Andrew Koster
Possui graduação em Computer Science - Utrecht University (2006), mestrado em Agent Technology - Utrecht University (2006) e doutorado em Informàtica - Universitat Autònoma de Barcelona - UAB (2012). Atualmente é pesquisador - Samsung Eletrônica da Amazônia. Tem experiência na área de Ciência da Computação, com ênfase em Artificial Intelligence, atuando principalmente nos seguintes temas: sistemas multi-agentes, agent-based modelling and simulation, social computing, e learning analytics.
Informações coletadas do Lattes em 04/11/2022
Acadêmico
Formação acadêmica
Doutorado em Informàtica
2008 - 2012
Universitat Autònoma de Barcelona - UAB
Título: Trust Alignment and Adaptation: Two Approaches for Talking about Trust in Multi-Agent Systems
Orientador: Jordi Sabater-Mir and Marco Schorlemmer
Palavras-chave: trust and reputation; channel theory; first-order regression; Multi-Agent Systems; BDI-Agent; Argumentation. Grande área: Ciências Exatas e da Terra
Mestrado em Agent Technology
2003 - 2006
Utrecht University
Título: Supporting Impromptu Coordination using Intelligent Software and Mobile Devices,Ano de Obtenção: 2006
Orientador: Frank Dignum, John-Jules Meyer and Liz Sonenberg
Palavras-chave: Intelligent Agents; Planning; BDI.Grande área: Ciências Exatas e da Terra
Pós-doutorado
2012 - 2013
Pós-Doutorado. , Universidade Federal do Rio Grande do Sul, UFRGS, Brasil. , Bolsista do(a): Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, CAPES, Brasil. , Grande área: Ciências Exatas e da Terra
Formação complementar
2010 - 2010
Catalan - level B1. (Carga horária: 100h). , Universitat Autònoma de Barcelona - UAB, UAB, Espanha.
Idiomas
Inglês
Compreende Bem, Fala Bem, Lê Bem, Escreve Bem.
Espanhol
Compreende Bem, Fala Bem, Lê Bem, Escreve Razoavelmente.
Holandês
Compreende Bem, Fala Bem, Lê Bem, Escreve Bem.
Áreas de atuação
Grande área: Ciências Exatas e da Terra / Área: Ciência da Computação / Subárea: Artificial Intelligence.
Grande área: Ciências Exatas e da Terra / Área: Ciência da Computação / Subárea: Digital Education.
Grande área: Ciências Exatas e da Terra / Área: Ciência da Computação / Subárea: Computational Social Sciences.
Organização de eventos
KOCH, F. ; KOSTER, A. ; PRIMO, T. ; KIM, Y. . 2nd International Workshop on Social Computing in Digital Eduation. 2015. (Congresso).
Participação em bancas
Andrew Koster; MAILLARD, P. A. J.; ENGEL, P. M.. Uma abordagem baseada em agentes para simulação de tarifação viária e comunicação inter-veicular. 2013. Dissertação (Mestrado em PPGC - Programa de Pós Graduação em Computação UFRGS) - Universidade Federal do Rio Grande do Sul.
Produções bibliográficas
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Koster, A. ; SCHORLEMMER, M. ; SABATER-MIR, J. . Opening the black box of trust: reasoning about trust models in a BDI agent. Journal of Logic and Computation (Print) , v. 23, p. 25-58, 2013.
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KOSTER, ANDREW . Trust and argumentation in multi-agent systems. Argument & Computation , v. 5, p. 123-138, 2013.
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KOSTER, A. ; SCHORLEMMER, M. ; SABATER-MIR, J. . Engineering trust alignment: Theory, method and experimentation. International Journal of Human-Computer Studies (Print) , v. 70, p. 450-473, 2012.
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WIERING, M. ; LEIJNEN, S. ; KOSTER, A. ; WEERS, S. V. ; BACK, W. . Autonomous Intelligent Robots at Utrecht University. International Journal of Advanced Robotic Systems (Print) , v. 1, p. 125-128, 2004.
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KOCH, F. (Org.) ; KOSTER, ANDREW (Org.) ; PRIMO, T. (Org.) . Advances in Social Computing for Digital Education. 1. ed. Springer, 2016. v. 1.
