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Towards a reference model for agent-based systems

Pragnesh Jay Modi, Spiros Mancoridis, William M. Mongan, William Regli, Israel Mayk
2006 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems - AAMAS '06  
In this paper, we argue that a reference model for agent-based systems can fill this need.  ...  We discuss what a reference model is, why one is needed for agent-based systems, and our proposed methodology for creating such a reference model.  ...  We also thank Tedd Gimber, Bernard Goren, Michael Huhns, James Odell, Randy Reitmeyer and Todd Urness for useful discussions.  ... 
doi:10.1145/1160633.1160922 dblp:conf/atal/ModiMMRM06 fatcat:45fsjah4trhwfeuaaiz7c2ykfm

Towards an Agent-Based Simulation Model for Schema Matching

Hicham Assoudi, Hakim Lounis
2014 2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems  
Keywords-schema matching; multi-agent systems; agent-based modelling and simulation I.  ...  In this demo, we present the implementation of a novel Agent-based Modelling and Simulation approach for the Schema Matching problem called "Schema Matching Agent-based Simulation" (SMAS).  ...  The current release of SAMS, uses only the lexical text similarity measures, we are planning, for the next release, to add semantic similarity measures such as Vector Space Model (VSM) and Latent semantic  ... 
doi:10.1109/saso.2014.42 dblp:conf/saso/AssoudiL14 fatcat:p6bnwtnkwrh5fgavetpylafvtm

A Multiagent Model for Intelligent Distributed Control Systems [chapter]

José Aguilar, Mariela Cerrada, Gloria Mousalli, Franklin Rivas, Francisco Hidrobo
2005 Lecture Notes in Computer Science  
In this article, a reference model for the development of Intelligent Distributed Control Systems based on Agents (IDCSA) inspired by this hierarchical architecture is presented.  ...  One approach for automating industrial processes is a Distributed Control System (DCS) based on a hierarchical architecture.  ...  In this work, a reference model for Intelligent Distributed Control System (IDCS) based on Agents is proposed.  ... 
doi:10.1007/11552413_28 fatcat:qkr6mdsdhzbbxcervfwl6yddre


2015 Technological and Economic Development of Economy  
One way is to deploy trust and reputation management systems that are based on collecting feedbacks about partners' transactions.  ...  In our method, a trust evaluator finds other agents in society that are similar to him, taking into account pairwise similarity of trust values and similarity of agents' general mindsets.  ...  As such, agents in e-commerce system may provide contradictory trust assessment towards a certain agent for two reasons.  ... 
doi:10.3846/20294913.2015.1022810 fatcat:eldsicssqnfajgmhyidi6apohq


2015 Procedia Computer Science  
Systems: Events-based versus Agent Based Modeling W.C.  ...  Nguyen . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 373 Toward Agent-based Modeling of the  ... 
doi:10.1016/s1877-0509(15)00405-6 fatcat:k345fi7llfe3flkdupl5jbr2ju

Partner Selection Mechanisms for Agent Cooperation

Toktam Ebadi, Maryam Purvis, Martin Purvis
2008 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology  
In this paper an agent model is introduced that facilitates cooperation among agents. A multi-threaded multi-agent simulation framework is designed to test the model.  ...  Abstract In a multi-agent system, a single agent may not be capable of completing complex tasks. Therefore agents are required to form a team to fulfill the task requirements.  ...  This paper introduces a multi-dimensional model for partner selection based on attitudes and capabilities.  ... 
doi:10.1109/wiiat.2008.294 dblp:conf/iat/EbadiPP08 fatcat:63kzew2yyvfmvp22tn2xd5ttvy

Modeling the Influence of Multiple Social Groups on Agents Behavior

Reza Hesan, Amineh Ghorbani, Virginia Dignum
2014 European Conference on Social Intelligence  
In this paper we explain how group behaviors can be considered in agent-based models, and how the agents can use such behaviors in their decision making process.  ...  Since group behaviors are the aggregation of individual behaviours, they are mostly neglected in agents' decision making process mainly because in agent-based models, the focus is on interactions and individuals  ...  In agent-based models, the agents and their interaction determine the behavior of the system [4] .  ... 
dblp:conf/ecsi/HesanGD14 fatcat:jgsvuo5xqnfd7c3oy4rowr6gry

Adapting sentiment analysis to face-to-face human-agent interactions: From the detection to the evaluation issues

Caroline Langlet, Chloe Clavel
2015 2015 International Conference on Affective Computing and Intelligent Interaction (ACII)  
This paper introduces a sentiment analysis method suitable to the human-agent and face-to-face interactions.  ...  We present the positioning of our system and its evaluation protocol according to the existing sentiment analysis literature and detail how the proposed system integrates the human-agent interaction issues  ...  ACKNOWLEDGMENT The authors would like to thank Florian Pecune for Heider's balance theory. This work has been supported by the european 978-1-4799-9953-8/15/$31.00 ©2015 IEEE  ... 
doi:10.1109/acii.2015.7344545 dblp:conf/acii/LangletC15 fatcat:i637gz3wizhb3aagoe4siu6ueq

An Intelligent Anti-Jamming Mechanism against Rule-based Jammer in Cognitive Radio Network

