Pub Date : 2014-01-01DOI: 10.4018/ijats.2014010104
Xinjun Mao, Menggao Dong, Haibin Zhu
Development of self-adaptive systems situated in open and uncertain environments is a great challenge in the community of software engineering due to the unpredictability of environment changes and the variety of self-adaptation manners. Explicit specification of expected changes and various self-adaptations at design-time, an approach often adopted by developers, seems ineffective. This paper presents an agent-based approach that combines two-layer self-adaptation mechanisms and reinforcement learning together to support the development and running of self-adaptive systems. The approach takes self-adaptive systems as multi-agent organizations and enables the agent itself to make decisions on self-adaptation by learning at run-time and at different levels. The proposed self-adaptation mechanisms that are based on organization metaphors enable self-adaptation at two layers: fine-grain behavior level and coarse-grain organization level. Corresponding reinforcement learning algorithms on self-adaptation are designed and integrated with the two-layer self-adaptation mechanisms. This paper further details developmental technologies, based on the above approach, in establishing self-adaptive systems, including extended software architecture for self-adaptation, an implementation framework, and a development process. A case study and experiment evaluations are conducted to illustrate the effectiveness of the proposed approach.
{"title":"A Two-Layer Approach to Developing Self-Adaptive Multi-Agent Systems in Open Environment","authors":"Xinjun Mao, Menggao Dong, Haibin Zhu","doi":"10.4018/ijats.2014010104","DOIUrl":"https://doi.org/10.4018/ijats.2014010104","url":null,"abstract":"Development of self-adaptive systems situated in open and uncertain environments is a great challenge in the community of software engineering due to the unpredictability of environment changes and the variety of self-adaptation manners. Explicit specification of expected changes and various self-adaptations at design-time, an approach often adopted by developers, seems ineffective. This paper presents an agent-based approach that combines two-layer self-adaptation mechanisms and reinforcement learning together to support the development and running of self-adaptive systems. The approach takes self-adaptive systems as multi-agent organizations and enables the agent itself to make decisions on self-adaptation by learning at run-time and at different levels. The proposed self-adaptation mechanisms that are based on organization metaphors enable self-adaptation at two layers: fine-grain behavior level and coarse-grain organization level. Corresponding reinforcement learning algorithms on self-adaptation are designed and integrated with the two-layer self-adaptation mechanisms. This paper further details developmental technologies, based on the above approach, in establishing self-adaptive systems, including extended software architecture for self-adaptation, an implementation framework, and a development process. A case study and experiment evaluations are conducted to illustrate the effectiveness of the proposed approach.","PeriodicalId":93648,"journal":{"name":"International journal of agent technologies and systems","volume":"16 1","pages":"65-85"},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89613768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-01-01DOI: 10.4018/ijats.2014010101
L. Bokor, J. Kovács, C. Szabó
The currently standardized IP Flow Mobility IFOM solution in 3GPP is strictly User Equipment UE centric as the operator must firstly deliver the flow routing policies to the UE, and then the UE must provide these policies to the Packet Data Network Gateway PGW. Network-based NB solutions try to eliminate the above limitations and create an operator centric flow management framework. This paper is committed to give an overview of existing offloading techniques, to introduce the power of network-based solutions, and to propose a MIPv6/DSMIPv6 based NB-IFOM scheme relying on Home Agent initiated flow binding and aiming to enable operators to enforce IP flow routing policies without involving the UE first, such making able the PCRF Policy and Charging Rules Function to decide on the flow routing policy based on e.g., the available resources in the network, before signaling the policies to the UE. The authors have implemented their proposal, and performed an extensive evaluation in a hybrid real-emulated tested environment.