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LEITÃO, G. ; COLONNA, J. ; RIBEIRO, E. ; BARRETO, R. ; ARAUJO, T. ; MARTINS, A. ; KOSTER, A. ; KOCH, F. . Experimental Evaluation on Machine Learning Techniques for Human Activities Recognition in Digital Education Context. In: Fernando Koch; Andrew Koster; Tiago Primo. (Org.). Advances in Social Computing for Digital Education. 606ed.: Springer, 2016, v. , p. 1-15.
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Koster, Andrew ; Koch, Fernando ; BAZZAN, ANA L. C. . Incentivising Crowdsourced Parking Solutions. Lecture Notes in Computer Science. 1ed.: Springer International Publishing, 2014, v. , p. 36-43.
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Koster, Andrew ; Koch, Fernando ; Kim, Yeun Bae . Serendipitous Recommendation Based on Big Context. Lecture Notes in Computer Science. 1ed.: Springer International Publishing, 2014, v. , p. 319-330.
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Koster, Andrew ; OLIVEIRA, ALLYSSON ; Volpato, Orlando ; Delvequio, Viviane ; Koch, Fernando . Recognition and Recommendation of Parking Places. Lecture Notes in Computer Science. 1ed.: Springer International Publishing, 2014, v. , p. 675-685.
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KOSTER, A. ; SABATER-MIR, J. ; SCHORLEMMER, M. . Argumentation and Trust. Agreement Technologies. 1ed.: Sascha Ossowski, 2013, v. , p. 441-451.
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KOSTER, A. ; PAN, J. Z. . Ontology, Semantics and Reputation. Agreement Technologies. 1ed.: Sascha Ossowski, 2013, v. , p. 453-465.
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KOSTER, A. ; RAMOS, G. O. ; BAZZAN, A. L. C. ; KOCH, F. . Towards a Platform for Testing and Developing Privacy-Preserving Data Mining Applications for Smart Grids. In: Matthias Klusch; Matthias Thimm; Marcin Paprzycki. (Org.). 11th German Conference, MATES 2013. 1ed.Heidelberg: Springer, 2013, v. 8076, p. 292-305.
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Andrew Koster ; SCHORLEMMER, M. ; SABATER-MIR, J. . Trust Alignment: a Sine Qua Non of Open Multi-agent Systems. On the Move to Meaningful Internet Systems: OTM 2011. 1ed.: Robert Meersman; Tharam Dillon; Pilar Herrero; Akhil Kumar; Manfred Reichert; Li Qing; Beng-Chin Ooi, 2011, v. 7044, p. 182-199.
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KOSTER, A. ; SABATER-MIR, J. ; SCHORLEMMER, M. . A formalization of trust alignment. Artificial Intelligence Research and Development, Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence. Amsterdam: Sandra Sandri, Miquel Sànchez-Marrè, Ulises Cortés, 2009, v. 202, p. 169-178.
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KOSTER, ANDREW ; TETTAMANZI, ANDREA ; BAZZAN, ANA L. C. ; DA COSTA PEREIRA, CELIA . Using trust and possibilistic reasoning to deal with untrustworthy communication in VANETs. In: 2013 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013), 2013, The Hague. 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013), 2013. p. 2355-2360.
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Andrew Koster ; SOUZA, L. H. D. ; BAZZAN, A. L. C. . Malicious Communication in VANETs?Lessons Learned in Microsimulation of Traffic. In: Encontro Nacional de Inteligência Artificial e Computacional, 2013, Fortaleza. Procedimentos de ENIAC 2013. Porto Alegre: SBC, 2013.
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KOSTER, A. ; SABATER-MIR, J. ; SCHORLEMMER, M. . Personalizing Communication about Trust. In: International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2012, Valencia. Proceedings of the Eleventh International Conference on Autonomous Agents and Multiagent Systems, 2012. v. 1. p. 655-664.
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KOSTER, A. ; SABATER-MIR, J. ; SCHORLEMMER, M. . A Formal Argumentation Dialogue for Personalised Trust Communication. In: Workshop on Trust in Agent Socieities, 2012, Valencia. Trust in Agent Societies, 2012.
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Andrew Koster ; Jordi Madrenas ; Nardine Osman ; SCHORLEMMER, M. ; SABATER-MIR, J. ; SIERRA, C. ; Angela Fabregues ; Dave de Jonge ; Josep Puyol-Gruart ; Pere Garcia-Calves . u-Help: supporting helpful communities with information technology. In: First International Conference on Agreement Technologies, 2012, Dubrovnik. CEUR Workshop Proceedings, 2012. p. 378-392.
