Probabilistic Models, Multi-agent Systems & Natural Language 2014


See also:

Abduction & Dialog SystemsDialog Systems 2011FOPC (First Order Predicate Calculus) & Dialog Systems | Probabilistic Models, Multi-agent Systems & Natural Language 2015ROS (Robot Operating System) & Natural Language 2014SVM (Support Vector Machine) & Dialog Systems 2014


Probabilistic model building in genetic programming: a critical review K Kim, Y Shan, XH Nguyen, RI McKay – Genetic Programming and …, 2014 – Springer … In Proceedings of the Agent and Multi-Agent Systems: Technologies and Applications, Second … Proceedings of the Optimization by Building and Using Probabilistic Models OBUPM Workshop … York; CD Manning, H. Schutze, Foundations of Statistical Natural Language Processing … Cited by 4 Related articles All 6 versions

Using models at runtime to address assurance for self-adaptive systems BHC Cheng, KI Eder, M Gogolla, L Grunske, M Litoiu… – Models@ run. …, 2014 – Springer … B., de Roeck, A., Willis, A.: Identifying nocuous ambiguities in natural language requirements. … 1998); Filieri, A., Ghezzi, C., Tamburrelli, G.: Run-time efficient probabilistic model checking … Nguyen, C., Perini, A., Bernon, C., Pavón, J., Thangarajah, J.: Testing in multi-agent systems. … Cited by 7 Related articles All 10 versions

Supervised learning model for parsing Arabic language N Khoufi, C Aloulou, LH Belguith – arXiv preprint arXiv:1410.8783, 2014 – arxiv.org … Within the Natural Language Processing (NLP) field, syntax represents the set of rules … whereas statistical approaches are essentially based on statistics or on probabilistic models. … Alou- lou2005) has developed a parsing system called MASPAR (Multi-Agent System for Parsing … Cited by 3 Related articles All 2 versions

Mereology in engineering and computer science L Polkowski – Mereology and the Sciences, 2014 – Springer … In K. Korta & JM Larrazábal (Eds.), Semantics and pragmatics of natural language: Logical and computational … Paun & A. Salomaa (Eds.), Grammatical models of multi-agent systems (pp. … The perceptron: A probabilistic model for information storage and organization in the brain. … Cited by 3 Related articles All 3 versions

MASECO: A Multi-agent System for Evaluation and Classification of OERs and OCW Based on Quality Criteria G Moise, M Vladoiu, Z Constantinescu – E-Learning Paradigms and …, 2014 – Springer … We propose here a multi-agent system for evaluation and classification of open courseware and open educational resources (called MASECO … model of quality that come close to human expert evaluations, based on machine learning and natural language processing, and … Cited by 4 Related articles All 7 versions

Language games with vague categories and negations H Eyre, J Lawry – Adaptive Behavior, 2014 – adb.sagepub.com … Language games, guessing game, semantic uncertainty, prototype theory, multi-agent systems, conceptual spaces … underlying hypothesis is that a shared semantics for natural language terms across a … First, we utilize a novel probabilistic model which combines prototype theory … Cited by 2 Related articles All 4 versions

The recognition of multiple virtual identities association based on multi-agent system L Li, W Xiao, C Dai, J Xu, B Ge – Agents and Data Mining Interaction, 2014 – Springer … Daud proposed a new probabilistic model by adding time factor to Author Topic model … network environment, the paper presents a recognition model based on multi-agent system: MVIA-MAS. … In: Proceedings of the 7th Conference on Natural Language Learning at HLT-NAACL … Cited by 1 Related articles All 3 versions

Verification and Validation of Agent-Based Simulations Using Approximate Model Checking B Herd, S Miles, P McBurney, M Luck – Multi-Agent-Based Simulation XIV, 2014 – Springer … F}(numInfected > 100)\) which is much closer to the statement in natural language. … P., Fisher, M., Wooldridge, M.: Uncertain agent verification through probabilistic model-checking. … Dekhtyar, MI, Dikovsky, AJ, Valiev, MK: Temporal verification of probabilistic multi-agent systems. … Cited by 1 Related articles All 3 versions

