2012 IEEE 24th International Conference on Tools with Artificial Intelligence最新文献_第3页

Another Step toward Reusability in Agent-Based Simulation: Multi-behaviors & aMVC 在基于agent的仿真中迈向可重用性的又一步:多行为aMVC

2012 IEEE 24th International Conference on Tools with Artificial Intelligence Pub Date : 2012-11-07 DOI: 10.1109/ICTAI.2012.158

Yassine Gangat, D. Payet, R. Courdier

{"title":"Another Step toward Reusability in Agent-Based Simulation: Multi-behaviors & aMVC","authors":"Yassine Gangat, D. Payet, R. Courdier","doi":"10.1109/ICTAI.2012.158","DOIUrl":"https://doi.org/10.1109/ICTAI.2012.158","url":null,"abstract":"The multi-agent systems are successfully used in modeling of dynamic complex systems, and simulations of these models reinforce the knowledge of experts and even allow them to explore new horizons or to cross boundaries. This is the reason why the models being tackled are increasingly varied, and as one goes along with experimentations, these models are completed, intercrossed. Consequently they become increasingly complex. In our previous work, we proposed a first modeling approach to support this complexity increase: the Dynamic-Oriented Modeling (DOM). The application of this approach can effectively support the increase of the model. This increase applies to both agents and environments. This DOM approach tackles the problem of the latter by splitting in multiple parts. But if DOM led to organize properly the multiple environments that come into play, little support is provided to organize and manage the increasing complexity of the agents themselves. Inevitably, when we reach a quite advanced stage of evolution of the model, the agents eventually reach a critical mass (either in formalization or code) that makes them more and more hard to comprehend. In this paper, we illustrate this phenomenon and show that it quickly takes the upper hand against the benefits of DOM, as it can eventually block the potential development, or even reuse, of the model. Then we explain that a solution to this \"side effect\" could structure the architecture of agents, a structure capable of maintaining readability and flexibility of the formalization of the agent throughout the growth process of the global model. We study a well known pattern in software engineering: the MVC pattern, which can be reused here to meet this objective. We will present in details how this pattern could be instantiated in the field of MAS architecture, and how, ultimately, it can be an effective new way to formalize agents in a method called Multi-Behaviors Modelization.","PeriodicalId":155588,"journal":{"name":"2012 IEEE 24th International Conference on Tools with Artificial Intelligence","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126877009","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

Web Image Organization and Object Discovery by Actively Creating Visual Clusters through Crowdsourcing 通过众包积极创建视觉集群的网络图像组织和对象发现

2012 IEEE 24th International Conference on Tools with Artificial Intelligence Pub Date : 2012-11-07 DOI: 10.1109/ICTAI.2012.64

Qi Chen, G. Wang, C. Tan

引用次数: 5

Modeling the Multihop Ridematching Problem with Time Windows and Solving It Using Genetic Algorithms 带时间窗的多跳乘车匹配问题建模及遗传算法求解

2012 IEEE 24th International Conference on Tools with Artificial Intelligence Pub Date : 2012-11-07 DOI: 10.1109/ICTAI.2012.21

Wesam Herbawi, M. Weber

引用次数: 22

DERMA/Care: An Advanced image-Processing Mobile Application for Monitoring Skin Cancer DERMA/Care:用于监测皮肤癌的高级图像处理移动应用程序

2012 IEEE 24th International Conference on Tools with Artificial Intelligence Pub Date : 2012-11-07 DOI: 10.1109/ICTAI.2012.180

A. Karargyris, O. Karargyris, A. Pantelopoulos

引用次数: 53

Online Complex Action Learning and User State Estimation for Adaptive Dialogue Systems 自适应对话系统的在线复杂动作学习和用户状态估计

2012 IEEE 24th International Conference on Tools with Artificial Intelligence Pub Date : 2012-11-07 DOI: 10.1109/ICTAI.2012.92

A. Papangelis, V. Karkaletsis, F. Makedon

{"title":"Online Complex Action Learning and User State Estimation for Adaptive Dialogue Systems","authors":"A. Papangelis, V. Karkaletsis, F. Makedon","doi":"10.1109/ICTAI.2012.92","DOIUrl":"https://doi.org/10.1109/ICTAI.2012.92","url":null,"abstract":"Dialogue Systems (DS) have been rapidly evolving during the last few years. In order for them to be able to adapt to their surroundings and to individual users, researchers have focused on adaptation techniques, giving rise to the field of Adaptive Dialogue Systems (ADS). One important sub field of ADS is learning what the system should say or do next. Most of the work done in this direction assumes the system performs simple actions, rather than behaviours described by sub-dialogues, i.e. complex actions. To this end we propose a novel online algorithm that ranks complex actions according to their performance and selects the top-k performing ones. To the best of our knowledge there is currently no work describing methods to learn policies for complex actions in an online fashion. We also propose an online algorithm able to estimate the effects of system actions on the user's state, in order to make more informed decisions about which action to take and guide the learning algorithm towards a desired final user state. Our results show that the proposed complex action learning algorithm outperforms simple Hierarchical Reinforcement Learning algorithms and that we are able to successfully estimate the effect an action will have on the user's state, using emotional states as a case study.","PeriodicalId":155588,"journal":{"name":"2012 IEEE 24th International Conference on Tools with Artificial Intelligence","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127733423","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: 7

Narrowing Extended Resolution 缩小扩展分辨率

2012 IEEE 24th International Conference on Tools with Artificial Intelligence Pub Date : 2012-11-07 DOI: 10.1109/ICTAI.2012.81

Nicolas Prcovic

引用次数: 0

A Cluster-Based Classifier Ensemble as an Alternative to the Nearest Neighbor Ensemble 基于聚类的分类器集成作为最近邻集成的替代方案

2012 IEEE 24th International Conference on Tools with Artificial Intelligence Pub Date : 2012-11-07 DOI: 10.1109/ICTAI.2012.156

A. Jurek, Y. Bi, Shengli Wu, C. Nugent

引用次数: 5

Local Search Based on Conflict Analysis for the Satisfiability Problem 基于冲突分析的局部搜索求解可满足性问题

2012 IEEE 24th International Conference on Tools with Artificial Intelligence Pub Date : 2012-11-07 DOI: 10.1109/ICTAI.2012.124

Djamal Habet, Donia Toumi

引用次数: 0

e-Care: Ontological Architecture for Telemonitoring and Alerts Detection 电子护理:远程监控和警报检测的本体体系结构

2012 IEEE 24th International Conference on Tools with Artificial Intelligence Pub Date : 2012-11-07 DOI: 10.1109/ICTAI.2012.183

A. Benyahia, A. Hajjam, V. Hilaire, M. Hajjam

引用次数: 11

Recognition of Activities of Daily Living 日常生活活动认知

2012 IEEE 24th International Conference on Tools with Artificial Intelligence Pub Date : 2012-11-07 DOI: 10.1109/ICTAI.2012.181

Konstantinos Avgerinakis, A. Briassouli, Y. Kompatsiaris

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引用次数: 7