{"title":"An Agent Based Voting System for E-Learning Course Selection Involving Complex Preferences","authors":"A. Aseere, D. Millard, E. Gerding","doi":"10.1109/WI-IAT.2011.238","DOIUrl":"https://doi.org/10.1109/WI-IAT.2011.238","url":null,"abstract":"A major potential of agent technologies is the ability to support personalized learning. This is a trend where students are taking more control of their learning in the form of personal choice over topics, activities and tools. In this context, in previous work we presented a multiagent system based on an iterative voting protocol where student agents could vote to decide which courses the university would be running, those courses with little to no interest would be cancelled. This work assumed that the preferences for different courses were independent, which is not always realistic. In this paper, we extend this work and consider complex preferences. In particular, we assume substitutable and complementary preferences between courses. We show that, by using an intelligent voting strategy which tries to predict the voting result, and takes into account the interdependencies between the courses can outperform more naive strategies.","PeriodicalId":128421,"journal":{"name":"2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology","volume":"27 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123077670","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}
{"title":"UPComp - A PHP Component for Recommendation Based on User Behaviour","authors":"Ladislav Peška, A. Eckhardt, P. Vojtás","doi":"10.1109/WI-IAT.2011.180","DOIUrl":"https://doi.org/10.1109/WI-IAT.2011.180","url":null,"abstract":"In this paper, we investigate the possibilities of interpreting user behaviour in order to learn his/her preferences. UP Comp, a PHP component enabling use of user preferences for recommendation, is described. UP Comp is a standalone component that can be integrated into any PHP web with only basic knowledge of PHP, HTML and SQL. The methods of user behaviour interpretation are evaluated on a real web shop with tourist trips using UP Comp.","PeriodicalId":128421,"journal":{"name":"2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121561386","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}
Bastin Tony Roy Savarimuthu, Rexy Arulanandam, S. Savarimuthu
{"title":"Emergence of a Sharing Norm in a Simulated Hunter-Gatherer Society","authors":"Bastin Tony Roy Savarimuthu, Rexy Arulanandam, S. Savarimuthu","doi":"10.1109/WI-IAT.2011.141","DOIUrl":"https://doi.org/10.1109/WI-IAT.2011.141","url":null,"abstract":"Sharing is a behaviour that is observed in humans and other primates. In this paper, our objective is to demonstrate how the norm of sharing changes based on environmental conditions. Using agent based modeling, we have simulated a hunter-gatherer society where the norms of the society are affected by changing environmental conditions. In particular, we demonstrate how norms might change in a society based on the changes to type of resources available in the society. We present several experiments that have been conducted on the emergence of the sharing norm and discuss the results obtained.","PeriodicalId":128421,"journal":{"name":"2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121602945","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}
Qiuyan Zhong, Xiaonan Zhang, Jiangnan Qiu, Gang Qu
{"title":"Technological Capability Enhancement Mechanism of Software Outsourcing Enterprises","authors":"Qiuyan Zhong, Xiaonan Zhang, Jiangnan Qiu, Gang Qu","doi":"10.1109/WI-IAT.2011.100","DOIUrl":"https://doi.org/10.1109/WI-IAT.2011.100","url":null,"abstract":"How to enhance technological capability of the software outsourcing enterprise is a focal issue in theory study and practice. According to the different executives of enterprise R & D investment, the paper builds the dynamics model of technological capability of software outsourcing enterprise, and verifies the rationality of the model by using vensim software with neusoft group data. Developing scenarios of enterprise technological capabilities of in-house research and technological cooperation research are discussed. The influence of R&D efficiency and government's indirect support on technological capability is analyzed. The research shows that the expansion of R&D investment, improving R & D efficiency and strengthening the intensity of tax incentives have a greater role in developing technological capability.","PeriodicalId":128421,"journal":{"name":"2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125530030","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}
{"title":"A Plan Based Coalition Formation Model for Multi-agent Systems","authors":"Souhila Arib, S. Aknine","doi":"10.1109/WI-IAT.2011.222","DOIUrl":"https://doi.org/10.1109/WI-IAT.2011.222","url":null,"abstract":"This article addresses the coalition formation problem in a multi-agent context where agents plan their activities dynamically and use these plans to coordinate their actions and form suitable coalitions. In most coalition formation methods, when negotiating their coalitions the agents focus mainly on the immediate tasks to be executed, in order to decide which coalitions to form. Agents relegate the negotiations of the coalitions for their subsequent tasks to later stages of the coordination process. This paper deals with this issue and proposes a new coalition formation model which is based on two principles:1) it uses the plans of the agents to guide the search for the coalitions to be formed and shows the significance of not only taking into account the immediate actions of the agents in the coalition formation process, 2) it analyzes the coalition proposals already suggested by other agents in order to derive their intentions and thus facilitate the negotiations fort he coalitions. First we analyse and develop the constraints that should be enforced on self-interested agents, in order to form suitable coalitions which guarantee significant solution concepts. Then we detail our coalition formation mechanism.","PeriodicalId":128421,"journal":{"name":"2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126330773","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}
P. V. Maanen, Francien Wisse, J. Diggelen, R. Beun
