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Abstract

In previous chapters, we have addressed general concepts concerning collaboration, decision-making, and decision support systems, specific methods to be used by groups, and technologies that influence the development and usage of the information tools meant to support multi-participant collaborative decision processes.

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References

  • Bărbat B E, Negulescu S C, Zamfirescu C B (2005) Human-driven stigmergic control. moving the threshold. In: Proceedings of the 17th IMACS World Congress - Scientific Computation, Applied Mathematics and Simulation, Paris: p. 86–92.

    Google Scholar 

  • Berkhin P (2006) A Survey of clustering data mining techniques. In: Grouping Multidimensional data. Recent Advances in Clustering, Kogan J, Nicholas C, Teboulle M eds. Springer Berlin Heidelberg, Berlin: p 25–71.

    Google Scholar 

  • Bollier D (2010) The Promise and Peril of Big Data. Aspen Institute, Washington DC.

    Google Scholar 

  • Borne P, Popescu D, Filip F G, Stefanoiu D (2013) Optimization in Engineering Sciences. Exact Metods, J. Wiley & Sons, London.

    Google Scholar 

  • Brandas C, Panzaru C (2015) Analysing of the labour demand and supply using web mining and data mining in Romania. In: Big Data and the Complexity of Labour Market Policies: New Approaches in Regional and Local Labour Market Monitoring for Reducing Skills Mismatches, Larsen C, Rand S, Schmid A, Mezzanzanica M, Dusi S eds. Rainer Hampp Verlag, Munchen: p 71–86.

    Google Scholar 

  • Brandas C, Panzaru C, Filip F G (2016) Data driven decision support systems: an application case in labour market analysis. ROMJIST, 19(1-2): 65–77.  

    Google Scholar 

  • Buzan T (2005) The ultimate Book of Mind Maps: Unlock Your Creativity, Boost Your Memory, Change Your Life, HarperCollins.

    Google Scholar 

  • Cândea C, Cândea G (2011) i-Portal and Factory Hu In: Digital Factory for Human Centred Production Systems, Caneta L, Flores M, Redaelli, C, eds, Springer, London: p. 271–282.

    Google Scholar 

  • Cândea C, Cândea G, Filip F G (2012) iDecisionSupport – Web-based framework for decision support systems, In: Proceedings, 14th IFAC Symposium on Information Control Problems in Manufacturing, INCOM 2012: p. 1117–1122.

    Google Scholar 

  • Candea C, Georgescu A, Candea G (2008) iPortal-Management Framework for Mobile Business. In: Proceedings of the International Conference on Manufacturing Science and Education MSE 2009, Sibiu, Romania, 4–6 June.

    Google Scholar 

  • Candea G, Candea C, Radu C, Terkaj W, Sacco M, Suciu O. (2012) A practical use of the Virtual Factory Framework. In: 14th International Conference on Modern Information Technology in the Innovation Process of the Industrial Enterprises, Budapest, Hungary. (Available at at https://igor.xen.emi.sztaki.hu/mitip/media/MITIP2012_proceedings.pdf#page=256%20(literal) accessed on 26.01.2016).

  • Candea, C, Filip F G (2016) Towards intelligent collaborative decision support platforms. Studies in Informatics and Control, 25(2): 143–152.

    Google Scholar 

  • Carley K M (1999) On generating hypotheses using computer simulations. In: Proceedings of the 1999 International Symposium on Command and Control Research and Technology. Evidence Based Research, Vienna.

    Google Scholar 

  • Clark, J (1999) Xsl transformations (xslt). World Wide Web Consortium (W3C) (available at http://www.w3.org/TR/xslt accessed on 25.01.2015).

  • Conklin J, Begeman M L (1988) gIBIS: A hypertext tool for exploratory policy discussion. ACM Transactions on Information Systems (TOIS), 6(4): 303–331.

    Google Scholar 

  • Conklin, J. (2003) The IBIS Manual: A Short Course in IBIS Methodology. Touchstone.

    Google Scholar 

  • Dorrer J (2015) Analyzing labor markets in real time. In: The university next door: what is a Comprehensive University, Who Does It Educate, and Can It Survive? Schneider M, Deane K C eds. Teachers College Press, Amsterdam: p 149–172.

