Probabilistic Models, Multi-agent Systems & Natural Language 2015

Notes:

The vector space and probabilistic models are the two major examples of the statistical retrieval approach. Both models use statistical information in the form of term frequencies to determine the relevance of documents with respect to a query. Probabilistic models usually attempt to determine the relationship between a document and a query through a set of terms that are considered as features.

• Data-driven medicine
• Natural language processing models

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Probabilistic Models, Multi-agent Systems & Natural Language 2014

Smartphone intelligent applications: a brief review HF Rashvand, KF Hsiao – Multimedia Systems, 2015 – Springer … or medical shirt part of professional SF solutions or equally specialized investigation group-projects using multi-agent systems operated over the … The hierarchical modeling is based on common probabilistic models such as Bayesian network, dynamic Bayesian network, hidden … Cited by 9 Related articles All 4 versions

Exploiting Debate Portals for Semi-Supervised Argumentation Mining in User-Generated Web Discourse I Habernal, I Gurevych – … on Empirical Methods in Natural Language …, 2015 – Citeseer Page 1. Exploiting Debate Portals for Semi-Supervised Argumentation Mining in User-Generated Web Discourse Ivan Habernal† and Iryna Gurevych†‡ †Ubiquitous Knowledge Processing Lab (UKP-TUDA) Department of Computer … Cited by 13 Related articles All 10 versions

Modelling the persuadee in asymmetric argumentation dialogues for persuasion A Hunter – 24th International Joint Conference on Artificial …, 2015 – ijcai.org … getting arguments from the user as we are unable (in the short term) to build a system to automatically understand natural language arguments from … A probabilistic model of the opponent has been used in a di- alogue strategy allowing the selection of moves for an agent based … Cited by 11 Related articles All 6 versions

Effectively creating weakly labeled training examples via approximate domain knowledge S Natarajan, J Picado, T Khot, K Kersting, C Re… – Inductive Logic …, 2015 – Springer … One of the most important challenges facing many natural language tasks is the paucity … Since we use a probabilistic model to generate the weakly supervised examples, our training … empirical study of potential-based reward shaping and advice in complex, multi-agent systems. … Cited by 7 Related articles All 8 versions

Multi-mode Natural Language Processing for human-robot interaction J Xie, X Chen, J Ji – Web Intelligence, 2015 – content.iospress.com … Affiliations: Multi-Agent Systems Lab., University of Science and Technology of China, He Fei … is a linguistic formalism that provides a tight interface between natural language syntax and … This probabilistic model for semantic parsing over sentences/phrases could be learned from … Cited by 1 Related articles

A property-driven methodology for formal analysis of synthetic biology systems S Konur, M Gheorghe – IEEE/ACM Transactions on Computational …, 2015 – dl.acm.org … which enables an automated property construction process using natural language query (NLQ … eg concurrent [14] and distributed sys- tems [15], multi-agent systems [16], pervasive … Probabilistic model checking is a quantitative extension of classical model checking, which … Cited by 4 Related articles All 8 versions

Two complexities: The need to link complex thinking and complex adaptive systems science A Malaina – Emergence: Complexity and Organization, 2015 – search.proquest.com … science with its new methodologies of cellular automata, multi-agent systems, swarm intelligence … Its natural language cannot incorporate the positive contributions of these methodologies and that … the ultimate ideal of complexity, implicit in their probabilistic models, and defined … Cited by 2 Related articles All 2 versions

Coalgebraic Semantics of Reflexive Economics S Abramsky, A Kurz, P Lescanne, V Winschel – 2015 – pdfs.semanticscholar.org … games, econometrics and system theory, epistemic game theory and interactive learning in multi-agent systems. … on an abelian presheaf derived from the support of a probabilistic model, viewed as … possible to the high-level concepts in narrative and natural language economics … Cited by 1 Related articles All 3 versions