目前标准化的3GPP IP Flow Mobility IFOM解决方案严格以用户设备终端为中心，运营商必须先将流量路由策略下发到终端，终端再将这些策略提供给分组数据网关PGW。基于网络的NB解决方案试图消除上述限制，并创建一个以运营商为中心的流量管理框架。本文概述了现有的卸载技术，介绍了基于网络的解决方案的力量，并提出了一种基于MIPv6/DSMIPv6的NB-IFOM方案，该方案依赖于Home Agent发起的流绑定，旨在使运营商能够在不首先涉及UE的情况下执行IP流路由策略，从而使PCRF策略和收费规则功能能够根据例如网络中的可用资源来决定流路由策略。在向终端发送策略信令之前。作者已经实现了他们的建议，并在一个混合的真实模拟测试环境中进行了广泛的评估。
{"title":"A Home Agent Initiated Handover Solution for Fine-Grained Offloading in Future Mobile Internet Architectures: Survey and Experimental Evaluation","authors":"L. Bokor, J. Kovács, C. Szabó","doi":"10.4018/ijats.2014010101","DOIUrl":"https://doi.org/10.4018/ijats.2014010101","url":null,"abstract":"The currently standardized IP Flow Mobility IFOM solution in 3GPP is strictly User Equipment UE centric as the operator must firstly deliver the flow routing policies to the UE, and then the UE must provide these policies to the Packet Data Network Gateway PGW. Network-based NB solutions try to eliminate the above limitations and create an operator centric flow management framework. This paper is committed to give an overview of existing offloading techniques, to introduce the power of network-based solutions, and to propose a MIPv6/DSMIPv6 based NB-IFOM scheme relying on Home Agent initiated flow binding and aiming to enable operators to enforce IP flow routing policies without involving the UE first, such making able the PCRF Policy and Charging Rules Function to decide on the flow routing policy based on e.g., the available resources in the network, before signaling the policies to the UE. The authors have implemented their proposal, and performed an extensive evaluation in a hybrid real-emulated tested environment.","PeriodicalId":93648,"journal":{"name":"International journal of agent technologies and systems","volume":"23 1","pages":"1-27"},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86554685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-01-01DOI: 10.4018/ijats.2014010102
Khaoula Mahmoudi, Sami Faïz
Geographically referenced information are captured, managed, analyzed and displayed by the geographic information system GIS. This information will help to better understand and analyze a host of human activities in an attempt to reach a more sustainable future. Moreover, these information are sometimes hardly available due to the cost entailed by the acquisition process and the maintenance. Hence, efforts are devoted to bring the interesting information with less cost. In this context, the authors propose an approach dedicated to the enrichment of the semantic aspect of geographic database GDB. The approach emerges from the agents' interaction in conformity with the multi-agents framework. It deals with an Interface agent, Task agents and Geographic ones. These agents are to process a corpus of documents related to the geographic entity at hand. This processing consists of extracting the essence of information from the managed corpus to enrich the GDB. These agents follow a pipelined approach consisting of the following stages: text fragmentation, thematic annotation, delegation and text filtering. Besides these basic stages, a refinement is to be performed in case of user unsatisfaction and this by exploring the spatial relationships.