Analysis on Information Retrieval System: A Survey I Shrivastava – International Journal of Research in Engineering … – ijretm.com … Yi Xiao [8] has given the architecture of multi agent system. … The vector space and probabilistic models are the two major examples of the statistical retrieval approach … can be easier to formulate because users do not have to learn a query language and can use natural language. … Cited by 1 Related articles All 2 versions

A Grammar-Based Semantic Similarity Algorithm for Natural Language Sentences MC Lee, JW Chang, TC Hsieh – The Scientific World Journal, 2014 – hindawi.com … known as latent semantic indexing (LSI), is a fully automatic mathematical/statistical technique that analyzes a large corpus of natural language text and a … One of the standard probabilistic models of LSA is the probabilistic latent semantic analysis (PLSA), which is also known as … Cited by 3 Related articles All 8 versions

Lymphocyte-style word representations J Yang, Y Guan, X Dong – Information and Automation (ICIA), …, 2014 – ieeexplore.ieee.org … I. INTRODUCTION The study of similarity between words has been a part of natural language processing and information retrieval for many years. … Many current natural language processing (NLP) systems and techniques treat words as atomic units. … Cited by 1 Related articles All 2 versions

[BOOK] Natural Language Generation in Interactive Systems A Stent, S Bangalore – 2014 – books.google.com Page 1. Natural Language Generation in Interactive Systems tunea by Amanda Stel’ltand Srinivas Bangalore Page 2. … It is an ideal resource for students and researchers in computational linguistics, natural language processing, and related fields. … Cited by 2 Related articles All 3 versions

A computational model of social attitudes for a virtual recruiter Z Callejas, B Ravenet, M Ochs… – … and multi-agent systems, 2014 – dl.acm.org … When the dialog manager has selected the dialog act and attitude for the current turn, the natural language generator module queries the database to find a phrase. … This method allows us to keep the variability of the probabilistic model, and also to prevent the system to … Cited by 5 Related articles All 7 versions

Computationally modeling human emotion S Marsella, J Gratch – Communications of the ACM, 2014 – dl.acm.org … see in this interpretation of events a variety of functional roles for emotion relevant to researchers in AI, autonomous agents, and multi-agent systems. … 37 of resolving natural language ambiguities. … 8. Conati, C. and MacLaren, H. Evaluating a probabilistic model of student affect. … Cited by 4 Related articles All 3 versions

On the retrieval effectiveness study of an adaptive multi agent system in a Web digital library R Ponnusamy – 2014 – shodhganga.inflibnet.ac.in … can be learned using a multi-agent system. By taking the apriori information … Yates 2004), Algebraic Models (Ricardo Baeza-Yates 2004), Probabilistic Models (Ricardo Baeza-Yates 2004), Natural Language Processing Models … Related articles All 2 versions

Evaluating key performance measures of knowledge-based systems via homogeneous stochastic modelling and analysis GC Pentzaropoulos – camo.ici.ro … Next, we examine the main properties of multi-agent systems in comparison with centralized systems … TIL-script messages are presented in a standard natural language that is very close … complex systems can be performed by means of either deterministic or probabilistic models. … Related articles

Keyword Based Searching According to the Movie Names S Asadi – Computer Science and Information Technology, 2014 – hrpub.org … Keywords Query Formulation, Search Process, Keyword Query, Multi-Agent System, Query Based Learning … for the incremental query construction as well as a probabilistic model, which enables … 1] I. Androutsopoulos, GD Ritchie, and P. Thanisch, “Natural Language Interfaces to … Related articles

Concept Learning Supported Semantic Search Using Multi-Agent System Based on Social Networks SMM El_sherif – 2014 – theses.ucalgary.ca Page 1. UNIVERSITY OF CALGARY Concept Learning Supported Semantic Search Using Multi-Agent System Based on Social Networks by … Our system consists of a group of multi-agent systems (MASs), each controlling a repository of structured and unstruc- tured documents. … Related articles

An Enhanced Model For Automatically Extracting Topic Phrase From Web Document Snippet For Cluster Labels CI Ejiofor, EO Nwachukwu… – Scientia …, 2014 – scientia-africana.uniportjournal.info … Probabilistic models usually attempt to determine the relationship between a document and a query through a set of terms … Natural Language Processing (NLP), Data Mining, and Machine Learning techniques work together to automatically classify and discover patterns from … Related articles

