zbMATH — the first resource for mathematics

Collaborative computer algebra. (English) Zbl 06856198
Kotsireas, Ilias S. (ed.) et al., Applications of computer algebra, Kalamata, Greece, July 20–23, 2015. Cham: Springer (ISBN 978-3-319-56930-7/hbk; 978-3-319-56932-1/ebook). Springer Proceedings in Mathematics & Statistics 198, 289-303 (2017).
Summary: A definition of Collaborative Computer Algebra as a field of research is proposed. The significance of this field is examined and theoretical frameworks that have the potential to form its foundation are surveyed. Furthermore, the state of the art and open questions of Collaborative Computer Algebra are discussed.
For the entire collection see [Zbl 1379.13001].

68W30 Symbolic computation and algebraic computation
Full Text: DOI
[1] 1. Autexier, S., David, C., Dietrich, D., Kohlhase, M., Zholudev, V.: Workflows for the management of change in science, technologies, engineering and mathematics. In: Davenport, J.H., Farmer, W.M., Urban, J., Rabe, F. (eds.) Intelligent Computer Mathematics. Lecture Notes in Computer Science, pp. 164-179. Springer, Berlin (2011) · Zbl 1278.68291
[2] 2. Ayyad, M.: Using the actor-network theory to interpret e-government implementation barriers. In: Proceedings of the 3rd International Conference on Theory and Practice of Electronic Governance, ICEGOV ’09, pp. 183-190. ACM, New York (2009)
[3] 3. Bardram, J., Doryab, A.: Activity analysis: applying activity theory to analyze complex work in hospitals. In: Proceedings of the ACM 2011 Conference on Computer Supported Cooperative Work, CSCW ’11, pp. 455-464. ACM, New York (2011)
[4] 4. Bell, F.: Network theories for technology-enabled learning and social change: connectivism and actor network theory. In: Networked Learning Conference 2010: Seventh International Conference on Networked Learning, Aalborg (2010)
[5] 5. Bell, F.: Connectivism: its place in theory-informed research and innovation in technology-enabled learning. Int. Rev. Res. Open Distance Learn. 12 (3), 98-118 (2010)
[6] 6. Bodker, S.: A human activity approach to user interfaces. Hum. Comput. Interact. 4 (3), 171-195 (1989)
[7] 7. Boitshwarelo, B.: Proposing an integrated research framework for connectivism: utilising theoretical synergies. Int. Rev. Res. Open Distance Learn. 12 (3), 161-179 (2011)
[8] 8. Burnett, M., Bogart, C., Cao, J., Grigoreanu, V., Kulesza, T., Lawrance, J.: End-user software engineering and distributed cognition. In: Proceedings of the 2009 ICSE Workshop on Software Engineering Foundations for End User Programming, SEEUP ’09, pp. 1-7. IEEE Computer Society, Washington (2009)
[9] 9. Carstea, A., Macariu, G., Frincu, M., Petcu, D.: Workflow management for symbolic grid services. In: 10th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2008. SYNASC ’08, pp. 373-379. (2008)
[10] 10. CICM Steering Committee.: CICM - Conferences on Intelligent Computer Mathematics.
[11] 11. Cohen, J.S.: Computer Algebra and Symbolic Computation: Mathematical Methods. A K Peters, Wellesley (2003)
[12] 12. Coskunay, D.F., Akir, M.P.: Examination of computer supported collaborative business process modeling with activity theory. In: Proceedings of the XV International Conference on Human Computer Interaction, Interacción ’14, pp.15:1-15:8. ACM, New York (2014)
[13] 13. Decker, W., Greuel, G.-M., Pfister,G., Schnemann, H.:
[14] 14. Decker, W., Greuel, G.-M., Pfister, G., Schönemann, H.:
[15] 15. Deelman, E., Gannon, D., Shields, M., Taylor, I.: Workflows and e-science: an overview of workflow system features and capabilities. Future Gener. Comput. Syst. 25 (5), 528-540 (2009)
[16] 16. Deolalikar p vs NP paper-polymath1wiki.
[17] 17. Downes, S.: An introduction to connective knowledge.
