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2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems最新文献

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Computational Analysis of Dynamic Logic GMTI Tracker 动态逻辑GMTI跟踪器的计算分析
2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems Pub Date : 2007-06-11 DOI: 10.1109/KIMAS.2007.369808
S. Streltsov, S. Petrov, I. Muchnik, L. Perlovsky, R. Deming
{"title":"Computational Analysis of Dynamic Logic GMTI Tracker","authors":"S. Streltsov, S. Petrov, I. Muchnik, L. Perlovsky, R. Deming","doi":"10.1109/KIMAS.2007.369808","DOIUrl":"https://doi.org/10.1109/KIMAS.2007.369808","url":null,"abstract":"The major computational challenge of multi-target tracking in clutter is solving the report-to-track association problem that has non-combinatorial complexity. Dynamic logic (DL) tracker performs data association without combinatorial complexity. The algorithm is designed for multi-target high-clutter scenarios in which combinatorial trackers have impractically high complexity. Thus, DL tracker can operate on GMTI data with low detection thresholds and detect very low signal tracks. This paper presents analysis of numerical performance of the dynamic logic tracker on a representative scenario","PeriodicalId":193808,"journal":{"name":"2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130575216","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}
引用次数: 3
Parameterizing Menu Based Natural Language Interfaces with Location Models 参数化菜单与位置模型的自然语言接口
2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems Pub Date : 2007-06-11 DOI: 10.1109/KIMAS.2007.369815
K. Neumeier, C. Thompson
{"title":"Parameterizing Menu Based Natural Language Interfaces with Location Models","authors":"K. Neumeier, C. Thompson","doi":"10.1109/KIMAS.2007.369815","DOIUrl":"https://doi.org/10.1109/KIMAS.2007.369815","url":null,"abstract":"Menu based natural language interfaces (MBNLI) use cascaded menus and completion dialogs to keep users from straying beyond the bounds of language coverage that an underlying target system can understand. Domain restricted English subsets can be parsed and translated into the native language of the underlying system, thus resulting in an effective means for humans to communicate with a computer. By acting as a sort of \"universal remote\" to many agents in a system, an MBNLI can enable a user to command and query these agents using natural language. This paper explores parameterizing an MBNLI grammar with a location model - a set of rules having to do with spatial information that can be reused across many agent systems and enables rapid development of MBNLI-equipped agent systems","PeriodicalId":193808,"journal":{"name":"2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121245678","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}
引用次数: 3
Assessing the transmission of Commanders Intent 评估指挥官意图的传递
2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems Pub Date : 2007-06-11 DOI: 10.1109/KIMAS.2007.369845
I. R. Whitworth, G. Hone, J. de Looy-Hyde
{"title":"Assessing the transmission of Commanders Intent","authors":"I. R. Whitworth, G. Hone, J. de Looy-Hyde","doi":"10.1109/KIMAS.2007.369845","DOIUrl":"https://doi.org/10.1109/KIMAS.2007.369845","url":null,"abstract":"For any military operation to succeed, it is essential that the intentions of the officer in command are accurately transmitted down through the command structure. These intentions should convey the commander's requirements for the proposed operation, and should include a statement of the purpose, and required outcome, of the activity about to be undertaken. If the intent is not transmitted accurately, the desired effect will probably not be achieved. This paper will describe a two-stage process directed at assessment of the transmission of commander's intent.","PeriodicalId":193808,"journal":{"name":"2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121391602","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}
引用次数: 1
Probability Based Optimal Algorithms for Multi-sensor Multi-target Detection 基于概率的多传感器多目标检测优化算法
2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems Pub Date : 2007-06-11 DOI: 10.1109/KIMAS.2007.369824
T. Rahul, K. Krishna, H. Hexmoor
{"title":"Probability Based Optimal Algorithms for Multi-sensor Multi-target Detection","authors":"T. Rahul, K. Krishna, H. Hexmoor","doi":"10.1109/KIMAS.2007.369824","DOIUrl":"https://doi.org/10.1109/KIMAS.2007.369824","url":null,"abstract":"The algorithm presented in this paper is designed to be used in automated multi-sensor surveillance systems which require observation of targets in a bounded area to optimize the performance of the system. There have been many approaches which deal with multi-sensor tracking and observation, but there haven't been many which deal purely with targets detections i.e. each target needs to only be detected once. The metric used to gauge the performance of the system is percentage of targets detected among those that enter the area. Targets enter the area through source points on the side of the area according to Poisson distribution, the rate of entry is constant for all sources. The algorithm presented here uses target arrival information, sensor positions to generate an optimal motion strategy for the multi-sensor system every T time-steps i.e. every T time-steps, the probability of finding undetected targets is estimated, the optimal sensor paths for the next T time-steps are calculated. The algorithm performs robustly and optimally detecting around 80% of the targets that enter the area","PeriodicalId":193808,"journal":{"name":"2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116258030","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}