    Google Scholar 

  • Dusi S, Mercorio F, Mezzanzanica M (2015) Big data meets web job vacancies: trends, challenges and development directions. In: Big Data and the Complexity of Labour Market Policies: New Approaches in Regional and Local Labour Market Monitoring for Reducing Skills Mismatches, Larsen C, Rand S, Schmid A, Mezzanzanica, M, Dusi, S. Eds. Rainer Hampp Verlag, Munchen: p 31–44.

    Google Scholar 

  • Elliott M A (2007). Stigmergic Collaboration: A Theoretical Framework for Mass Collaboration, PhD Thesis, Centre for Ideas, Victorian College of the Arts, The University of Melbourne.

    Google Scholar 

  • Fayyad U, Piatetsky-Shapiro G, Smyth P (1996) From data mining to knowledge discovery in databases. AI Magazine 17(3): 37–54.

    Google Scholar 

  • Filip F G (1995) Towards more humanized real-time decision support systems. In: Balanced Automation Systems: Architectures and Design Methods, Camarinha-Matos L, Afsarmanesh, H eds. Chapman & Hall, London: p. 230–240.

    Google Scholar 

  • Filip F G (2011) Designing and building modern information systems: a series of decisions to be made. Computer Science Journal of Moldova: 119–129.

    Google Scholar 

  • Filip F G (2012) A decision-making perspective for designing and building information systems. International Journal of Computers Communications & Control, 7(2): 264–272.

    Google Scholar 

  • Finin T, Fritzson R, McKay D, McEntire R (1994) KQML as an agent communication language. In: Proceedings of the third international conference on Information and knowledge management, ACM: p. 456–463.

    Google Scholar 

  • Georgescu V, Candea C, Zamfirescu CB (2007) iGDSS - Software framework for group decision support systems, In: Proceedings, The Bad and The Unexpected Conference, Sapio B, Fortunati L, Haddon L, Kommonen K-H, Mante-Meijer E, Turk T, eds. COST Action 298 Participation in the Broadband Society – European Science Foundation, Moscow, (available at: http://www.iis.ru/en/content/view/328/91/, accessed on 25.01.2016).

  • Grassé P P (1953) La theorie de la stigmergie: essai d’interpretation du comportement des termites constructeurs, Insectes Sociaux, 6: 41–81.

    Google Scholar 

  • Grosz B, Kraus S (1996) Collaborative plans for complex group action. Artificial Intelligence, 86: 269–357.

    Google Scholar 

  • Guerin S, Kunkle D (2004) Emergence of constraint in self-organizing systems, Nonlinear Dynamics, Psychology, and Life Sciences, 8(2): 131–146.

    Google Scholar 

  • Hartigan JA, Wong, MA. (1979) Algorithm AS 136: A k-means clustering algorithm. Applied Statistics 28(1):100–108.

    Google Scholar 

  • Herrera F, Herrera-Viedma E., 1996. A model of consensus in group decision making under linguistic assessments. Fuzzy sets and Systems, 78(1), pp. 73–87.

    Google Scholar 

  • Heylighen F (1999) Collective intelligence and its implementation on the Web, Computational and Mathematical Organization Theory, 5: 253–280.

    Google Scholar 

  • Heylighen F (2016) Stigmergy as a universal coordination mechanism I: Definition and components, Cognitive Systems Research, Elsevier, 38:4–13.

    Google Scholar 

  • Hilbert M (2013) Big Data for Development: From information- to knowledge societies. SSRN. doi:10.2139/ssrn.2205145.

  • Hutchins E (1995) Cognition in The Wild. Cambridge, MIT Press.

    Google Scholar 

  • Jain S, (1995) Virtual factory framework: a key enabler for agile manufacturing. In: Emerging Technologies and Factory Automation, 1995. ETFA’95, Proceedings. 1995 INRIA/IEEE Symposium on, Vol. 1, IEEE: pp. 247–258).