[18] 18. Downes, S.: Learning networks and connective knowledge. In: Yang, H.H., Yuen, S.C.Y. (eds.) Collective Intelligence and E-Learning 2.0: Implications of Web-Based Communities and Networking. IGI Global, Washington (2010)
[19] 19. Dumas, J.-G., Gautier, T., Pernet, C., Saunders, B.D.: LinBox founding scope allocation, parallel building blocks, and separate compilation. In: Mathematical SoftwareICMS 2010. pp. 77-83. Springer (2010) · Zbl 1294.68155
[20] 20. Dunaway, M.K.: Connectivism. Ref. Serv. Rev. 39 (4), 675-685 (2011)
[21] 21. Dweling, S., Schmidt, B., Gb, A.: A model for the design of interactive systems based on activity theory. In: Proceedings of the ACM 2012 Conference on Computer Supported Cooperative Work, CSCW ’12, pp. 539-548. ACM, New York (2012)
[22] 22. Engestrm, Y., Miettinen, R., Punamki-Gitai, R.-L. (eds.): Perspectives on Activity Theory. Cambridge University Press, Cambridge (1999)
[23] 23. Feigenbaum, L., Herman, I., Hongsermeier, T., Neumann, E., Stephens, S.: The semantic web in action. Sci. Am. 297 (6), 90-97 (2007)
[24] 24. Garijo, D., Alper, P., Belhajjame, K., Corcho, O., Gil, Y., Goble, C.: Common motifs in scientific workflows: an empirical analysis. Future Gener. Comput. Syst. 36 , 338-351 (2014)
[25] 25. Geszti, T.: Physical Models of Neural Networks. World Scientific Pub Co Inc, Singapore (1990) · Zbl 0743.92004
[26] 26. Gowers, T.: The polymath blog. · Zbl 1223.05305
[27] 27. Gräbe, H.-G., Nareike, A., Johanning, S: The SymbolicData ProjectTowards a Computer Algebra Social Network (2014)
[28] 28. Grabmeier, J.: Computeralgebra-eine Säule des Wissenschaftlichen Rechnens/Computer-Algebra—a part of the Foundation of Scientific Computing. Inform. Technol. 37 (6), 5-30 (1995)
[29] 29. Gunawong, P., Gao, P.: Challenges of egovernment in developing countries: actor-network analysis of Thailand’s smart ID card project. In: Proceedings of the 4th ACM/IEEE International Conference on Information and Communication Technologies and Development, ICTD ’10, pp. 17:1-17:9. ACM, New York (2010)
[30] 30. Halloran, J., Rogers, Y., Scaife, M.: Taking the ’No’ out of lotus notes: activity theory, groupware, and student groupwork. In: Proceedings of the Conference on Computer Support for Collaborative Learning: Foundations for a CSCL Community, CSCL ’02, pp. 169-178. International Society of the Learning Sciences, Boulder (2002)
[31] 31. Halpin, H.: Does the web extend the mind? In: Proceedings of the 5th Annual ACM Web Science Conference, WebSci ’13, pp. 139-147. ACM, New York (2013)
[32] 32. Halverson, CA.: Inside the cognitive workplace: new technology and air traffic control. (Doctoral dissertation, University of California, San Diego) (1995)
[33] 33. Halverson, C.A.: Activity theory and distributed cognition: or what does CSCW need to DO with theories? Comput. Support. Coop. Work (CSCW) 11 (1-2), 243-267 (2002)
[34] 34. Hammond, J., Koubek, R.J., Harvey, C.M.: Distributed collaboration for engineering design: a review and reappraisal. Hum. Factors Ergon. Manuf. 11 (1), 35-52 (2001)
[35] 35. Heinle, A., Levandovskyy, V.: The SDEval benchmarking toolkit. ACM Commun. Comput. Algebra 49 (1), 1-9 (2015) · Zbl 1365.68493
[36] 36. Henneke, M., Matthee, M.: The adoption of e-learning in corporate training environments: an activity theory based overview. In: Proceedings of the South African Institute for Computer Scientists and Information Technologists Conference, SAICSIT ’12, pp. 178-187. ACM, New York (2012)
[37] 37. Hollan, J., Hutchins, E., Kirsh, D.: Distributed cognition: toward a new foundation for human-computer interaction research. ACM Trans. Comput. Hum. Interact. 7 (2), 174-196 (2000)
[38] 38. Hutchins, E.: Distributed cognition. In: Internacional Enciclopedia of the Social and Behavioral Sciences (2000)
[39] 39. Hutchins, E.: How a cockpit remembers its speeds. Cognit. Sci. 19 (3), 265-288 (1995)
[40] 40. IEEE.: IEEE computer society-premier organization of computer professionals.
