nous adoptons une perspective interdisciplinaire concernant les domaines de la prise de décision stratégique dans les organisations humaines, de la cartographie cognitive et des systèmes multi-agents. Nous proposons la modélisation du raisonnement multidimensionnel caractéristique des processus stratégiques à travers un système multi-agent. Pour cela, nous utilisons la cartographie cognitive en tant qu'instrument d'aide à la réflexion collective. Dans le système multi-agent TOMAS, des cartes cognitives sont utilisées pour représenter les connaissances d'agents artificiels, cognitifs, autonomes et interactifs. Le raisonnement de chaque agent de TOMAS est fait en ayant recours à la méthode NPN e (NPN étendue), une extension de la logique NPN de W. Zhang, permettant le raisonnement à partir d'une carte cognitive et l'agrégation de cartes cognitives. Notre méthode suggère une agrégation partielle de cartes cognitives permettant de mettre en évidence les points de vue en conflit, et donc de diagnostiquer des conflits dans un système multi-agent. Nous proposons aussi une alternative d'agrégation de cartes cognitives inspirée des méthodes de jugement multi-attributs, permettant la résolution des conflits entre agents. L'expérimentation de ces propositions a été faite à travers le système STRAGENT, un système informatique d'aide à la réflexion stratégique fondé sur le système multi-agent TOMAS. STRAGENT constitue un support à la mise en pratique de la méthodologie lPX, une méthodologie d'audit ayant pour objectif d'aider les organisations à définir leur cadre de référence stratégique. Nous illustrons l'analyse que STRAGENT fait des conflits et le rôle de cette analyse dans la délibération collective à travers le cas SETCOM, un cas d'étude concernant le processus de réflexion stratégique d'une entreprise industrielle.
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Dinu, Razvan. "Web Agents : towards online hybrid multi-agent systems." Thesis, Montpellier 2, 2012. http://www.theses.fr/2012MON20126/document.

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Multi-agent systems have been used in a wide range of applications from computer-based simulations and mobile robots to agent-oriented programming and intelligent systems in real environments. However, the largest environment in which software agents can interact is, without any doubt, the World Wide Web and ever since its birth agents have been used in various applications such as search engines, e-commerce, and most recently the semantic web. However, agents have yet to be used on the Web in a way that leverages the full power of artificial intelligence and multi-agent systems, which have the potential of making life much easier for humans. This thesis investigates how this can be changed, and how agents can be brought to the core of the online experience in the sense that we want people to talk and interact with agents instead of "just using yet another application or website". We analyze what makes it hard to develop intelligent agents on the web and we propose a web agent model (WAM) inspired by recent results in multi-agent systems. Nowadays, a simple conceptual model is the key for widespread adoption of new technologies and this is why we have chosen the MASQ meta-model as the basis for our approach, which provides the best compromise in terms of simplicity of concepts, generality and applicability to the web. Since until now the model was introduced only in an informal way, we also provide a clear formalization of the MASQ meta-model.Next, we identify the three main challenges that need to be addressed when building web agents: integration of bodies, web semantics and user friendliness. We focus our attention on the first two and we propose a set of principles to guide the development of what we call strong web agents. Finally, we validate our proposal through the implementation of an award winning platform called Kleenk. Our work is just a step towards fulfilling the vision of having intelligent web agents mediate the interaction with the increasingly complex World Wide Web
Multi-agent systems have been used in a wide range of applications from computer-based simulations and mobile robots to agent-oriented programming and intelligent systems in real environments. However, the largest environment in which software agents can interact is, without any doubt, the World Wide Web and ever since its birth agents have been used in various applications such as search engines, e-commerce, and most recently the semantic web. However, agents have yet to be used on the Web in a way that leverages the full power of artificial intelligence and multi-agent systems, which have the potential of making life much easier for humans. This thesis investigates how this can be changed, and how agents can be brought to the core of the online experience in the sense that we want people to talk and interact with agents instead of "just using yet another application or website". We analyze what makes it hard to develop intelligent agents on the web and we propose a web agent model (WAM) inspired by recent results in multi-agent systems. Nowadays, a simple conceptual model is the key for widespread adoption of new technologies and this is why we have chosen the MASQ meta-model as the basis for our approach, which provides the best compromise in terms of simplicity of concepts, generality and applicability to the web. Since until now the model was introduced only in an informal way, we also provide a clear formalization of the MASQ meta-model.Next, we identify the three main challenges that need to be addressed when building web agents: integration of bodies, web semantics and user friendliness. We focus our attention on the first two and we propose a set of principles to guide the development of what we call strong web agents. Finally, we validate our proposal through the implementation of an award winning platform called Kleenk. Our work is just a step towards fulfilling the vision of having intelligent web agents mediate the interaction with the increasingly complex World Wide Web
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Scown, Philip J. A. "Knowledge needs analysis for simultaneously multi-agent real-time systems." Thesis, Loughborough University, 1997. https://dspace.lboro.ac.uk/2134/26859.