Opportunities for Argument-Centric Persuasion in Behaviour Change A Hunter – Logics in Artificial Intelligence, 2014 – Springer … Obviously richer natural language interaction would be desirable, but it is less feasible in the short-term … G for which ? is an extension of G (according the dialectical semantics S). Probabilistic models of the … Autonomous Agents and Multi- Agent Systems 19(2), 173–209 (2009) 14 … Cited by 2 Related articles All 6 versions

Context and Machine Learning CL Johnson – Context in Computing, 2014 – Springer … Natural Language Processing (NLP) is a domain where context has been used for many years. … the correct movements, Petkos and Vijayakumar (2007) first formulated a probabilistic model to represent … This can be a useful first step in a multi agent system, but agents trained in … Related articles All 3 versions

Effectively creating weakly labeled training examples via approximate domain knowledge S Natarajan, J Picado, T Khot, K Kersting, C Re… – research.cs.wisc.edu … 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 1 Related articles All 2 versions

From Good Robots to Useful Intelligent Agents GJ Nalepa – A Treatise on Good Robots, 2014 – books.google.com … Rules themselves are close to the conditional statements in the natural language having a common form of … A common probabilistic model is based on the Bayes theorem … many different architectures of such systems considered within the theory the so-called multi agent systems. … Related articles All 2 versions

Probabilistic Knowledge Base System For Forensic Evidence Analysis M SAMAN, S HITAM – Journal of Theoretical and Applied Information …, 2014 – jatit.org … means a personal degree of belief that a proposition of natural language, describing that … and M. Huhns, “On the combination of logical and probabilistic models for information … Cao, Z., “A Complete Probabilistic Belief Logic Computational Logic in Multi-Agent Systems”, K. Inoue … Related articles

A Detailed Study on Query Expansion Techniques in Information Retrieval N Soni, J Singh – rspublication.com … 3. Probabilistic Model: It is based on the Probability Ranking Principle, which states that an IR … Proceedings of the IEEE international conference on integration of knowledge intensive multi-agent systems, pp … [31] B. Selvaretnam and M. Belkhatir, Natural language technology and … Related articles All 2 versions

Interactively Learning Nonverbal Behavior for Inference and Production: A Machine Learning Approach JJ Lee, C Breazeal – robotshelpingkids.yale.edu … built probabilistic models that can learn from human-to-human interactions to predict when … problem (as inspired by Smith and Lieberman’s work in natural language generation [18 … approach for predicting listener backchannels,” Autonomous Agents and Multi-Agent Systems, vol … Related articles All 3 versions

Introduction to Cognitive Systems P Érdi, M Bányai – geza.kzoo.edu … Mental representations are internally structured much like sentences in a natural language, in that they have both syntactic structure and a compositional semantics. … 3.4. Language processing Early AI has strong interest in (natural) language processing (NLP). … Related articles

Applying model checking to agent-based learning systems RF Kirwan – 2014 – theses.gla.ac.uk … ABLsystems . . . . . 64 2.5 Abstraction . . . . . 65 2.6 Autonomous agents and multi-agent systems . . . . . 67 2.6.1 Representing MA Systems . . . . . 67 2.6.2 Formalapproaches . . . . . 69 … Related articles All 3 versions

Automatic Detection of Antisocial Behaviour in Texts M Munezero, CS Montero, T Kakkonen, E Sutinen… – Informatica, 2014 – informatica.si … Within the Natural Language Processing (NLP) research community, more often than not researchers use … The NB classifier is a probabilistic model that assumes independence of the attributes used in … The affective reasoner: A process model of emotions in a multi-agent system. … Related articles All 7 versions

Human-Inspired Computing and Its Applications A Gelbukh, FC Espinoza, SN Galicia-Haro – mexculture.cnam.fr … Natural Language Processing – Natural Language Processing Applications – Opinion Mining … 42 12 29% Logic, Knowledge-Based Systems, Multi-Agent Systems and Distributed AI 40 8 20% … 24 5 21% Fuzzy Systems and Probabilistic Models in Decision Making 23 4 17% … 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 …, 2014 – 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 9 Related articles All 6 versions

Trust Framework for Handling Communication Using Social Networks as Applied to Mobile Sensor Based Indoor Navigation System L Rupasinghe, I Murray – researchgate.net … Among those, trust based methods for social networks using Natural Language Processing (NLP) techniques, traditional Social … And also this represents a complete probabilistic model of all the variables in a specific domain … Autonomous Agents and Multi-Agent Systems, 2008. … Related articles All 2 versions