Maritime piracy situation modelling with dynamic Bayesian networks JJ Dabrowski, JP De Villiers – Information fusion, 2015 – Elsevier … Each vessel modelled by the DBN may be considered as an agent. Multi-agent systems have been applied in various fields. … Context-based information fusion has been applied to video indexing [34], computer vision [35] and natural language processing [36]. … Cited by 12 Related articles All 6 versions

Performance evaluation of the customer relationship management agent’s in a cognitive integrated management support system M Hernes – Transactions on Computational Collective Intelligence …, 2015 – Springer … It is proposed to build a multi-agent system that could integrate information systems to … In this approach, for example, the Vector Space Model, Probabilistic Model or Interface Network … symbols, namely assign relevant real world objects to specific symbols of the natural language. … Cited by 2 Related articles

The automatic summarization of text documents in the Cognitive Integrated Management Information System M Hernes, M Maleszka, NT Nguyen… – Computer Science …, 2015 – ieeexplore.ieee.org … In this approach, for example, the Vector Space Model, Probabilistic Model or Interface Network Model are … a summary in the form of a text in a natural language, which can … need to analyze the individual summaries and reflect on their choice – multi-agent system performs these … Cited by 4 Related articles All 3 versions

Learning linguistic constructions grounded in qualitative action models M Panzner, J Gaspers… – Robot and Human …, 2015 – ieeexplore.ieee.org … Our approach is based on an existing cognitive model [1] for the acquisition of syntactic constructions which learns from symbolic input, ie from natural language (NL) utterances … 3] T. Kwiatkowski, S. Goldwater, L. Zettlemoyer, and M. Steedman, “A probabilistic model of syntactic … Cited by 1 Related articles All 5 versions

Detecting tension in online communities with computational Twitter analysis P Burnap, OF Rana, N Avis, M Williams… – … Forecasting and Social …, 2015 – Elsevier … Given the organizational characteristics of social media updates (eg the 140 character length tweet) membership categorization analysis provides an empirically tested approach to the understanding of natural language practice, which relies on social explication and inter … Cited by 38 Related articles All 6 versions

Measuring emotions: A survey of cutting-edge methodologies used in computer-based learning environment research JM Harley – Emotions, Technology, Design, and Learning, 2015 – books.google.com … CBLEs (eg, multi-agent systems, intelligent tutoring systems, serious games) are used to help students 89 Emotions, Technology, Design, and … nature of many research groups that include expertise in psychology compu- tational linguistics and natural language processing. … Cited by 4 Related articles All 2 versions

Property-driven design for robot swarms: A design method based on prescriptive modeling and model checking M Brambilla, A Brutschy, M Dorigo… – ACM Transactions on …, 2015 – dl.acm.org … Given that robot swarms are charac- terized by uncertainty, the most natural choice is to use probabilistic model checking [Baier and Katoen 2008]. … In natural language, Property 2 can be expressed in this way: starting from a state in which the robot swarm is aggregated (Sa = N … Cited by 16 Related articles All 10 versions

Poetry generation with PoeTryMe HG Oliveira, A Cardoso – Computational Creativity Research: Towards …, 2015 – Springer … Stochastic language modelling: text is generated according to a learned probabilistic model. … describing the input semantics, and charts are used to generate natural language strings that … for this task including constraint programming [33], or a blackboard multi-agent system [26]. … Cited by 6 Related articles All 3 versions

A Multi-word-agent Autonomous Learning Model for Regulating Word Combination Strength J Yang, Y Guan, X Dong – International Journal of Multimedia and …, 2015 – sersc.org … Autonomy Oriented Computing (AOC) is a generic and formulated framework for modeling multi-agent systems [5]. Under the AOC framework, each agent is defined as a tuple comprising the state, evaluation function, goal, behaviors and behavior rules, and the environment is … Related articles All 2 versions