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KOSTER, A. ; SABATER-MIR, J. ; SCHORLEMMER, M. . Engineering trust alignment: a first approach. In: Workshop on Trust in Agent Socieities, 2010, Toronto. Trust in Agent Societies, 2010.
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KOSTER, A. . Why does trust need aligning?. In: Workshop on Trust in Agent Socieities, 2010, Toronto. Trust in Agent Societies, 2010.
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KOSTER, A. ; SABATER-MIR, J. ; SCHORLEMMER, M. . Towards an inductive algorithm for learning trust alignment. In: 11th European Agent Systems Summer School Student Session, 2009, Turin. Proceedings of the 11th European Agent Systems Summer School Student Session. Bayreuth: Universität Bayreuth, 2009. p. 5-11.
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KOSTER, A. ; SABATER-MIR, J. ; SCHORLEMMER, M. . An interaction-oriented model of trust alignment. In: Conferencia de la Asociación Española para la Inteligencia Artificial, 2009, Sevilla. Proc. of the 13th Conference of the Spanish Association for Artificial Intelligence, CAEPIA, 2009. p. 655-664.
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KOSTER, A. ; KOCH, F. ; SONENBERG, L. ; DIGNUM, F. . Augmenting BDI with relevance: supporting agent-based, pervasive applications. In: Pervasive Mobile Interaction Devices, 2008, Sydney. Proceedings of Pervasive Mobile Interaction Devices, 2008.
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Koster, Andrew ; PRIMO, TIAGO ; Koch, Fernando ; OLIVEIRA, ALLYSSON ; CHUNG, HYUNKWON . Towards an Educator-Centred Digital Teaching Platform: The Ground Conditions for a Data-Driven Approach. In: 2015 IEEE 15th International Conference on Advanced Learning Technologies (ICALT), 2015, Hualien. 2015 IEEE 15th International Conference on Advanced Learning Technologies, 2015. p. 74.
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Andrew Koster ; Jordi Madrenas ; Nardine Osman ; SCHORLEMMER, M. ; SABATER-MIR, J. ; SIERRA, C. ; Angela Fabregues ; Dave de Jonge ; Josep Puyol-Gruart ; Pere Garcia-Calves . u-Help: supporting helpful communities with information technology. In: International Conference on Autonomous Agents and Multi-Agent Systems, 2013, Saint Paul. Proceedings of the 12th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'13), 2013. p. 1109-1110.
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KOSTER, A. ; SABATER-MIR, J. ; SCHORLEMMER, M. . Talking about Trust in Heterogeneous Multi-Agent Systems. In: Doctoral Consortium at IJCAI'11, 2011, Barcelona. Twenty-Second International Joint Conference on Artificial Intelligence, 2011. p. 2820-2821.
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KOSTER, A. ; SABATER-MIR, J. ; SCHORLEMMER, M. . Inductively Generated Trust Alignments Based on Shared Interactions (Extended Abstract). In: International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2010, Toronto. Proceedings of the Ninth International Conference on Autonomous Agents and Multiagent Systems, 2010. p. 1571-1572.
Outras produções
ITO, M. ; BORDIGNOM, A. ; KOSTER, A. ; SCHIRRA, C. ; BORGER, S. . Pesquisa, Desenvolvimento e Inovação em eSaúde. 2014. (Programa de rádio ou TV/Mesa redonda).
Projetos de pesquisa
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2014 - Atual
Ecossistema Integrado para Educação Digital, Descrição: The objective of this project is to research and develop a point-to-point reference system for digital education. The project envisions the development of tools for Ambient Intelligence in digital education that contribute to: better understand the educational environment in a classroom, reduce the educator's work time and provide a decision-support and recommendation system for continuous improvement in students' learning. We will build upon existing technology for digital education, creating innovative models for learning analytics, to infer the context and learning profile of students, intelligent models for recommandation of personalized education content. The solution is composed of four lines of research and development: (i) an interface for the publicationand classification of learning objects. (ii) an intelligent content composer for creating lessons from digital learning objects. (iii) intelligent education material, with a delivery app instrumented to register every action the user performs, analysis methods for this data and automatic adjustment of the content to personalize it to the student's context. (iv) Multi-modal models of learning analytics. These packages are built with innovative methods of data analysis, content recommender systems and activity recognition. The project encompasses interdisciplinary research, requiring a combination of social computing, ambient intelligent, data mining, learning analytics and others. It is necessary to research and develop new models for classifying and understanding individuals' behaviour and behaviour in a group in a learning context, based on data from usage data, ambient sensors, camera images, assessment results, and new devices capable of collecting human signals. In addition, the project promotes the ecosystem for development for Samsung devices, through its intimate connection to Samsung technoloy, as well as contributing directly to R&D in the country.. , Situação: Em andamento; Natureza: Pesquisa. , Integrantes: Andrew Koster - Integrante / Fernando Koch - Coordenador / Allysson Oliveira - Integrante / Tiago Primo - Integrante.