Modeling human plan recognition using Bayesian theory of mind CL Baker, JB Tenenbaum – Plan, activity, and intent recognition: …, 2014 – hpctoday.com … behavior and mental states. These representations are composed to form the structured probabilistic model in Figure 7.3, which takes the form of a dynamic Bayesian network (DBN) described by Murphy [95]. The most basic … Cited by 3 Related articles All 2 versions

Fuzzy information retrieval in WWW: a survey S Kohli, A Gupta – International Journal of Advanced …, 2014 – inderscienceonline.com … 2 Querying: Expression of user preferences through natural language or terms connected by logical operators. … 3 Probabilistic model: documents and queries are represented as vectors in the space of all possible index terms. … Cited by 1 Related articles All 3 versions

Reasoning about the impacts of information sharing Y Tang, F Cerutti, N Oren, C Bisdikian – Information Systems Frontiers, 2014 – Springer … Keywords Information sharing · Impacts · Trust · Risk 1 Introduction Appropriate decision making by an agent operating within a multi-agent system often requires information from other agents. … We situate our work within the context of a multi-agent system. … Cited by 1 Related articles All 2 versions

Human action recognition with sparse classification and multiple-view learning R Cilla, MA Patricio, A Berlanga, JM Molina – Expert Systems, 2014 – 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 7 Related articles

Systematic mapping study on software engineering for sustainability (SE4S) B Penzenstadler, A Raturi, D Richardson… – Proceedings of the 18th …, 2014 – dl.acm.org … model for uncovering the underlying se- mantic structure of a document collection” [10]. We utilized the Machine Learning for LanguagE Toolkit (MALLET)3, that is popularly used for machine learning applications to text, including classification, clustering, natural language … Cited by 8 Related articles All 4 versions

Keyhole Adversarial Plan Recognition for Recognition of Suspicious and Anomalous Behavior D Avrahami-Zilberbrand, GA Kaminka – u.cs.biu.ac.il Page 1. Keyhole Adversarial Plan Recognition for Recognition of Suspicious and Anomalous Behavior Dorit Avrahami-Zilberbrand and Gal A. Kaminka Computer Science Department and Gonda Brain Research Center Bar Ilan University, Israel Abstract … Related articles

Institute for Software Research B Penzenstadler, D Richardson, H Femmer, A Raturi… – 2014 – isr.uci.edu … this case topics, which are clusters of words that frequently occur together in the data [8]. It is a “probabilistic model for uncovering … that is popularly used for machine learning applications to text, including classification, clustering, natural language processing, and topic modeling … Related articles All 3 versions

Agent Theory J Váncza – CIRP Encyclopedia of Production Engineering, 2014 – Springer Page 1. A Ability to Be Machined … Related articles All 2 versions

Computational Modeling and Simulation of Language and Meaning: Similarity-Based Approaches T Lindh-Knuutila – 2014 – aaltodoc.aalto.fi … Se- mantic analysis in word vector spaces with ICA and feature selec- tion. In The 11th Conference on Natural Language Processing (KON- VENS), Vienna, Austria, pages 98–107. … NeRV Neighbor Retrieval Visualizer. NLP Natural Language Processing. … Related articles All 2 versions

Synthetic Generators For Simulating Social Networks AM ALI – 2014 – etd.fcla.edu … The newly added node, A, is linked to an already existing node, B, based on a uniform distribution. After that, the process of burning starts from node B by linking to new nodes based on a probabilistic model [22]. The generated graphs have … Related articles All 2 versions

CooL-AgentSpeak: Endowing AgentSpeak-DL agents with plan exchange and ontology services. V Mascardi, D Ancona, M Barbieri, RH Bordini… – Web Intelligence and …, 2014 – disi.unige.it … Cooperation is important in the context of Multi- Agent Systems (MASs) to allow agents to help oth- ers achieve their goals. … gforge.inria.fr/ is an hybrid, exten- sional and asymmetric matching method relying on the implication intensity measure, a probabilistic model of deviation … Cited by 5 Related articles All 5 versions