Prediction of Part of Speech Tags for Punjabi using Support Vector Machines D Kumar, G Josan – ccis2k.org … 2, pp. 132-143, 2012. [9] Laferty J., McCallum A., and Pereira F., “Conditional random fields: Probabilistic models for segmenting … Empirical methods in natural language processing, Philadelphia, PA, pp. … [15] Zribi C., Torjmen A., and Ahmed M., “A Multi- Agent System for POS … Related articles

Quality Control for Crowdsourced Hierarchical Classification N Otani, Y Baba, H Kashima – Data Mining (ICDM), 2015 IEEE …, 2015 – ieeexplore.ieee.org … of success [5], [6]. Our research focused on hierarchical classification, which has been applied to domains such as machine learning, natural language processing, and … proposed a probabilistic model to balance the output quality and cost by controlling queries to workers [18]. … Related articles All 2 versions

Introduction to Intelligent Decision Support Systems A Kaklauskas – Biometric and Intelligent Decision Making Support, 2015 – Springer … Foundational areas include knowledge representation, automated reasoning, probabilistic models, and machine learning. Application areas include planning, vision, robotics, speech, natural language processing, and multi-agent systems. … Related articles

Towards an Empathic Social Robot for Ambient Assisted Living. BN De Carolis, S Ferilli, G Palestra… – ESSEM@ …, 2015 – pdfs.semanticscholar.org … situations or with the smooth evolution of the user’s affective state over time), we employ probabilistic models to reason … Studies in natural language processing … enercities-2. In Proceedings of the 2014 international conference on Auton- omous agents and multi-agent systems (pp … Related articles All 4 versions

Effectively Creating Weakly Labeled Training Examples via Approximate Domain Knowledge C Re, J Shavlik – … 24th International Conference, ILP 2014, Nancy …, 2015 – books.google.com … Weak Supervision One of the most important challenges facing many natural language tasks is … Since we use a probabilistic model to generate the weakly supervised exam- ples, our … empirical study of potential-based reward shaping and advice in complex, multi-agent systems. … Related articles

International Journal Of Engineering Sciences & Research Technology A Hybrid Approach Of Active Learning Using Svm And … PK Dwivedi, MA Jain, MS Pal – ijesrt.com … Cooperative learning in multi-agent systems is generally expected to improve the quality and speed … Simple (Unsmoothed) N-grams Simple probabilistic model for predicting words can be assigned the … C., Farina, C., Bruce, T., & Wagner, E.“ Using natural language processing to … Related articles All 3 versions

A Survey on State-of-the-Art Knowledge-based System Development and Issues MM Umar, A Mehmood, H Song – academia.edu … VIBES) uses variational methods for learning a wide range of probabilistic models. … and control program,” 2011 7th International Conference on Natural Language Processing and … for open clouds VIA adaptive transport protocols at multi-agent systems (MASS),” International … Cited by 1 Related articles All 3 versions

Two complexities. A Malaina – Emergence: Complexity & Organization, 2015 – search.proquest.com … science with its new methodologies of cellular automata, multi-agent systems, swarm intelligence … Its natural language cannot incorporate the positive contributions of these methodologies and that … the ultimate ideal of complexity, implicit in their probabilistic models, and defined … Related articles All 2 versions