{"title":"From Text to Semantic Geodata Enrichment","authors":"Khaoula Mahmoudi, Sami Faïz","doi":"10.4018/ijats.2014010102","DOIUrl":"https://doi.org/10.4018/ijats.2014010102","url":null,"abstract":"Geographically referenced information are captured, managed, analyzed and displayed by the geographic information system GIS. This information will help to better understand and analyze a host of human activities in an attempt to reach a more sustainable future. Moreover, these information are sometimes hardly available due to the cost entailed by the acquisition process and the maintenance. Hence, efforts are devoted to bring the interesting information with less cost. In this context, the authors propose an approach dedicated to the enrichment of the semantic aspect of geographic database GDB. The approach emerges from the agents' interaction in conformity with the multi-agents framework. It deals with an Interface agent, Task agents and Geographic ones. These agents are to process a corpus of documents related to the geographic entity at hand. This processing consists of extracting the essence of information from the managed corpus to enrich the GDB. These agents follow a pipelined approach consisting of the following stages: text fragmentation, thematic annotation, delegation and text filtering. Besides these basic stages, a refinement is to be performed in case of user unsatisfaction and this by exploring the spatial relationships.","PeriodicalId":93648,"journal":{"name":"International journal of agent technologies and systems","volume":"41 1","pages":"28-44"},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74815794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-10-01DOI: 10.4018/ijats.2013100102
Sami A. M. Al-Radaei, R. B. Mishra
E-learning has become an alternative solution for the traditional learning. There is a need to manage the learning materials in e-learning environments in order to deliver it to learners according to their requirements. Semantic Web Services SWS aim at developing a machine understandable and common conceptual framework which share and accumulate concepts from different web service resources to meet a particular objective in question. Different SWS composition methods have been developed for different purposes and objectives. In this paper we have developed an Agent-based SWS composition method using two sets of agents i.e. Service Requester Agent SRA and Service Provider Agent SPA to represent the user's side and the solution side respectively for the problem of a course composition in e-learning systems. The SRA corresponds to requirements of different ebook/chapter and the SPA corresponds to books containing the relevant and required chapters in courseware. The course composition is primarily based on the important and relevant prime keywords in a courseware. Learning materials and other actors are described semantically in form of ontologies. Also, we present the use of reasoning rule to infer different relations between Agents, ebook/chapter and other actors in the proposed model.
{"title":"Multi-Agent Paradigm for Semantic Web Service in E-learning System","authors":"Sami A. M. Al-Radaei, R. B. Mishra","doi":"10.4018/ijats.2013100102","DOIUrl":"https://doi.org/10.4018/ijats.2013100102","url":null,"abstract":"E-learning has become an alternative solution for the traditional learning. There is a need to manage the learning materials in e-learning environments in order to deliver it to learners according to their requirements. Semantic Web Services SWS aim at developing a machine understandable and common conceptual framework which share and accumulate concepts from different web service resources to meet a particular objective in question. Different SWS composition methods have been developed for different purposes and objectives. In this paper we have developed an Agent-based SWS composition method using two sets of agents i.e. Service Requester Agent SRA and Service Provider Agent SPA to represent the user's side and the solution side respectively for the problem of a course composition in e-learning systems. The SRA corresponds to requirements of different ebook/chapter and the SPA corresponds to books containing the relevant and required chapters in courseware. The course composition is primarily based on the important and relevant prime keywords in a courseware. Learning materials and other actors are described semantically in form of ontologies. Also, we present the use of reasoning rule to infer different relations between Agents, ebook/chapter and other actors in the proposed model.","PeriodicalId":93648,"journal":{"name":"International journal of agent technologies and systems","volume":"3 1","pages":"20-43"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81516778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-10-01DOI: 10.4018/ijats.2013100101
Xin Zhang, Chanaka Edirisinghe
This paper examines the correlation between the relative financial strength of public firms and their stock price performance. By using financial information obtained from the firms' publicly available financial statement as inputs and outputs in Data Envelopment Analysis CCR model, a relative financial strength of a firm is determined relative to other competing firms operating in the same market segment. The aim here is to verify if such a strength index can be strongly positively correlated with the stock market returns, and to develop statistical tests that are necessary to establish the significance of that correlation. We present preliminary computational testing of the strength index with stocks from various industries and report the correlation analyses to support the validity of the approach. Based on the correlation, a well-informed assessment can be made for stock selection in investment portfolios.