A Study of Crowd Ability and its Influence on Crowdsourced Evaluation of Design Concepts A Burnap, Y Ren, R Gerth, G Papazoglou, R Gonzalez… – … .asmedigitalcollection.asme.org … data sets [30,33]. These models are most often applied to tasks that are “human easy, computer hard,” such as image annotation [30, 34], planning and schedul- ing [35], and natural language processing [36,37]. Our study is … Related articles All 4 versions

Mapsom: User involvement in ontology matching V Jirkovský, R Ichise – Semantic Technology, 2014 – Springer … other hand, language-based techniques rely on using Natural Language Processing methods … For example, when using a probabilistic model for binary classification, uncertainty sampling … V., Obitko, M.: Ontology mapping approach for fault classification in multi-agent systems. … Cited by 1 Related articles All 3 versions

Hybrid PoS-tagging: A cooperation of evolutionary and statistical approaches R Forsati, M Shamsfard – Applied Mathematical Modelling, 2014 – Elsevier … Abstract. The assigning of syntactic categories to words in a sentence, which is referred to as part-of-speech (PoS) tagging problem, plays an essential role in many natural language processing and information retrieval applications. … Related articles All 2 versions

Rough Sets and Vague Concepts J Bazan, A Skowron, J law Stepaniuk, R Swiniarski – Calcutta Logic Circle 2011 – iitk.ac.in … This additional knowledge is represented by a concept ontology [7–9, 50–52, 85, 86, 89, 90105] including concepts expressed in natural language and some dependencies between them. … Almost all concepts in natural language are vague. … Related articles

Sketched symbol recognition using Latent-Dynamic Conditional Random Fields and distance-based clustering V Deufemia, M Risi, G Tortora – Pattern Recognition, 2014 – Elsevier … The multi-agent approach to sketch recognition proposed in [16] is based on a Multi-Agent System (MAS) composed … LDCRFs are based on CRFs, a discriminative probabilistic model successfully applied in a wide range of domains including natural language processing [23 … Cited by 9 Related articles All 5 versions

Trust, relevance, and arguments F Paglieri, C Castelfranchi – Argument & Computation, 2014 – Taylor & Francis … A survey of probabilistic models in information retrieval. ACM Computing Surveys, 30(4), 528–552. [CrossRef], [Web of Science ®] View all references; Ramchurn, Huynh, & Jennings, 200459. Ramchurn, S., Huynh, D., & Jennings, N. (2004). Trust in multi-agent systems. … Cited by 1 Related articles All 3 versions

Methods for Engineering Symbolic Human Behaviour Models for Activity Recognition KY Yordanova – 2014 – researchgate.net … A typical approach in such situations is the employment of probabilistic models that describe the possible states and the probabilities for going from one state to another. … A different approach is to generate the probabilistic model from prior knowledge instead of learning it. … Related articles

Adiabatic shearing in metal machining T Childs – CIRP Encyclopedia of Production Engineering, 2014 – Springer Page 1. A Ability to Be Machined … Cited by 2 Related articles

Adversarial Structured Output Prediction MA Torkamani – 2014 – cs.uoregon.edu … Problems of this kind arise in security, computer vision, natural language processing, robotics, and computational biology. … Each label is drawn from a small finite set. This problem has many ap- plications in natural language processing for part-of-speech tagging [38, 39, 40], … Related articles

Anisotropy A Brosius, D Banabic – CIRP Encyclopedia of Production Engineering, 2014 – Springer Page 1. A Ability to Be Machined … Cited by 2 Related articles

Sensing, Perceiving, and Understanding Actions JM del Rincón, SE Fahlman – downloads.hindawi.com … pages Lightweight Morphological Analysis Model for Smart Home Applications Based on Natural Language Interfaces, Sangwoo Kang, Harksoo Kim, Hyun-Kyu Kang, and Jungyun Seo Volume 2014, Article ID 570634, 9 pages … Related articles

[BOOK] Plan, activity, and intent recognition: Theory and practice G Sukthankar, C Geib, HH Bui, D Pynadath… – 2014 – books.google.com … Dr. Hung Hai Bui is a Principal Research Scientist at the Laboratory for Natural Language Understanding, Nuance in Sunnyvale, CA. … Other Agents From Observations (MOO 2004) at the International Conference on Autonomous Agents and Multi-agent Systems, AAMAS-2004 … Cited by 13 Related articles All 2 versions