引用次数: 1
Concepts for an Agent Based Visualization & Characterization Tool 基于智能体的可视化和表征工具的概念
2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems Pub Date : 2007-06-11 DOI: 10.1109/KIMAS.2007.369826
Robert S. Woodley, J. Gallimore
{"title":"Concepts for an Agent Based Visualization & Characterization Tool","authors":"Robert S. Woodley, J. Gallimore","doi":"10.1109/KIMAS.2007.369826","DOIUrl":"https://doi.org/10.1109/KIMAS.2007.369826","url":null,"abstract":"The overall goal of this research is to develop a tool for adapting visualizations based on the goals, performance of the user, and characterizing information and meta-information in a holistic manner to support decision making in a complex environment. Our system features such assets as state-of-the-art visualization formats, a unified architecture that incorporates the information and domain into the visualization decisions, and user interaction. The holistic analysis, visualization, & characterization assessment tool (HAVCAT) uses a holistic view of the information system in that not only can primary and secondary effects/relationships be found and displayed, but even tertiary, and possibly beyond. The intelligent agent structure that underlies the tool is able to search through, using semantic meanings, a myriad of possibilities that may benefit the user. The tool analyzes alternate configurations that the user may not even be aware are possible, propose visualizations which incorporate human interaction, characterize the data for adaptation purposes, and assess the effectiveness of each by testing against defined metrics","PeriodicalId":193808,"journal":{"name":"2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122081094","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}
引用次数: 0
Talk Between Two Agents by Semantcs Knowledgebase 基于语义知识库的智能体间对话
2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems Pub Date : 2007-06-11 DOI: 10.1109/KIMAS.2007.369816
S. Sugiyama
{"title":"Talk Between Two Agents by Semantcs Knowledgebase","authors":"S. Sugiyama","doi":"10.1109/KIMAS.2007.369816","DOIUrl":"https://doi.org/10.1109/KIMAS.2007.369816","url":null,"abstract":"A living creature's brain consists of neurons. The neurons are activated by a stimulation from an inside world of brain or a stimulation through five senses by an outside world in the nature. In this activation mechanism, we know that the neurons are trying to form a group of knowledge structure (knowledgebase) in order to get a suitable answer (output) to the stimulation (input) as noted in the paper KEVIAS2005, referring Sugiyama (2005). This group of knowledgebase can treat many kinds of things like \"Go\", \"Take\", \"See\", \"What\", etc. in a sentence of semantics, in a human case for instance. And we also know that a living creature can behave or talk with others by using these kinds of knowledgebase. In addition to this, we can say the following thing; a communication with others is possible to make when we use a same kind of the knowledgebase that consists of inside at each creatures or human's brain. So in this paper, with the information about these kinds of facts, here studies about two agents talk with knowledgebase method by introducing a new idea of fractured words in sentence. And the mechanisms are cleared up with reasons.","PeriodicalId":193808,"journal":{"name":"2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131609191","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}
引用次数: 0
Coordination Challenges and Issues in Stability, Security, Transition and Reconstruction (SSTR) and Cooperative Unmanned Aerial Vehicles 在稳定、安全、过渡和重建(SSTR)和无人机合作方面的协调挑战和问题
2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems Pub Date : 2007-06-11 DOI: 10.1109/KIMAS.2007.369848
Myriam Abramson, R. Mittu, Jean Berger
{"title":"Coordination Challenges and Issues in Stability, Security, Transition and Reconstruction (SSTR) and Cooperative Unmanned Aerial Vehicles","authors":"Myriam Abramson, R. Mittu, Jean Berger","doi":"10.1109/KIMAS.2007.369848","DOIUrl":"https://doi.org/10.1109/KIMAS.2007.369848","url":null,"abstract":"SSTR operations are becoming a priority for the Department of Defense (DoD) and are being given the same stature as the more traditional combat operations. The near-term goal of SSTR is to provide the local populace with security, restore essential services, and meet humanitarian needs, while in the longer term ensure a stable infrastructure. Large scale disasters are an example where SSTR operations can provide value. In such scenarios, local governments and non-governmental institutions are under great stress in order to respond in a timely manner to provide basic relief to the affected communities, and there may be outburst of aid from the local groups. All of this can lead to a less than desirable outcome if poorly