User Modeling Optimization for the Conversational Human-Machine Interfaces D Griol, JM Molina – 10th International Conference on Soft Computing …, 2015 – Springer … Multi-agent systems (MAs) are designed as a collection of interacting autonomous agents, each … functions of the Automatic Speech Recognizer (ASR) and the Natural Language Understanding (NLU … as a communication channel by means of a generative probabilistic model $$P(c … Related articles All 3 versions Research Statement: Theory and Data for Better Decisions N Mattei – nickmattei.net … We developed a system that automatically generates natural language explanations for Markov … International Joint Con- ference on Autonomous Agents and Multi-Agent Systems (AA- MAS … Behavioral Social Choice: Probabilistic Models, Statistical In- ference, and Applications. … Related articles All 3 versions Crowdsourcing for Argument Verification in Intelligence Analysis: A Position Paper A Toniolo, RW Ouyang, TJ Norman, M Srivastava – cgi.csc.liv.ac.uk … These factors may help us explore probabilistic models of aggregation of responses to systematically … F., Tintarev, N., Oren, N.: Formal arguments, preferences, and natural language interfaces to … of the 11th Workshop on Argumentation in Multi-Agent Systems (2014) 4. Ghosh, … Related articles Modeling and Simulating Empathic Behavior in Social Assistive Robots B De Carolis, S Ferilli, G Palestra… – Proceedings of the 11th …, 2015 – dl.acm.org … or with the smooth evolution of the user’s affective state over time), we employ probabilistic models to reason … Studies in natural language processing. … tutor in enercities-2. In Proceedings of the 2014 international conference on Autonomous agents and multi-agent systems (pp. … Related articles Surprise and human-agent interactions C Clavel – Review of Cognitive Linguistics, 2015 – ingentaconnect.com … 466 Chloé Clavel 2.2 Natural Language Processing for automatic detection of user’s attitude … (2007) which uses a probabilistic model for disambiguisation. … In Proceedings of the 2014 international conference on au- tonomous agents and multi-agent systems (pp. 93–100). … Cited by 2 Related articles All 3 versions Disambiguating word sentiment polarity through Bayesian modeling and opinion-level features Y Xia, H Zhao, E Cambria, A Hussain – sentic.net … Second, we explore probabilistic models, which have never been touched in word polarity … CD: The Affective Reasoner: A Process Model of Emotions in a Multi- Agent System. … analyzer: Extracting sentiments about a given topic using natural language processing techniques. … Related articles A Probabilistic BPMN Normal Form to Model and Advise Human Activities HG Ceballos, V Flores-Solorio, JP Garcia – … Multi-Agent Systems, 2015 – Springer … Engineering Multi-Agent Systems. … Intermediate event nodes (\(i \in N^I$$) are labeled with a natural language description that corresponds to the condition … The probabilistic model can be used with two purposes: (1) predicting the most plausible world, and (2) deciding between … Related articles All 2 versions

Modeling of Resilience Properties in Oscillatory Biological Systems Using Parametric Time Petri Nets A Andreychenko, M Magnin, K Inoue – International Conference on …, 2015 – Springer … For each property we give the natural language formulation first and then the … P., Mardare, R., Mura, I.: Analysing biochemical oscillation through probabilistic model checking. … In: Proceedings of the 2013 International Conference on Autonomous Agents and Multi-agent Systems. … Related articles All 2 versions

On the Application of Artificial Intelligence Techniques to Create Network Intelligence A Arsenio – Artificial Intelligence Applications in Information and …, 2015 – Springer … or probabilistic state machines, knowledge-based reasoning systems, natural language processing, graph … Multi-agent learning systems (eg MASBO—Multi-Agent System for Building Control [12 … Sensor Belief Network approach [17], based on probabilistic models of occupancy … Cited by 2 Related articles All 3 versions

VALFRAM: Validation Framework for Activity-based Models J Drchal, M Jakob – 2015 – agents.fel.cvut.cz … Transport systems modelled under this paradigm are implemented as multi-agent systems – ie, composed of autonomous entities termed agents situated in a shared environment which they perceive and act upon, in order to achieve their own goals. … Related articles

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Modeling believable agents using a descriptive approach T Harris, C Gittens – Biologically Inspired Cognitive Architectures, 2015 – Elsevier … Mateas and Stern (2002) presented the first published interactive drama system to entirely combine a number of autonomous agent designs into a single system, which included narrative and natural language processing components. … Related articles All 2 versions

NSF Sponsored Workshop: Research Issues at the Boundary of AI and Robotics N Amato, S Koenig, D Shell – robotics.cs.tamu.edu … AI techniques that stand to benefit robotics, for example, include search/planning, multi-agent systems and machine learning. However, there are entry barriers to collaborations among researchers of both research communities. … Related articles All 2 versions