Universal psychometrics: Measuring cognitive abilities in the machine kingdom J Hernández-Orallo, DL Dowe… – Cognitive Systems …, 2014 – Elsevier We present and develop the notion of ‘universal psychometrics’ as a subject of study, and eventually a discipline, that focusses on the measurement of cogni. Cited by 20 Related articles All 8 versions

Ontology Based Information Retrieval in Semantic Web V Jain – researchgate.net … 22. Vishal Jain and Dr. Mahesh Kumar Madan Information Retrieval through Multi-Agent System with Data Mining in Cloud Computing … Improper style of natural language: – These engines are not capable of understanding complex way of writing documents. … Related articles

Social voting advice applications—definitions, challenges, datasets and evaluation I Katakis, N Tsapatsoulis, F Mendez… – Cybernetics, IEEE …, 2014 – ieeexplore.ieee.org … Some representative approaches are discussed in this section. ArnetMiner is one of the most popular publication/researcher search engines. In [17] many challenging tasks are confronted like the modeling of the research community using generative probabilistic models. … Cited by 12 Related articles All 6 versions

[BOOK] Computational Trust Models and Machine Learning X Liu, A Datta, EP Lim – 2014 – books.google.com … The scope of the series includes, but is not limited to, titles in the areas of machine learning, pattern rec- ognition, computational intelligence, robotics, computational/statistical learning theory, natural language processing, computer vision, game AI, game theory, neural networks … Cited by 1 Related articles All 4 versions

Evolutionary models of ontogeny of linguistic categories and rules DD Hromada – wizzion.com … Programming ES – Evolutionary Strategies ET – Evolutionary Theory GA – Genetic Algorithms GE – Genetic Epistemology GI – Grammar Induction | Grammar Inference LA – Language Acquisition | LD – Language Development NLP – Natural Language Processing POS-i – Part …

Nature-Inspired Computation and Machine Learning A Gelbukh, FAC Espinoza, SN Galicia-Haro – Springer … Natural Language Processing … Logic, Knowledge-Based Systems, Multi-Agent Systems and Distributed AI Mauricio Osorio Universidad de las Américas, Mexico Jose Raymundo Universidad Autónoma del Estado de … Fuzzy Systems and Probabilistic Models in Decision Making … Related articles All 2 versions

A Modelling Approach to Multi-Domain Traceability M Taromirad – 2014 – etheses.whiterose.ac.uk Page 1. A Modelling Approach to Multi-Domain Traceability Masoumeh Taromirad A thesis submitted for the degree of Doctor of Philosophy University of York Department of Computer Science August 2014 Page 2. Page 3. Abstract … Related articles All 3 versions

High-level Information Fusion for Constrained SMC Methods and Applications S Sepideh – 2014 – uwspace.uwaterloo.ca … There are many methods of representing uncertainty, such as probabilistic models; however, this model often cannot capture all the information that is required to define and describe the operation of a sensing and data fusion system. … Related articles

Safety Assurance of Open Adaptive Systems–A Survey M Trapp, D Schneider – Models@ run. time, 2014 – Springer Page 1. N. Bencomo et al. (Eds.): Models@run.time, LNCS 8378, pp. 279–318, 2014. © Springer International Publishing Switzerland 2014 Safety Assurance of Open Adaptive Systems – A Survey Mario Trapp and Daniel Schneider … Cited by 2 Related articles All 3 versions

[BOOK] Human-Inspired Computing and its Applications: 13th Mexican International Conference on Artificial Intelligence, MICAI2014, Tuxtla Gutiérrez, Mexico, … A Gelbukh, FC Espinoza, SN Galicia-Haro – 2014 – books.google.com … Instituto Tecnológico de Tuxtla Gutiérrez, Mexico Track Chairs Natural Language Processing Grigori … de Guanajuato, Mexico Logic, Knowledge-Based Systems, Multi-Agent Systems and Distributed … Estado de México, Mexico Fuzzy Systems and Probabilistic Models in Decision … Related articles All 4 versions