    Google Scholar 

  • Javed F, McNair M, Jacob F, Zhao, M (2014) Towards a job title classification system. In: Proceedings of the 1st Workshop on Web-Scale Classification: Classifying Big Data from the Web, New York City, February 2014.

    Google Scholar 

  • Keen P (1980) Adaptive design for decision support systems. Data Base 12(1): 15–25.

    Google Scholar 

  • Kreibich R (2015) Von big zu smart – zu sustainable? (available at: http://www.bpb.de/apuz/202244/von-big-zu-smart-zu-sustainable?p=all, accessed 10 Dec 2015).

  • Kureková LM., Beblavy M, Thum AE. (2014) Using internet data to analyse the labour market: a methodological enquiry. IZA Discussion Papers 8555: 3–25.

    Google Scholar 

  • Lantra (2005) Northern Ireland Labor Market Intelligence. Lantra House, Warwickshire.

    Google Scholar 

  • Larsen C, Rand S (2015) Introduction. In: Big Data and the Complexity of Labour Market Policies: New Approaches in Regional and Local Labour Market Monitoring for Reducing Skills Mismatches, Larsen C, Rand S, Schmid A, Mezzanzanica M, Dusi S eds. Rainer Hampp Verlag, Munchen: p 11–30.

    Google Scholar 

  • Luce D (1959) Individual Choice Behaviour, Wesley, New York.

    Google Scholar 

  • Mackenzie A, Pidd M, Rooksby J, Sommerville, I, Warren I. and Westcombe M (2006) Wisdom, decision support and paradigms of decision making. European Journal of Operational Research, 170(1): 56–171.

    Google Scholar 

  • Nardi B A (1996) Studying context: a comparison of activity theory, situated action models, and distributed cognition. In: Context and consciousness: activity theory and human-computer interaction, edited by Nardi B, MIT Press.

    Google Scholar 

  • Oprean C, Kifor C V, Negulescu S C, Candea C, Oprean C. (2009) e-Collaborative Decisions – a DSS for academic environment. In: Proceedings of the, World Congress on Science, Engineering and Technology & International Conference on Computer, Electrical, and Systems Science, and Engineering: p. 173–179.

    Google Scholar 

  • Oprean C, Moisil I, Candea C (2002) eUniv: an e-business solution for a university academic environment. In: Proceedings of 3 rd Global Congress on Engineering Education, Glasgow, UK: p. 363–366.

    Google Scholar 

  • Parunak H V D (2006) A survey of environments and mechanisms for human-human stigmergy, Lecture Notes on Artificial Intelligence, Springer, 3830: 163–186.

    Google Scholar 

  • Parunak H V D, Brueckner S A (2009) The cognitive aptitude of swarming agents, available at: http://www.soartech.com/images/uploads/file/The_Cognitive_Aptitude_of_Swarming_Agents.pdf, accessed on 30.07.2016.

  • Parunak V H D, Brueckner S A, Sauter J A, Matthews R (2005) Global convergence of local agent Behaviors, In: Proceedings of the 4th International Joint Conference on Autonomouse Agents and Multi. Agent Systems (AAMAS), Utrecht, Netherlands.

    Google Scholar 

  • Power D J, Phillips-Wren G (2011) Impact of social media and Web 2.0 on decision-making. Journal of decision systems, 20(3): 249–261.

    Google Scholar 

  • Precup R E, Hellendoorn H (2011) A survey on industrial applications of fuzzy control. Computers in Industry, 62(3): 213–226.

    Google Scholar 

  • Radu C, Cândea C, Cândea G., Zamfirescu CB (2014) Towards a cloud-based group decision support system, In: Recent Developments in Computational Collective Intelligence, A. Bădică et al. eds, Studies in Computational Intelligence 513, Springer: p. 187–196.

    Google Scholar 

  • Rosen D, Suthers D D (2011) Stigmergy and collaboration: tracing the contingencies of mediated interaction. In: Proceedings of the 44th Hawaiian Int. Conf. on System Sciences, IEEE Press: p. 1–10.

    Google Scholar 

  • Rourea D D, Goble C, Stevens R (2009) The design and realisation of the my Experiment virtual research environment for social sharing of workflows, Future Generation Computer Systems, 25: 561–567.