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A set of systems are considered where there are multiple agents simultaneously active within real-time a environment. These systems are termed SMART systems and are found in domains as diverse as office administration, process control and aviation. Such systems place particular demands on agents that are not present in non-SMART systems. Actions may be time constrained in two ways: i) an action appropriate at one time may not be appropriate at another; ii) the time available for a required action may approximate to the time in which an agent is able to perform that action. In order to be able to function in such environments agents, both human and computer, must be aware of time constraints and the actions necessary to ensure that they do not compromise system goals.
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GRALHOZ, RICARDO AUGUSTO RODRIGUES. "LAWML: A LANGUAGE FOR MODELING INTERACTION LAWS IN OPEN MULTI-AGENT SYSTEMS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2007. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=11626@1.

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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
O paradigma de agentes surgiu visando atender à necessidade de novas abstrações para o desenvolvimento de sistemas complexos e distribuídos. Para lidar com a mprevisibilidade do comportamento dos sistemas multi-agentes abertos, que são sistemas concorrentes e assíncronos formados por diversos agentes que agem com certo grau de autonomia e que podem interagir entre si para alcançar objetivos individuais, são usados mecanismos de governança na regulação das interações. Na maioria das abordagens existentes, a especificação das regras de governança é feita com o uso de linguagens declarativas ou de novas representações gráficas, o que pode tornar custosa essa tarefa e dificultar o uso desses mecanismos de governança. Esta dissertação apresenta a LawML, uma linguagem de modelagem baseada em UML para a especificação das regras de interação entre os agentes, com o objetivo de facilitar a tarefa de modelagem e, portanto, facilitar o uso de um mecanismo específico de governança baseado em leis de interação. Um conjunto de regras de transformação é apresentado junto com a linguagem, para permitir que os modelos gráficos de lei de interação sejam transformados em código no formato XMLaw - a linguagem declarativa do mecanismo de governança. Baseada nessas regras de transformação, é apresentada a ferramenta LawGenerator de transformação automática dos modelos de lei, para permitir o desenvolvimento das leis de interação com o foco nos modelos. E, por fim, esta abordagem é aplicada em um estudo baseado em um caso real de sistema distribuído com as características de um sistema multi-agente aberto - o SELIC, do Banco Central do Brasil.
The paradigm of agents appeared while aiming to satisfy the need for new abstractions for the development of complex and distributed systems. To manage with the unpredictable behavior of open multi-agent systems, governance mechanisms are used in the regulation of interactions between agents. This is due to the concurrent and asynchronous characteristics of these systems, which are formed by several agents who can act autonomically and can interact with each other to reach individual goals. In the majority of approaches, the governance rules are specified with declarative languages or new graphical representations, which can make this task costly and can make the use of these governance mechanisms difficult. This essay presents the LawML, a modeling language based on UML for the specification of rules for interactions between agents, which is aimed to facilitate the modeling task and, therefore, to facilitate the use of a specific governance mechanism based on interaction laws. A set of transformation rules is presented in addition to the language to allow the graphical interaction law models to be transformed into the declarative language of the governance mechanism, the XMLaw format code. To allow the model-driven development of interaction laws, it is presented the LawGenerator, a tool for the automatic transformation of the law model, based on these transformation rules. Finally, this approach is applied to a case study based on a real distributed system, the Brazilian Central Bank SELIC system, with the characteristics of an open multi-agent system.
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Cunningham, Bryan. "Non-Reciprocating Sharing Methods in Cooperative Q-Learning Environments." Thesis, Virginia Tech, 2012. http://hdl.handle.net/10919/34610.