{"title":"Effects of Reliance Support on Team Performance by Advising and Adaptive Autonomy","authors":"P. V. Maanen, Francien Wisse, J. Diggelen, R. Beun","doi":"10.1109/WI-IAT.2011.117","DOIUrl":"https://doi.org/10.1109/WI-IAT.2011.117","url":null,"abstract":"Problems with estimating trust in information sources are common in time constraining and ambiguous situations and often lead to a decrease of team performance. Humans lack the resources to track the integrity of information and thus tend to over- or under-rely on advice from support systems. Two types of adaptive team support have been developed and evaluated that are intended to support human-computer teams in estimating trust appropriately and making appropriate reliance decisions thereof. The first adaptive system (graphical support) supports by communicating the estimated degree of over- or under-trust. The second system (adaptive autonomy) takes over a reliance decision when this estimation exceeds a certain threshold. The two types of support were implemented in a multi-agent environment where human operators and Unmanned Aerial Vehicles (UAVs) work together on a target classification task. We evaluated the two support types in terms of team performance, satisfaction and effectiveness and obtained promising results.","PeriodicalId":128421,"journal":{"name":"2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130236147","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}
{"title":"Coordination in Large Multiagent Reinforcement Learning Problems","authors":"Thomas Kemmerich, H. K. Büning","doi":"10.1109/WI-IAT.2011.44","DOIUrl":"https://doi.org/10.1109/WI-IAT.2011.44","url":null,"abstract":"Large distributed systems often require intelligent behavior. Although multiagent reinforcement learning can be applied to such systems, several yet unsolved challenges arise due to the large number of simultaneous learners. Among others, these include exponential growth of state-action spaces and coordination. In this work, we deal with these two issues. Therefore, we consider a subclass of stochastic games called cooperative sequential stage games. With the help of a stateless distributed learning algorithm we solve the problem of growing state-action spaces. Then, we present six different techniques to coordinate action selection during the learning process. We prove a property of the learning algorithm that helps to reduce computational costs of one technique. An experimental analysis in a distributed agent partitioning problem with hundreds of agents reveals that the proposed techniques can lead to higher quality solutions and increase convergence speed compared to the basic approach. Some techniques even outperform a state-of-the-art special purpose approach.","PeriodicalId":128421,"journal":{"name":"2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129503844","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}
{"title":"Relationships between Robot's Self-Disclosures and Human's Anxiety toward Robots","authors":"T. Nomura, Kayoko Kawakami","doi":"10.1109/WI-IAT.2011.17","DOIUrl":"https://doi.org/10.1109/WI-IAT.2011.17","url":null,"abstract":"The research aimed at investigating how self-disclosure of robots affects humans' anxiety and behaviors toward the robots. A psychological experiment (N = 39), comparing between the conditions of no-self-disclosure, positive self-disclosure, and negative self-disclosure from a small-sized humanoid robot, found that the subjects' anxiety toward communication capacity of robots was stable before/after positive self-disclosure from the robot although this anxiety increased under the other conditions. On the other hand, self-disclosure from the subjects was independent to the conditions of the robot's self-disclosure, and the subjects originally having hither anxiety toward discourse with robots before the interaction performed negative self-disclosure toward the robot.","PeriodicalId":128421,"journal":{"name":"2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123761512","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}
{"title":"A New Language Model Combining Single and Compound Terms","authors":"Arezki Hammache, R. Ahmed-Ouamer, M. Boughanem","doi":"10.1109/WI-IAT.2011.52","DOIUrl":"https://doi.org/10.1109/WI-IAT.2011.52","url":null,"abstract":"Most traditional information retrieval systems are based on single terms indexing. However, it is admitted that semantic content of a document (or a query) cannot be accurately captured by a simple set of independent keywords. Although, several works have incorporated phrases or other syntactic information in IR, such attempts have shown slight benefit, at best. Particularly in language modeling approaches this is achieved through the use of the big ram or n-gram models. However, in these models all big rams/n-grams are considered and weighted uniformly. In this paper we introduce a new approach to weight and consider only certain types of N-grams \"compound terms\". Experimental results on three test collections showed an improvement.","PeriodicalId":128421,"journal":{"name":"2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122180998","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}
{"title":"Multi-agent Architecture for Heterogeneous Reasoning under Uncertainty Combining MSBN and Ontologies in Distributed Network Diagnosis","authors":"Álvaro Carrera, C. Iglesias","doi":"10.1109/WI-IAT.2011.106","DOIUrl":"https://doi.org/10.1109/WI-IAT.2011.106","url":null,"abstract":"This article proposes a MAS architecture for network diagnosis under uncertainty. Network diagnosis is divided into two inference processes: hypothesis generation and hypothesis confirmation. The first process is distributed among several agents based on a MSBN, while the second one is carried out by agents using semantic reasoning. A diagnosis ontology has been defined in order to combine both inference processes. To drive the deliberation process, dynamic data about the influence of observations are taken during diagnosis process. In order to achieve quick and reliable diagnoses, this influence is used to choose the best action to perform. This approach has been evaluated in a P2P video streaming scenario. Computational and time improvements are highlight as conclusions.","PeriodicalId":128421,"journal":{"name":"2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127174273","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}