    Google Scholar 

  • Sacco M, Radaelli C, Cândea C, Georgescu V (2009). In 2009 IEEE International Technology Management Conference (ICE) IEEE: p. 1–8.

    Google Scholar 

  • Sacco M, Redaelli C, Constantinescu C, Lawson G, D’Cruz M, Pappas M (2007) Difac: digital factory for human oriented production system. In: Human-Computer Interaction. HCI Applications and Services, Part IV, HCII 2007, LNCS 4552 Springer, Berlin: p. 1140–1149.

    Google Scholar 

  • Schneider M, Deane KC. eds (2014) The University Next Door: What Is A Comprehensive University, Who Does It Educate, and Can It Survive? Teachers College Press, Amsterdam.

    Google Scholar 

  • Sebastiani F (2002). Machine learning in automated text categorization. ACM computing surveys (CSUR), 34(1): 1–47.

    Google Scholar 

  • Skitas N, Zimmermann KF (2015) The Internet as a data source for advancement in social sciences. IZA Discussion Papers 8899.(available at: ftp: ftp.iza.org/dp8899.pdf., accessed 10 Dec 2015.

    Google Scholar 

  • Susi T, Ziemke T (2001) Social cognition, artefacts, and stigmergy: a comparative analysis of theoretical frameworks for the understanding of artefact-mediated collaborative activity, Cognitive Systems Research, 2(4): 273–290.

    Google Scholar 

  • Teknomo K (2007) K-Means Clustering Tutorials (available at: http://people.revoledu.com/kardi/tutorial/kMean, accessed 17.12.2015).

  • Thuy P, Hansen E, Price D (2001) The Public Employment Service in A Changing Labour Market. International Labour Office, Geneva.

    Google Scholar 

  • Wilensky U (1999) NetLogo, Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston (available at: http://ccl.northwestern.edu/netlogo/ accessed on 30.07.2016).

  • Woods JF., O’Leary CJ. (2006) Conceptual Framework for An Optimal Labour Market Information System: Final Report. Upjohn Institute Technical Report 07–022. doi:10.17848/tr07-022.

    Google Scholar 

  • Zamfirescu B C, Candea C, Radu, C (2014). A stigmergic approach for social interaction design in collaboration engineering. Neurocomputing, 146:151–163.

    Google Scholar 

  • Zamfirescu C B, Candea C (2011) Planning in collaborative stigmergic workspaces. In Computational Collective Intelligence. Technologies and Applications, Part II, edited by Jedrzejowicz P, Thanh Nguyen N, Hoang K, Lecture Notes in Computer Science, 6923, Springer: p. 160–169.

    Google Scholar 

  • Zamfirescu C B, Candea C (2012) A stigmergic guiding system to facilitate the group decision process. In: Proceedings of 28th IEEE International Conference on Data Engineering, IEEE Press, Washington: p. 98–102.

    Google Scholar 

  • Zamfirescu C B, Candea C, Luca M (2002). On integrating agents into GDSS. In: Large Scale Systems: Theory and Applications. Proceedings of the 9th IFAC / IFORS / IMACS / IFIP/ Symposium, Filip F G, Dumitrache I, Iliescu S S eds. Pergamon Press, Oxford: p. 433–438.

    Google Scholar 

  • Zamfirescu C B, Candea C (2013). On Interacting with collective knowledge of group facilitation. In: 5th International Conference on Computational Collective Intelligence Technologies and Applications – ICCCI 2013, LNAI 808: p. 255–265.

    Google Scholar 

  • Zamfirescu C B, Filip F G (2010) Swarming models for facilitating collaborative decisions, Int. J. of Computers, Communications & Control, 5(1): 125–137.

    Google Scholar 

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Correspondence to Florin Gheorghe Filip .

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Filip, F.G., Zamfirescu, CB., Ciurea, C. (2017). Applications. In: Computer-Supported Collaborative Decision-Making. Automation, Collaboration, & E-Services, vol 4. Springer, Cham. https://doi.org/10.1007/978-3-319-47221-8_5

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