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Past research on multi-agent simulation with cooperative reinforcement learning (RL) for homogeneous agents focuses on developing sharing strategies that are adopted and used by all agents in the environment. These sharing strategies are considered to be reciprocating because all participating agents have a predefined agreement regarding what type of information is shared, when it is shared, and how the participating agent's policies are subsequently updated. The sharing strategies are specifically designed around manipulating this shared information to improve learning performance. This thesis targets situations where the assumption of a single sharing strategy that is employed by all agents is not valid. This work seeks to address how agents with no predetermined sharing partners can exploit groups of cooperatively learning agents to improve learning performance when compared to Independent learning. Specifically, several intra-agent methods are proposed that do not assume a reciprocating sharing relationship and leverage the pre-existing agent interface associated with Q-Learning to expedite learning. The other agents' functions and their sharing strategies are unknown and inaccessible from the point of view of the agent(s) using the proposed methods. The proposed methods are evaluated on physically embodied agents in the multi-agent cooperative robotics field learning a navigation task via simulation. The experiments conducted focus on the effects of the following factors on the performance of the proposed non-reciprocating methods: scaling the number of agents in the environment, limiting the communication range of the agents, and scaling the size of the environment.
Master of Science
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Salge, Christoph. "Information theoretic models of social interaction." Thesis, University of Hertfordshire, 2013. http://hdl.handle.net/2299/13887.

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This dissertation demonstrates, in a non-semantic information-theoretic framework, how the principles of 'maximisation of relevant information' and 'information parsimony' can guide the adaptation of an agent towards agent-agent interaction. Central to this thesis is the concept of digested information; I argue that an agent is intrinsically motivated to a.) process the relevant information in its environment and b.) display this information in its own actions. From the perspective of similar agents, who require similar information, this differentiates other agents from the rest of the environment, by virtue of the information they provide. This provides an informational incentive to observe other agents and integrate their information into one's own decision making process. This process is formalized in the framework of information theory, which allows for a quantitative treatment of the resulting effects, specifically how the digested information of an agent is influenced by several factors, such as the agent's performance and the integrated information of other agents. Two specific phenomena based on information maximisation arise in this thesis. One is flocking behaviour similar to boids that results when agents are searching for a location in a girdworld and integrated the information in other agent's actions via Bayes' Theorem. The other is an effect where integrating information from too many agents becomes detrimental to an agent's performance, for which several explanations are provided.
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Books on the topic "Multi-agent interaction"

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1960-, Sun Ron, ed. Cognition and multi-agent interaction: From cognitive modeling to social simulation. Cambridge: Cambridge University Press, 2006.

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Khosla, Rajiv. Intelligent Multimedia Multi-Agent Systems: A Human-Centered Approach. Boston, MA: Springer US, 2000.

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Wayne, Wobcke, Sen Sandip, Sugawara Toshiharu, and SpringerLink (Online service), eds. PRIMA 2012: Principles and Practice of Multi-Agent Systems: 15th International Conference, Kuching, Sarawak, Malaysia, September 3-7, 2012. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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Iyad, Rahwan, Parsons Simon, and SpringerLink (Online service), eds. Argumentation in Multi-Agent Systems: 7th International Workshop, ArgMAS 2010 Toronto, ON, Canada, May 10, 2010 Revised, Selected and Invited Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011.

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International Conference on Multi-Agent Systems (1st 1995 San Francisco, Calif.). ICMAS--95, First International Conference on Multi-Agent Systems: Proceedings, June 12-14, 1995, San Francisco, California. Menlo Park, Calif: AAAI Press, 1995.

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Sun, Ron, ed. Cognition and Multi-Agent Interaction. Cambridge University Press, 2005. http://dx.doi.org/10.1017/cbo9780511610721.

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W, Brockett Roger, Tarokh Vahid, and Lu Yue, eds. Multi-Agent Systems with Reciprocal Interaction Laws. 2014.