coordinated! The use of unmanned aerial vehicles (UAVs) to support intelligence, surveillance and reconnaissance (ISR) is becoming increasingly important. These assets can enable the collection of needed information for the execution of a given set of tasks. In large scale operations, however, the ability for the UAVs to self-coordinate may be needed as it will be difficult for human operators to effectively control large teams of UAVs. This paper will begin by introducing some of the key aspects of multiagent coordination, with a focus on the operational challenges with regard to SSTR such as disaster management response as well as UAV coordination. We will then discuss the coordination challenges and gaps in order to motivate an adaptive, multiagent based approach to coordination as well as additional opportunities for research. We will conclude with a brief summary","PeriodicalId":193808,"journal":{"name":"2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems","volume":"193 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125736968","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}
引用次数: 3
Epistemic Belief Frames in Distributed Effects-based Reasoning 分布式效应推理中的认知信念框架
2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems Pub Date : 2007-06-11 DOI: 10.1109/KIMAS.2007.369783
E. Lindahl, Qiuming A. Zhu
{"title":"Epistemic Belief Frames in Distributed Effects-based Reasoning","authors":"E. Lindahl, Qiuming A. Zhu","doi":"10.1109/KIMAS.2007.369783","DOIUrl":"https://doi.org/10.1109/KIMAS.2007.369783","url":null,"abstract":"Negotiation of a consistent ontology and concept label set is a significant problem in multi-agent systems (MAS). Heterogeneous MAS may not be able to fully negotiate a normalized ontology and so dealing with paraconsistent ontologies may be required. A belief calculus provides operators capable of expressing and maintaining uncertainty in paraconsistent reasoning operations over a belief frame. Developing and limiting a belief frame with heterogeneous ontologies is a particular problem for distributed MAS reasoning about causal chains. We propose using a sorted logic for entailing and populating epistemic belief frames supporting a belief calculus for distributed MAS effects-based reasoning","PeriodicalId":193808,"journal":{"name":"2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132115052","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}
引用次数: 1
A Hybrid Cellular Inference Network for Multi-Agent System Organization 多智能体系统组织的混合元胞推理网络
2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems Pub Date : 2007-06-11 DOI: 10.1109/KIMAS.2007.369791
E. Lindahl, Qiuming A. Zhu
{"title":"A Hybrid Cellular Inference Network for Multi-Agent System Organization","authors":"E. Lindahl, Qiuming A. Zhu","doi":"10.1109/KIMAS.2007.369791","DOIUrl":"https://doi.org/10.1109/KIMAS.2007.369791","url":null,"abstract":"Multi-agent systems (MAS) must be able to ingest, correlate, and make decisions about disparate evidential sources. Our research on hybrid intrinsic cellular inference network (HICIN) provides a basis for developing reusable, partitionable, and distributable inference structures in an epistemic event-based space. The cellular regions of the inference space allow a gradation of belief measurements in a domain-specific hierarchy. Predicate annotations are encoded using WordNet-based ontology structure and standard synonym set labels, providing for disambiguation between subject domains while acting as a basis for domain specific partitioning of rule sets and belief regions.","PeriodicalId":193808,"journal":{"name":"2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116051524","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}
引用次数: 0
Towards Self-Adaptive Networking with Symbiotic Behaviors of Multi-Agents 基于多智能体共生行为的自适应网络
2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems Pub Date : 2007-06-11 DOI: 10.1109/KIMAS.2007.369793
P. Champrasert, J. Suzuki
{"title":"Towards Self-Adaptive Networking with Symbiotic Behaviors of Multi-Agents","authors":"P. Champrasert, J. Suzuki","doi":"10.1109/KIMAS.2007.369793","DOIUrl":"https://doi.org/10.1109/KIMAS.2007.369793","url":null,"abstract":"This paper describes a biologically-inspired architecture, called SymbioticSphere, which allows network systems to autonomously adapt to dynamic environmental changes. SymbioticSphere consists of two major system components: application services and middleware platforms. Each service and platform is designed as a biological entity and implements biological behaviors such as migration, replication, death and energy exchange. This paper describes how agents and platform behave and interact with each other. Simulation results show that services and platforms autonomously adapt to dynamic network conditions (e.g., user location, network traffic and resource availability) by invoking their behaviors suitable for the conditions. Simulation results also show that services and platforms autonomously behave in a symbiotic manner to pursue their mutual benefits (adaptability)","PeriodicalId":193808,"journal":{"name":"2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131777180","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}
引用次数: 1
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