Context-specific intention awareness through web query in robotic caregiving R Liu, X Zhang, J Webb, S Li – 2015 IEEE International …, 2015 – ieeexplore.ieee.org … in semantic texts of numerous webpages is acquired by a natural language processing (NLP … [16] OC Schrempf, D. Albrecht, UD Hanebeck, “Tractable probabilistic models for intention … recognition in virtual spatial environments,” Principles and Practice of Multi-Agent Systems, pp … Cited by 7 Related articles

Model-based Control and Learning in Physical Human-Robot Interaction JRM Hernández – 2015 – mediatum.ub.tum.de … 40 3.2 Learning Multi-modal Behavior with Parametric Time-based HMMs . . . . . 42 3.2.1 Parametric Time-based HMMs . . . . . 44 3.2.2 Motion and Natural Language Model . . . . . 46 3.2.3 Evaluation . . . . . …

Time-Sensitive Bayesian Information Aggregation for Crowdsourcing Systems M Venanzi, J Guiver, P Kohli, N Jennings – arXiv preprint arXiv: …, 2015 – arxiv.org … Also, all these methods can only learn their probabilistic models from the information contained in the judgment set. … We demonstrate the efficacy of our method using two commonly–used public datasets that relate to an important Natural Language Processing (NLP) application … Cited by 4 Related articles All 4 versions

Proposing Ties in a Dense Hypergraph of Academics A Gerow, B Lou, E Duede, J Evans – International Conference on Social …, 2015 – Springer … applications. 2 Background and Related Work Network analysis is a widely studied and increasingly important area of research in biology, economics, natural language processing, sociology and computer sci- ence [12,16,17,37]. In … Cited by 2 Related articles

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Reasoning about the impacts of information sharing Y Tang, F Cerutti, N Oren, C Bisdikian – Information Systems Frontiers, 2015 – Springer … research focuses on probabilistic argumentation; probabilistic task planning; and their applications in autonomous agents and multi-agent systems. … and journals in the context of argumentation- based reasoning, trust/reputation management, and natural language interfaces to … Cited by 3 Related articles All 7 versions

Behavioral Recognition and multi-target tracking in partially observed environments AF Tchango – 2015 – hal.archives-ouvertes.fr Page 1. Behavioral Recognition and multi-target tracking in partially observed environments Arsene Fansi Tchango To cite this version: Arsene Fansi Tchango. Behavioral Recognition and multi-target tracking in partially ob- served environments. Computer Science [cs]. … Related articles

Qualitative Stock Market Predicting with Common Knowledge Based Nature Language Processing: A Unified View and Procedure D Rao, F Deng, Z Jiang, G Zhao – Intelligent Human-Machine …, 2015 – ieeexplore.ieee.org … B. Common Knowledge In the latter half of the 20s century, people started to recognize the need to understand the roles that knowledge and belief played in multi-agent systems. … “Conditional Random Fields: Probabilistic models for segmenting and labeling sequence data,” In … Cited by 1 Related articles

Human behaviour recognition in data-scarce domains RH Baxter, NM Robertson, DM Lane – Pattern Recognition, 2015 – Elsevier … This paper proposes that there is a better way to use probabilistic models in data-scarce domains and is fundamentally grounded upon the idea of an … Links have also been drawn between activity recognition and natural language processing [12], although Nguyen et al. … Cited by 4 Related articles All 6 versions

Identifying Semantic in High-Dimensional Web Data Using Latent Semantic Manifold A Kumar, S Maskara, IJ Chiang – Journal of Data Analysis and Information …, 2015 – scirp.org … Abstract Latent Semantic Analysis involves natural language processing techniques for analyzing relation- ships between a set of documents and the terms they contain, by producing a set of concepts (re- lated to the documents and terms) called semantic topics. … Related articles All 3 versions