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2011 - Atual
Community-Building Information Technology, Descrição: Creating software applications that foster web-based social interaction is still very hard and currently beyond the capabilities of end-users, since highly skilled web application developers are needed. Consequently, the cost of community formation and evolution beyond those based on simple, general and stable interaction patterns is still too high. Individuals, however, looking either for new, partially formed, or already standing communities whose interactions are much more domain specific and specialised need software tools and platforms that support the formation of and the adjustment to communities, as well as the adaptation to new, perhaps dynamically evolving, events during a community?s lifespan. CBIT aims at transcending the current level of social software applications and platforms for community building into the meta-level for which today?s applications will arise as particular instances. For this we shall approach community building as an iterative process consisting of community formation, interaction, and growth. In CBIT a community is understood as a group of peers whose interactions are defined via agreements on social contracts on behaviour, meaning, and reliability, and represented in a community charter. Consequently, community building will be subject to the mechanisms to be developed in the scope of this project for charter specification and selection, charter grounding and enactment, and charter revision and modification. To concretise this approach, we shall realise it for a community-building process that fosters collaboration in the generation of digital educational contents.. , Situação: Em andamento; Natureza: Pesquisa. , Integrantes: Andrew Koster - Coordenador / Marco Schorlemmer - Integrante., Financiador(es): Ministerio de Ciencia e Innovación - Outra.
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2008 - Atual
Agreement Technlologies, Descrição: This project proposes a new paradigm for next generation distributed systems. The new paradigm will be structured around the concept of agreement between computational agents. These agreements must be consistent with the normative context where they are established and will permit, once accepted, that the agents call for mutual services and honour them. An entity, by the fact of being autonomous, may choose whether to fulfil an agreement or not, and it should fulfil them when there is an obligation to do so derived from the standing agreements. Autonomy, interaction, mobility and openness are the characteristics that the paradigm will cover from a theoretical and practical perspective. Semantic alignment, negotiation, argumentation, virtual organizations, learning, real time, and several other technologies will be in the sandbox to define, specify and verify such systems. Both functional and non-functional properties will be studied. Security on execution will be based on trust and reputation measures. These measures will help in the decision making of the agents to determine with whom to interact and what terms and conditions to accept. Virtual worlds technology will be explored to give high usability to the tools. Scalability will be guaranteed by the design of new algorithms for semantic alignment and through the use of electronic institutions. The project will also build algorithms, software platforms and three demonstrators on electronic procurement, mobile health and water conflict resolution.. , Situação: Em andamento; Natureza: Pesquisa. , Integrantes: Andrew Koster - Coordenador / Carles Sierra - Integrante., Financiador(es): Consolider-Ingenio - Outra.
Histórico profissional
Endereço profissional
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Samsung Eletrônica da Amazônia. , Avenida Cambacica 1200 B1, Parque dos Resedás, 13097160 - Campinas, SP - Brasil, Telefone: (19) 33480234
Experiência profissional
2014 - Atual
Samsung Eletronica da AmazoniaVínculo: Celetista, Enquadramento Funcional: Pesquisador, Carga horária: 42, Regime: Dedicação exclusiva.
2008 - 2012
Instituto Investigation en Intelligencia ArtificialVínculo: Formal labor contract, Enquadramento Funcional: Investigador Categoría G2, Carga horária: 40, Regime: Dedicação exclusiva.
Criando um monitoramento
Nossos robôs irão buscar nos nossos bancos de dados todos os processos de Andrew Koster e sempre que o nome aparecer em publicações dos Diários Oficiais, avisaremos por e-mail e pelo painel do usuário
Criando um monitoramento
Nossos robôs irão buscar nos nossos bancos de dados todas as movimentações desse processo e sempre que o processo aparecer em publicações dos Diários Oficiais e nos Tribunais, avisaremos por e-mail e pelo painel do usuário
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