{"title":"Discovering the Relationship Between DEA-Based Relative Financial Strength and Stock Price Performance","authors":"Xin Zhang, Chanaka Edirisinghe","doi":"10.4018/ijats.2013100101","DOIUrl":"https://doi.org/10.4018/ijats.2013100101","url":null,"abstract":"This paper examines the correlation between the relative financial strength of public firms and their stock price performance. By using financial information obtained from the firms' publicly available financial statement as inputs and outputs in Data Envelopment Analysis CCR model, a relative financial strength of a firm is determined relative to other competing firms operating in the same market segment. The aim here is to verify if such a strength index can be strongly positively correlated with the stock market returns, and to develop statistical tests that are necessary to establish the significance of that correlation. We present preliminary computational testing of the strength index with stocks from various industries and report the correlation analyses to support the validity of the approach. Based on the correlation, a well-informed assessment can be made for stock selection in investment portfolios.","PeriodicalId":93648,"journal":{"name":"International journal of agent technologies and systems","volume":"46 1","pages":"1-19"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82358262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-10-01DOI: 10.4018/ijats.2013100104
Tagelsir Mohamed Gasmelseid
Software agents' technology provides a variety of decision support tools for the improvement of emergency response processes. It improves information availability, automates tasks and enhances information accessibility and sharing. However, due to the heterogeneity of emergency response data and the diversity of stakeholders and accordingly their objectives, the identification and management of cross cutting concerns is looming very big. Over time, some software agent engineering methodologies are being used for the crystallization of cross cutting concerns and information requirements. This paper examines the limitations of such methodologies and proposes the use of system innovation concepts for the management of stakeholder concerns in the emergency response management system in Al Ahsaa area.
{"title":"Managing Stakeholder Concerns in Large-Scale Multi-Agent Information Systems","authors":"Tagelsir Mohamed Gasmelseid","doi":"10.4018/ijats.2013100104","DOIUrl":"https://doi.org/10.4018/ijats.2013100104","url":null,"abstract":"Software agents' technology provides a variety of decision support tools for the improvement of emergency response processes. It improves information availability, automates tasks and enhances information accessibility and sharing. However, due to the heterogeneity of emergency response data and the diversity of stakeholders and accordingly their objectives, the identification and management of cross cutting concerns is looming very big. Over time, some software agent engineering methodologies are being used for the crystallization of cross cutting concerns and information requirements. This paper examines the limitations of such methodologies and proposes the use of system innovation concepts for the management of stakeholder concerns in the emergency response management system in Al Ahsaa area.","PeriodicalId":93648,"journal":{"name":"International journal of agent technologies and systems","volume":"118 1","pages":"68-86"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89481363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-07-01DOI: 10.4018/ijats.2013070102
Lizhu Ma, Xin Zhang
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.
{"title":"Hierarchical Social Network Analysis Using a Multi-Agent System: A School System Case","authors":"Lizhu Ma, Xin Zhang","doi":"10.4018/ijats.2013070102","DOIUrl":"https://doi.org/10.4018/ijats.2013070102","url":null,"abstract":"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.","PeriodicalId":93648,"journal":{"name":"International journal of agent technologies and systems","volume":"4 1","pages":"14-32"},"PeriodicalIF":0.0,"publicationDate":"2013-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88840046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-07-01DOI: 10.4018/ijats.2013070101
Alexander G. Madey
Unmanned aerial vehicles UAVs are being widely used for both military and civilian purposes. The advent of smaller, lighter, less expensive UAVs opens opportunities to deploy a large number of small, semi-autonomous UAVs in a cohesive group or "swarm". Swarms offer numerous advantages over single UAVs, such as higher coverage, redundancy in numbers and reduced long-range bandwidth requirements. Engineering a swarm requires designing the swarming behavior and finding effective ways to control the behavior so that the swarm can be directed to complete its mission. This paper presents an approach to developing UAV swarming behaviors and command and control C2 strategies to govern them. The agent-based modeling toolkit NetLogo is used to create two mission types: contaminant plume mapping and vessel tracking. Performance metrics are used to evaluate success as parameters are changed. This research demonstrates the potential usefulness of agent-based modeling in the engineering of UAV swarms.