Towards a highly effective and robust Web credibility evaluation system X Liu, R Nielek, P Adamska, A Wierzbicki… – Decision Support …, 2015 – Elsevier … the data published by Wikimedia foundation as well as a simulated multi-agent system ( Section 5 … Machine learning and natural language processing are applied to analyze and integrate users’ reports … [9] estimates the reputation of an agent using a probabilistic model, ie, based … Cited by 3 Related articles All 6 versions

Learning Assistance by Demonstration: Smart Mobility With Shared Control and Paired Haptic Controllers H Soh, Y Demiris – Journal of Human-Robot Interaction, 2015 – hri-journal.org … London In this paper, we present a framework, probabilistic model, and algorithm for learning shared con- trol policies by observing an assistant. This … model. 4. An Online Probabilistic Model for Learning Shared Control We … Cited by 1 Related articles All 4 versions

Factors Influencing the Performance of Human Computation: An Empirical Study in Web Application Testing. TJ Lee, SS Tseng, CC Kung – J. Inf. Sci. Eng., 2015 – pdfs.semanticscholar.org … Human computation has won its reputation in solving a variety of problems, such as natural language processing [1], image annotation [2, 3], character re … The pro- posed probabilistic model considered variables of ESP games settings and assumed some human’s attributes. … Related articles All 4 versions

A computational framework for practical social reasoning I Wallace, M Rovatsos – Computational Intelligence, 2015 – Wiley Online Library Skip to Main Content. Wiley Online Library. Log in / Register. Log In E-Mail Address Password Forgotten Password? Remember Me. … Cited by 3 Related articles All 4 versions

Reasoning over hierarchical task workflows in robust robot planning B Szulyovszky – marshallplan.at … Task Network planning, give formalism and illustrate it with an example. Then Chapter 4 gives formal description of the used probabilistic model and with pseudocodes, it explains our implementation. Chapter 5 investigates robustness regarding to the given … Related articles

Creating Affective Autonomous Characters using Planning in Partially Observable Stochastic Domains X Huang, S Zhang, Y Shang, W Zhang, J Liu – ieeexplore.ieee.org Page 1. 1943-068X (c) 2015 IEEE. Personal use is permitted, but republication/ redistribution requires IEEE permission. See http://www.ieee.org/ publications_standards/publications/rights/index.html for more information. This … Related articles

[BOOK] Advances in Artificial Intelligence and Soft Computing G Sidorov, SN Galicia-Haro – 2015 – Springer … Natural Language Processing Grigori Sidorov Instituto Politécnico Nacional, Mexico … Logic, Knowledge-Based Systems, Multi-Agent Systems and Distributed AI Mauricio Osorio Jose … Fuzzy Systems and Probabilistic Models in Decision Making Ildar Batyrshin Instituto Politécnico … Related articles All 2 versions

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[BOOK] Biometric and intelligent decision making support A Kaklauskas – 2015 – Springer … Therefore this book deliberates the intelligent databases, hardware (sen- sors, iris camera hardware, hardware for fingerprint biometric identification, etc.), and computer human interfaces (gesture, intelligent user, motion tracking, voice and natural-language interfaces) in … Cited by 13 Related articles All 4 versions

Online Social Network Analysis: A Survey of Research Applications in Computer Science DB Kurka, A Godoy, FJ Von Zuben – arXiv preprint arXiv:1504.05655, 2015 – arxiv.org … This enhances the information content and diversity of the data collected, presenting various styles, forms, contexts and expres- sion strategies. Thereby, OSNs can be a rich repository of text for natural language processing applications. … Cited by 7 Related articles All 6 versions

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Test case prioritization using extended digraphs SS Emam, J Miller – ACM Transactions on Software Engineering and …, 2015 – dl.acm.org … The main reason for proposing a stochastic approach is the proven ability of such tech- niques in estimating these probabilistic models, specifically in calculating the forward probability of a sequence of events; in this study, the sequence of events is interpreted as a test case. … Cited by 2 Related articles