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Sun, Ron. Cognition and Multi-agent Interaction: From Cognitive Modeling to Social Simulation. Cambridge University Press, 2006.

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Sun, Ron. Cognition and Multi-Agent Interaction: From Cognitive Modeling to Social Simulation. Cambridge University Press, 2008.

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Sun, Ron. Cognition and Multi-Agent Interaction: From Cognitive Modeling to Social Simulation. Cambridge University Press, 2005.

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Book chapters on the topic "Multi-agent interaction"

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Torii, Daisuke, Toru Ishida, Stéphane Bonneaud, and Alexis Drogoul. "Layering Social Interaction Scenarios on Environmental Simulation." In Multi-Agent and Multi-Agent-Based Simulation, 78–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-32243-6_7.

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Chen, Hongbing, Qun Yang, and Manwu Xu. "A Calculus for MAS Interaction Protocol." In Agent Computing and Multi-Agent Systems, 22–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11802372_6.

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Klügl, Franziska. "Affordance-Based Interaction Design for Agent-Based Simulation Models." In Multi-Agent Systems, 51–66. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17130-2_4.

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Michel, Fabien, Abdelkader Gouaïch, and Jacques Ferber. "Weak Interaction and Strong Interaction in Agent Based Simulations." In Multi-Agent-Based Simulation III, 43–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-24613-8_4.

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El Fallah-Seghrouchni, Amal, Serge Haddad, and Hamza Mazouzi. "Protocol Engineering for Multi-agent Interaction." In Multi-Agent System Engineering, 89–101. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48437-x_8.

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Tanaka, Rie, Hideyuki Nakanishi, and Toru Ishida. "Coordination of Concurrent Scenarios in Multi-agent Interaction." In Agent Computing and Multi-Agent Systems, 293–304. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11802372_29.

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Lin, Aizhong. "Strategic Multi-Personal-Agent Interaction." In Lecture Notes in Computer Science, 93–107. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44637-0_7.

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Tagiew, Rustam. "Multi-Agent-System for General Strategic Interaction." In Agent and Multi-Agent Systems: Technologies and Applications, 649–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01665-3_65.

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Zatelli, Maicon Rafael, and Jomi Fred Hübner. "The Interaction as an Integration Component for the JaCaMo Platform." In Engineering Multi-Agent Systems, 431–50. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-14484-9_22.

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Ferrando, Angelo, Michael Winikoff, Stephen Cranefield, Frank Dignum, and Viviana Mascardi. "On Enactability of Agent Interaction Protocols: Towards a Unified Approach." In Engineering Multi-Agent Systems, 43–64. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51417-4_3.

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Conference papers on the topic "Multi-agent interaction"

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Bel-Enguix, Gemma, and M. Dolores Jimenez-Lopez. "Agent-environment interaction in a multi-agent system." In the 2007 GECCO conference companion. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1274000.1274045.

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Seitbekova, Yerkezhan, and Timur Bakibayev. "Predator-Prey Interaction Multi-Agent Modelling." In 2018 IEEE 12th International Conference on Application of Information and Communication Technologies (AICT). IEEE, 2018. http://dx.doi.org/10.1109/icaict.2018.8747087.

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Mostafa, Salama A., Mohd Sharifuddin Ahmad, Azhana Ahmad, Muthukkaruppan Annamalai, and Saraswathy Shamini Gunasekaran. "A Flexible Human-Agent Interaction model for supervised autonomous systems." In 2016 2nd International Symposium on Agent, Multi-Agent Systems and Robotics (ISAMSR). IEEE, 2016. http://dx.doi.org/10.1109/isamsr.2016.7810011.

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Villani, Valeria, Lorenzo Sabattini, Cristian Secchi, and Cesare Fantuzzi. "Natural interaction based on affective robotics for multi-robot systems." In 2017 International Symposium on Multi-Robot and Multi-Agent Systems (MRS). IEEE, 2017. http://dx.doi.org/10.1109/mrs.2017.8250931.