Multi-view constrained clustering with an incomplete mapping between views E Eaton, S Jacob – Knowledge and information systems, 2014 – Springer Page 1. Knowl Inf Syst (2014) 38:231–257 DOI 10.1007/s10115-012-0577-7 REGULAR PAPER Multi-view constrained clustering with an incomplete mapping between views Eric Eaton · Marie desJardins · Sara Jacob Received … Cited by 7 Related articles All 11 versions

Combined decision making with multiple agents E Simpson – 2014 – robots.ox.ac.uk … improve the capabilities of the system, for example, through training. The multi-agent system offers a number of advantages over alternative paradigms for … For example, people are able to perform pattern recognition tasks given only a small set of natural language instructions, … Cited by 2 Related articles All 2 versions

Interactive sensing and decision making in social networks V Krishnamurthy, ON Gharehshiran… – arXiv preprint arXiv: …, 2014 – arxiv.org … Social learning is used as a mathemat- ical formalism to model the interaction between individuals that aim to estimate an underlying state of nature. Social learning in multi-agent systems seeks to answer the following question: … Cited by 4 Related articles All 16 versions

AIICS Publications: Conference and Workshop Publications P Doherty – 2014 – ida.liu.se … In Dariusz Barbucha, Manh Thanh Le, Robert J. Howlett, Lakhmi C. Jain, editors, Advanced Methods and Technologies for Agent and Multi-Agent Systems: Proceedings of the 7th KES Conference on Agent and Multi-Agent Systems – Technologies and Applications (KES … All 2 versions

Efficient semi-automated assessment of annotations trustworthiness D Ceolin, A Nottamkandath, W Fokkink – Journal of Trust Management, 2014 – Springer … By “policy” we mean a set of rules that the institution adopts to evaluate tags. The fact that we do not have an explicit definition of such rules (nor we could ask for it) determines the need to learn a probabilistic model that aims at mimicking their evaluation strategy. … Cited by 8 Related articles All 4 versions

Reconciling Schema Matching Networks QVH Nguyen – 2014 – infoscience.epfl.ch Page 1. POUR L’OBTENTION DU GRADE DE DOCTEUR ÈS SCIENCES acceptée sur proposition du jury: Prof. B. Faltings, président du jury Prof. K. Aberer, directeur de thèse Prof. Z. Bellahsene, rapporteur Dr Z. Miklós, rapporteur Dr M. Rajman, rapporteur … Related articles

[BOOK] Virtual Teacher: Cognitive Approach to E-learning Material B Aberšek, B Borstner, J Bregant – 2014 – books.google.com Page 1. en- **** Y”…l. M&K goost ee> *- NXII Opel H. Woo-oop” AEP yoy, H. MNA…” BBq ×p ” 3 D viol – …TE |-|-| II: FIT’E FIEFFIFTH || E-LEFREIHE EI-IEEE|. – – – Boris Aberšek, Bojan Borstner and Janez Bregant Page 2. Virtual Teacher Page 3. Page 4. … Cited by 2 Related articles

Residual Memory for Background Characters in Complex Environments T McNulty, B Eng – 2014 – tiarnanmcnulty.com Page 1. Residual Memory for Background Characters in Complex Environments by Tiarnán McNulty, B.Eng. (Hons) Dissertation Presented to the University of Dublin, Trinity College in fulfillment of the requirements for the Degree of Master of Science in Computer Science … Related articles

Alert Analysis Framework Using Semantic Correlation SSM Ahmed – 2014 – dspace.library.uvic.ca … mail . . . . . 45 Figure 3.3 Example of alert information expressed in natural language. 46 Figure 3.4 Intrusion Alert Analysis Framework . . . . . 48 Figure 4.1 Example of Competency Questions Tree . . . . . 59 … Related articles All 2 versions

AIICS Publications: All Publications P Doherty – Neurocomputing, 2014 – ida.liu.se … of trust defines trust as an essentially mental notion, making the theory particularly well suited for formalizations in multi-modal logics of beliefs, goals, intentions, actions, and time.Three different multi-modal logical formalisms intended for multi-agent systems are compared and … All 4 versions

Supplementary Materials for “A Survey of Corpora in Computational and Cognitive Narrative Science” MA Finlayson – 2014 – dspace.mit.edu … Providing a necessary component of the framework required for autonomous agent, with affective behaviour, development with which we may bridge the gap between current research in psychological theory and practical implementation of social multi-agent systems. … All 2 versions