{"title":"Unmanned Aerial Vehicle Swarms: The Design and Evaluation of Command and Control Strategies using Agent-Based Modeling","authors":"Alexander G. Madey","doi":"10.4018/ijats.2013070101","DOIUrl":"https://doi.org/10.4018/ijats.2013070101","url":null,"abstract":"Unmanned aerial vehicles UAVs are being widely used for both military and civilian purposes. The advent of smaller, lighter, less expensive UAVs opens opportunities to deploy a large number of small, semi-autonomous UAVs in a cohesive group or \"swarm\". Swarms offer numerous advantages over single UAVs, such as higher coverage, redundancy in numbers and reduced long-range bandwidth requirements. Engineering a swarm requires designing the swarming behavior and finding effective ways to control the behavior so that the swarm can be directed to complete its mission. This paper presents an approach to developing UAV swarming behaviors and command and control C2 strategies to govern them. The agent-based modeling toolkit NetLogo is used to create two mission types: contaminant plume mapping and vessel tracking. Performance metrics are used to evaluate success as parameters are changed. This research demonstrates the potential usefulness of agent-based modeling in the engineering of UAV swarms.","PeriodicalId":93648,"journal":{"name":"International journal of agent technologies and systems","volume":"73 1","pages":"1-13"},"PeriodicalIF":0.0,"publicationDate":"2013-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80891352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The purpose of this article is to propose a simulation framework combining Soft-System Methodology, System Dynamics, and the Cognitive Affective Personality System model, to facilitate the design and development of agents (e.g., agent based models, software agents) with interacting affective and cognitive units. A review of the literature supports the building of a third-order positive causal-loop model between the constructs Affectivity, Self-Efficacy, and Perceived Task Complexity. The model is evaluated to exemplify the use of this framework to study affective states in simulated agents. The behavior of the model is consistent with previous research, corroborating its utility as a tool for endowing complex agents in simulations with mechanisms of human affectivity, and as a computational artifact to develop affective computing systems. The framework, incorporating soft-constructs into simulation models and supporting the study of their process-based (dynamic) interactions, serves to bridge the gap between experimental and simulation research. The limitations of the approach and directions for future research are also discussed. Dynamics of Affect and Cognition in Simulated Agents: Bridging the Gap between Experimental and Simulation Research
{"title":"Dynamics of Affect and Cognition in Simulated Agents: Bridging the Gap between Experimental and Simulation Research","authors":"Rubén Mancha, C. Yoder, J. Clark","doi":"10.4018/jats.2013040104","DOIUrl":"https://doi.org/10.4018/jats.2013040104","url":null,"abstract":"The purpose of this article is to propose a simulation framework combining Soft-System Methodology, System Dynamics, and the Cognitive Affective Personality System model, to facilitate the design and development of agents (e.g., agent based models, software agents) with interacting affective and cognitive units. A review of the literature supports the building of a third-order positive causal-loop model between the constructs Affectivity, Self-Efficacy, and Perceived Task Complexity. The model is evaluated to exemplify the use of this framework to study affective states in simulated agents. The behavior of the model is consistent with previous research, corroborating its utility as a tool for endowing complex agents in simulations with mechanisms of human affectivity, and as a computational artifact to develop affective computing systems. The framework, incorporating soft-constructs into simulation models and supporting the study of their process-based (dynamic) interactions, serves to bridge the gap between experimental and simulation research. The limitations of the approach and directions for future research are also discussed. Dynamics of Affect and Cognition in Simulated Agents: Bridging the Gap between Experimental and Simulation Research","PeriodicalId":93648,"journal":{"name":"International journal of agent technologies and systems","volume":"61 1","pages":"78-96"},"PeriodicalIF":0.0,"publicationDate":"2013-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75825935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.
{"title":"A Collaborative Multi-Agent Framework for Internet-Based Teleoperation Systems","authors":"N. Cheaib, S. Otmane, M. Mallem","doi":"10.4018/jats.2013040102","DOIUrl":"https://doi.org/10.4018/jats.2013040102","url":null,"abstract":"HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.","PeriodicalId":93648,"journal":{"name":"International journal of agent technologies and systems","volume":"74 1","pages":"31-54"},"PeriodicalIF":0.0,"publicationDate":"2013-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86362372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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