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Jansma, Walter, Elia Trevisan, Álvaro Serra-Gómez, and Javier Alonso-Mora. "Interaction-Aware Sampling-Based MPC with Learned Local Goal Predictions." In 2023 International Symposium on Multi-Robot and Multi-Agent Systems (MRS). IEEE, 2023. http://dx.doi.org/10.1109/mrs60187.2023.10416788.

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"Enabling Spoken Dialogue Interaction About Team Activities." In The First International Workshop on Multi-Agent Robotic Systems. SciTePress - Science and and Technology Publications, 2005. http://dx.doi.org/10.5220/0001196400230030.

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Orlic, M., B. Mihaljevic, and M. Zagar. "Modelling interaction scenarios in multi-agent systems." In 28th International Conference on Information Technology Interfaces, 2006. IEEE, 2006. http://dx.doi.org/10.1109/iti.2006.1708509.

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Kubera, Yoann, Philippe Mathieu, and Sébastien Picault. "Interaction Selection Ambiguities in Multi-agent Systems." In 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology. IEEE, 2008. http://dx.doi.org/10.1109/wiiat.2008.260.

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Staley, James, and Elaine Schaertl Short. "Contingency Detection in Multi-Agent Interactions." In HRI '21: ACM/IEEE International Conference on Human-Robot Interaction. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3434074.3447164.

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Chen, Shuyi, Masatoshi Hanai, Zhengchang Hua, Nikos Tziritas, and Georgios Theodoropoulos. "Efficient Direct Agent Interaction in Optimistic Distributed Multi-Agent-System Simulations." In SIGSIM-PADS '20: SIGSIM Principles of Advanced Discrete Simulation. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3384441.3395977.

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Reports on the topic "Multi-agent interaction"

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Spears, William, Diana Spears, Wesley Kerr, Suranga Hettiarachchi, and Dimitri Zarzhitsky. Optimizing Interaction Potentials for Multi-Agent Surveillance. Fort Belvoir, VA: Defense Technical Information Center, January 2004. http://dx.doi.org/10.21236/ada434929.

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Roszman, Larry, Derek Armstrong, Aram Khalali, and Gwen Hickling. Dynamic Control and Formal Models of Multi-Agent Interactions and Behaviors. Fort Belvoir, VA: Defense Technical Information Center, May 2005. http://dx.doi.org/10.21236/ada435125.

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Coble, Jeff, Larry Roszman, and Tiffany Frazier. Dynamic Control and Formal Models of Multi-Agent Interactions and Behaviors. Fort Belvoir, VA: Defense Technical Information Center, February 2003. http://dx.doi.org/10.21236/ada412536.

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Manulis, Shulamit, Christine D. Smart, Isaac Barash, Guido Sessa, and Harvey C. Hoch. Molecular Interactions of Clavibacter michiganensis subsp. michiganensis with Tomato. United States Department of Agriculture, January 2011. http://dx.doi.org/10.32747/2011.7697113.bard.