Integrating predictive analysis in self-adaptive pervasive systems ID Paez Anaya – 2015 – theses.fr Page 1. ANNÉE 2015 THÈSE / UNIVERSITÉ DE RENNES 1 sous le sceau de l’Université Européenne de Bretagne pour le grade de DOCTEUR DE L’UNIVERSITÉ DE RENNES 1 Mention : Informatique École doctorale Matisse présentée par Ivan Dario Paez Anaya … Related articles

Learning Emotions: A Software Engine for Simulating Realistic Emotion in Artificial Agents D Code – 2015 – openworks.wooster.edu Page 1. The College of Wooster Libraries Open Works Senior Independent Study Theses 2015 Learning Emotions: A Software Engine for Simulating Realistic Emotion in Artificial Agents Douglas Code The College of Wooster, dcode15@wooster.edu … Related articles

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[BOOK] Boosted statistical relational learners: From benchmarks to data-driven medicine S Natarajan, K Kersting, T Khot, J Shavlik – 2015 – books.google.com … More importantly, this generalizable nature of the algorithm allows for it to be applied to several real world tasks such as heart attack prediction, Alzheimer’s prediction, natural language processing tasks, real time strategy games etc. … Cited by 7 Related articles All 2 versions

On enhancing recommender systems by utilizing general social networks combined with users goals and contextual awareness RCA Quba – 2015 – tel.archives-ouvertes.fr Page 1. On enhancing recommender systems by utilizing general social networks combined with users goals and contextual awareness Rana Chamsi Abu Quba To cite this version: Rana Chamsi Abu Quba. On enhancing recommender … Related articles

Free from Publisher A review of the role of sensors in mobile context-aware recommendation systems S Ilarri, R Hermoso, R Trillo-Lado… – International Journal of …, 2015 – dl.acm.org … For instance, in [103], emotions are captured from user textual interaction, through chat analysis or the processing of other dialog messages. Along the same lines, the authors of [104] study the relation between natural language and affective information. … Cited by 2 Related articles All 6 versions

Case-Based Agents DW Aha, MW Floyd – 2015 – pdfs.semanticscholar.org … 2 Keepaway. In: RoboCup- 2003: Robot Soccer World Cup VII. pp. 694–702. Springer, Berlin (2004) 10. Noda, I., Matsubara, H., Hiraki, K., Frank, I.: Soccer Server: A Tool for Research on Multi-Agent Systems. Applied Artificial Intelligence 12(2-3), 233–250 (1998) 11. … Related articles All 2 versions

Provenance enriched data rating assessment for crowdsourcing A Sezavar Keshavarz – 2015 – eprints.soton.ac.uk Page 1. University of Southampton Research Repository ePrints Soton Copyright © and Moral Rights for this thesis are retained by the author and/or other copyright owners. A copy can be downloaded for personal non-commercial … Related articles All 2 versions

Social and Semantic Contexts in Tourist Mobile Applications E Pitassi – 2015 – dspace-uniud.cineca.it … Antonina Dattolo and Emanuela Pitassi. Folkview: a Multi-Agent System Approach to Modeling Folksonomies. … in the latter case there is a bottom-up approach: starting from the resource, the user apply descriptors coming from a non-controlled terms of natural language. … Related articles All 2 versions

Semantic search and composition in unstructured peer-to-peer networks X Cao – 2015 – scidok.sulb.uni-saarland.de … On the other hand, the emergence of the semantic web [27] allows for describing entities in a machine-understandable, more precise way. This complements the major descriptive methods, such as natural language, which are known to be sensitive to keyword ambiguity. … Related articles All 2 versions

Modeling User Transportation Patterns Using Mobile Devices E Davami – 2015 – etd.fcla.edu Page 1. MODELING USER TRANSPORTATION PATTERNS USING MOBILE DEVICES by ERFAN DAVAMI MS Hogskolan Dalarna, 2010 A dissertation submitted in partial fulfilment of the requirements for the degree of Doctor … Related articles