Sudha Y, Sarasvathi V
2022 International Journal of Advanced Computer Science and Applications  
Secondly, an intelligent agent is designed based on a model-free off-policy algorithm that operates over the same spectrum band.  ...  The proposed anti-jamming mechanism is modeled in two phases of implementation.  ...  The proposed system constructs a condition for a jamming attack towards the ongoing communication.  ... 
doi:10.14569/ijacsa.2022.0130328 fatcat:2oxgsh63kza7tfpt6tj54qfqrm

Self-organized supply chain networks: Theory in practice and an analog simulation based approach

K. R. Anne, S. K. Bhagavatula, J. C. Chedjou, K. Kyamakya
2008 Proceedings of the 2nd International ICST Conference on Autonomic Computing and Communication Systems  
In this paper, we describe the pre-requisites for the selforganization of a SCN. This paper also proposes a nonlinear model for the SCN.  ...  The major contribution is towards the analog simulation of the supply chain model in consideration using the cellular neural networks (CNN).  ...  Multi agent based modeling offers a way to elaborate the supply chain as the agents are autonomous and the agent rules can be defined in advance.  ... 
doi:10.4108/icst.autonomics2008.4672 dblp:conf/autonomics/AnneBCK08 fatcat:nkohpziyy5fmjkmx7lkrshciru

Distributed Artificial Intelligence with Multi-Agent Systems for MEC

Teemu Leppanen
2019 2019 28th International Conference on Computer Communication and Networks (ICCCN)  
In this paper, the Multi-access Edge Computing (MEC) system architecture, as defined by the ETSI standards, is modeled as a multi-agent system.  ...  Lastly, a case study is presented on how to integrate an existing Internet of Things agent framework and agent-based edge application seamlessly to the MEC system.  ...  Agent-based MEC system architecture Next, we outline the MEC reference system architecture based on a MAS, where the system components are modeled as software agents.  ... 
doi:10.1109/icccn.2019.8846960 dblp:conf/icccn/Leppanen19 fatcat:x4tpxgwbrfdzxdswjxjmfywylq

Effects of communication and utility-based decision making in a simple model of evacuation

M. Smyrnakis, T. Galla
2012 European Physical Journal B : Condensed Matter Physics  
We show that under a wider range of evacuation scenarios performance of the model system as a whole is optimal at an intermediate fraction of evacuees with access to communication.  ...  We present a simple cellular automaton based model of decision making during evacuation. Evacuees have to choose between two different exit routes, resulting in a strategic decision making problem.  ...  This can refer to the transport in biological systems, for example intracellular transport of molecules, signal transduction or models of DNA transcription and translation.  ... 
doi:10.1140/epjb/e2012-30312-y fatcat:dtqueuq2dvherkulinvil2rj4u

Towards an Agent-Based Proxemic Model for Pedestrian and Group Dynamic

Lorenza Manenti, Sara Manzoni, Giuseppe Vizzari, Kazumichi Ohtsuka, Kenichiro Shimura
2010 Workshop From Objects to Agents  
On the other hand, the paper will briefly describe the first steps towards the definition of an agentbased model encapsulating in the pedestrian's behavioural model effects capturing both proxemics and  ...  Models for the simulation of pedestrian dynamics and crowds of pedestrians have already been successfully applied to several scenarios and case studies, off-the-shelf simulators can be found on the market  ...  Nabeel Koshak for his expertise on the Hajj pilgrimage description and on the requirements for second generation modeling and simulation systems; the authors would also thank Prof.  ... 
dblp:conf/woa/ManentiMVOS10 fatcat:cy6qkgrbw5eprg7wgfrkjuqz4e

Towards an ontological foundation of agent-based simulation

Giancarlo Guizzardi, Gerd Wagner
2011 Proceedings of the 2011 Winter Simulation Conference (WSC)  
A simulation model is intended to capture a real-world system.  ...  In this paper, we propose to use ABDESO, a foundational ontology for agent-based discrete event simulation, for evaluating agent-based simulation languages. 4 SUMMARY OF UFO AND DESO Since the development  ...  In order for an ABS model M to faithfully represent an agent-based discrete event system abstraction A, the simulation language L used to make M should faithfully represent the conceptualization of agent-based  ... 
doi:10.1109/wsc.2011.6147757 dblp:conf/wsc/GuizzardiW11 fatcat:e3a7l7pzorgshj5i7wrtwfgf54

Heterogeneous sensitive ant model for combinatorial optimization

Camelia Chira, D. Dumitrescu, Camelia M. Pintea
2008 Proceedings of the 10th annual conference on Genetic and evolutionary computation - GECCO '08  
A new metaheuristic called Sensitive Ant Model (SAM) for solving combinatorial optimization problems is proposed.  ...  Agents with low sensitivity are biased towards random search inducing diversity for exploration of the environment.  ...  Numerical results indicate that the proposed SAM algorithm outperforms the classic ACS model suggesting a promising potential for heterogeneous ant-based models.  ... 
doi:10.1145/1389095.1389120 dblp:conf/gecco/ChiraDP08 fatcat:tjyhue4hrfc7fjhyk65v4bwfnm
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