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Clavibacter michiganensis subsp. michiganensis (Cmm), the causal agent of bacterial wilt and canker of tomato, is the most destructive bacterial disease of tomato causing substantial economic losses in Israel, the U.S.A. and worldwide. The molecular strategies that allow Cmm, a Gram-positive bacterium, to develop a successful infection in tomato plants are largely unknown. The goal of the project was to elucidate the molecular interactions between Cmmand tomato. The first objective was to analyze gene expression profiles of susceptible tomato plants infected with pathogenic and endophytic Cmmstrains. Microarray analysis identified 122 genes that were differentially expressed during early stages of infection. Cmm activated typical basal defense responses in the host including induction of defense-related genes, production of scavenging of free oxygen radicals, enhanced protein turnover and hormone synthesis. Proteomic investigation of the Cmm-tomato interaction was performed with Multi-Dimensional Protein Identification Technology (MudPIT) and mass spectroscopy. A wide range of enzymes secreted by Cmm382, including cell-wall degrading enzymes and a large group of serine proteases from different families were identified in the xylem sap of infected tomato. Based on proteomic results, the expression pattern of selected bacterial virulence genes and plant defense genes were examined by qRT-PCR. Expression of the plasmid-borne cellulase (celA), serine protease (pat-1) and serine proteases residing on the chp/tomA pathogenicity island (chpCandppaA), were significantly induced within 96 hr after inoculation. Transcription of chromosomal genes involved in cell wall degradation (i.e., pelA1, celB, xysA and xysB) was also induced in early infection stages. The second objective was to identify by VIGS technology host genes affecting Cmm multiplication and appearance of disease symptoms in plant. VIGS screening showed that out of 160 tomato genes, which could be involved in defense-related signaling, suppression of 14 genes led to increase host susceptibility. Noteworthy are the genes Snakin-2 (inhibitor of Cmm growth) and extensin-like protein (ELP) involved in cell wall fortification. To further test the significance of Snakin -2 and ELP in resistance towards Cmm, transgenic tomato plants over-expressing the two genes were generated. These plants showed partial resistance to Cmm resulting in a significant delay of the wilt symptoms and reduction in size of canker lesion compared to control. Furthermore, colonization of the transgenic plants was significantly lower. The third objective was to assess the involvement of ethylene (ET), jasmonate (JA) and salicylic acid (SA) in Cmm infection. Microarray and proteomic studies showed the induction of enzymes involved in ET and JA biosynthesis. Cmm promoted ET production 8 days after inoculation and SIACO, a key enzyme of ET biosynthesis, was upregulated. Inoculation of the tomato mutants Never ripe (Nr) impaired in ET perception and transgenic plants with reduced ET synthesis significantly delayed wilt symptoms as compared to the wild-type plants. The retarded wilting in Nr plants was shown to be a specific effect of ET insensitivity and was not due to altered expression of defense related genes, reduced bacterial population or decrease in ethylene biosynthesis . In contrast, infection of various tomato mutants impaired in JA biosynthesis (e.g., def1, acx1) and JA insensitive mutant (jai1) yielded unequivocal results. The fourth objective was to determine the role of cell wall degrading enzymes produced by Cmm in xylem colonization and symptoms development. A significance increase (2 to 7 fold) in expression of cellulases (CelA, CelB), pectate lyases (PelA1, PelA2), polygalacturonase and xylanases (XylA, XylB) was detected by qRT-PCR and by proteomic analysis of the xylem sap. However, with the exception of CelA, whose inactivation led to reduced wilt symptoms, inactivation of any of the other cell wall degrading enzymes did not lead to reduced virulence. Results achieved emphasized the complexity involved in Cmm-tomato interactions. Nevertheless they provide the basis for additional research which will unravel the mechanism of Cmm pathogenicity and formulating disease control measures.
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Ficht, Thomas, Gary Splitter, Menachem Banai, and Menachem Davidson. Characterization of B. Melinensis REV 1 Attenuated Mutants. United States Department of Agriculture, December 2000. http://dx.doi.org/10.32747/2000.7580667.bard.

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Brucella Mutagenesis (TAMU) The working hypothesis for this study was that survival of Brucella vaccines was directly related to their persistence in the host. This premise is based on previously published work detailing the survival of the currently employed vaccine strains S19 and Rev 1. The approach employed signature-tagged mutagenesis to construct mutants interrupted in individual genes, and the mouse model to identify mutants with attenuated virulence/survival. Intracellular survival in macrophages is the key to both reproductive disease in ruminants and reticuloendothelial disease observed in most other species. Therefore, the mouse model permitted selection of mutants of reduced intracellular survival that would limit their ability to cause reproductive disease in ruminants. Several classes of mutants were expected. Colonization/invasion requires gene products that enhance host-agent interaction or increase resistance to antibacterial activity in macrophages. The establishment of chronic infection requires gene products necessary for intracellular bacterial growth. Maintenance of chronic infection requires gene products that sustain a low-level metabolism during periods characterized little or no growth (1, 2). Of these mutants, the latter group was of greatest interest with regard to our originally stated premise. However, the results obtained do not necessarily support a simplistic model of vaccine efficacy, i.e., long-survival of vaccine strains provides better immunity. Our conclusion can only be that optimal vaccines will only be developed with a thorough understanding of host agent interaction, and will be preferable to the use of fortuitous isolates of unknown genetic background. Each mutant could be distinguished from among a group of mutants by PCR amplification of the signature tag (5). This approach permitted infection of mice with pools of different mutants (including the parental wild-type as a control) and identified 40 mutants with apparently defective survival characteristics that were tentatively assigned to three distinct classes or groups. Group I (n=13) contained organisms that exhibited reduced survival at two weeks post-infection. Organisms in this group were recovered at normal levels by eight weeks and were not studied further, since they may persist in the host. Group II (n=11) contained organisms that were reduced by 2 weeks post infection and remained at reduced levels at eight weeks post-infection. Group III (n=16) contained mutants that were normal at two weeks, but recovered at reduced levels at eight weeks. A subset of these mutants (n= 15) was confirmed to be attenuated in mixed infections (1:1) with the parental wild-type. One of these mutants was eliminated from consideration due to a reduced growth rate in vitro that may account for its apparent growth defect in the mouse model. Although the original plan involved construction of the mutant bank in B. melitensis Rev 1 the low transformability of this strain, prevented accumulation of the necessary number of mutants. In addition, the probability that Rev 1 already carries one genetic defect increases the likelihood that a second defect will severely compromise the survival of this organism. Once key genes have been identified, it is relatively easy to prepare the appropriate genetic constructs (knockouts) lacking these genes in B. melitensis Rev 1 or any other genetic background. The construction of "designer" vaccines is expected to improve immune protection resulting from minor sequence variation corresponding to geographically distinct isolates or to design vaccines for use in specific hosts. A.2 Mouse Model of Brucella Infection (UWISC) Interferon regulatory factor-1-deficient (IRF-1-/- mice have diverse immunodeficient phenotypes that are necessary for conferring proper immune protection to intracellular bacterial infection, such as a 90% reduction of CD8+ T cells, functionally impaired NK cells, as well as a deficiency in iNOS and IL-12p40 induction. Interestingly, IRF-1-/- mice infected with diverse Brucella abortus strains reacted differently in a death and survival manner depending on the dose of injection and the level of virulence. Notably, 50% of IRF-1-/- mice intraperitoneally infected with a sublethal dose in C57BL/6 mice, i.e., 5 x 105 CFU of virulent S2308 or the attenuated vaccine S19, died at 10 and 20 days post-infection, respectively. Interestingly, the same dose of RB51, an attenuated new vaccine strain, did not induce the death of IRF-1-/- mice for the 4 weeks of infection. IRF-1-/- mice infected with four more other genetically manipulated S2308 mutants at 5 x 105 CFU also reacted in a death or survival manner depending on the level of virulence. Splenic CFU from C57BL/6 mice infected with 5 x 105 CFU of S2308, S19, or RB51, as well as four different S2308 mutants supports the finding that reduced virulence correlates with survival Of IRF-1-/- mice. Therefore, these results suggest that IRF-1 regulation of multi-gene transcription plays a crucial role in controlling B. abortus infection, and IRF-1 mice could be used as an animal model to determine the degree of B. abortus virulence by examining death or survival. A3 Diagnostic Tests for Detection of B. melitensis Rev 1 (Kimron) In this project we developed an effective PCR tool that can distinguish between Rev1 field isolates and B. melitensis virulent field strains. This has allowed, for the first time, to monitor epidemiological outbreaks of Rev1 infection in vaccinated flocks and to clearly demonstrate horizontal transfer of the strain from vaccinated ewes to unvaccinated ones. Moreover, two human isolates were characterized as Rev1 isolates implying the risk of use of improperly controlled lots of the vaccine in the national campaign. Since atypical B. melitensis biotype 1 strains have been characterized in Israel, the PCR technique has unequivocally demonstrated that strain Rev1 has not diverted into a virulent mutant. In addition, we could demonstrate that very likely a new prototype biotype 1 strain has evolved in the Middle East compared to the classical strain 16M. All the Israeli field strains have been shown to differ from strain 16M in the PstI digestion profile of the omp2a gene sequence suggesting that the local strains were possibly developed as a separate branch of B. melitensis. Should this be confirmed these data suggest that the Rev1 vaccine may not be an optimal vaccine strain for the Israeli flocks as it shares the same omp2 PstI digestion profile as strain 16M.
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