[41] 41. Informa UK Limited.: International Journal of Computer Mathematics. ISSN 1029-0265
[42] 42. Kaldoudi, E., Dovrolis, N., Dietze, S.: Information organization on the internet based on heterogeneous social networks. In: Proceedings of the 29th ACM International Conference on Design of Communication, SIGDOC ’11, pp. 107-114. ACM, New York (2011)
[43] 43. Kirschman, J.S., Greenstein, J.S.: The use of groupware for collaboration in distributed student engineering design teams. J. Eng. Educ. 91 (4), 403-407 (2002)
[44] 44. Kumar, N., Rangaswamy, N.: The mobile media actor-network in Urban India. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI ’13, pp. 1989-1998. ACM, New York (2013)
[45] 45. Kuutti, K.: Activity theory as a potential framework for human-computer interaction research. In: Nardi, B.A. (ed.) Context and Consciousness: Activity Theory and Human-Computer Interaction. MIT Press, Cambridge (1996)
[46] 46. Latour, B.: Reassembling the Social: An Introduction to Actor-Network-Theory. Oxford University Press, Oxford (2007)
[47] 47. Latour, B., Woolgar, S.: Laboratory Life: The Construction of Scientific Knowledge. Princeton University Press, Princeton (1986)
[48] 48. Law, J.: Actor-network theory and material semiotics. In: Turner, B.S. (ed.) The New Blackwell Companion to Social Theory, 3rd edn, pp. 141-158. Blackwell, Oxford (2008)
[49] 49. Leont’ev, A.: The problem of activity in psychology. J. Russ. East Eur. Psychol. 13 (2), 4-33 (1974)
[50] 50. Linton, S., Hammond, K., Konovalov, A., Brown, C., Trinder, P.W., Loidl, H.W., Horn, P., Roozemond, D.: Easy composition of symbolic computation software using SCSCP: a new Lingua Franca for symbolic computation. J. Symb. Comput. 49 , 95-119 (2013) · Zbl 1253.68371
[51] 51. Lu, S.Y., Elmaraghy, W., Schuh, G., Wilhelm, R.: A scientific foundation of collaborative engineering. CIRP Ann. Manuf. Technol. 56 (2), 605-634 (2007)
[52] 52. MathOverflow.: MathOverflow site.
[53] 53. Minimair, M.: Collaborative Computer Algebra Systems. Applications of Computer Algebra (ACA) (2014) · Zbl 06856198
[54] 54. Minimair, M.: Collaborative computer algebra: review of foundations. Applications of Computer Algebra (ACA) (2015)
[55] 55. Monell, D.W., Piland, W.M.: Aerospace systems design in NASA’s collaborative engineering environment. Acta Astronaut. 47 (2), 255-264 (2000)
[56] 56. Moran, S. Nakata, K., Inoue, S.: Bridging the analytical gap between distributed cognition and actor network theory using a tool for information trajectory analysis. In: Proceedings of the 30th European Conference on Cognitive Ergonomics, ECCE ’12, pp. 72-77, ACM, New York (2012)
[57] 57. Nardi, B.A.: Studying context: a comparison of activity theory, situated action models, and distributed cognition. Context Conscious. pp. 69-102. (1996)
[58] 58. National Science Foundation.: US NSF-CISE-IIS-Cyber-Human Systems (CHS).
[59] 59. Neale, D.C., Carroll, J.M., Rosson, M.B.: Evaluating computer-supported cooperative work: models and frameworks. pp. 2-121. ACM (2004)
[60] 60. Newstetter, W., Johri, A., Wulf, V.: Laboratory learning: industry and University Research as site for situated and distributed cognition. In: Proceedings of the 8th International Conference on International Conference for the Learning Sciences-Volume 3, ICLS’08, pp. 290-297. International Society of the Learning Sciences, Utrecht (2008)
[61] 61. Nobarany, S., Haraty, M., Fisher, B.: Facilitating the reuse process in distributed collaboration: a distributed cognition approach. In: Proceedings of the ACM 2012 Conference on Computer Supported Cooperative Work, CSCW ’12, pp. 1223-1232. ACM, New York (2012)
[62] 62. Pelizza, A.: Openness as an asset: a classification system for online communities based on actor-network theory. In: Proceedings of the 6th International Symposium on Wikis and Open Collaboration, WikiSym ’10, pp. 8:1-8:10, ACM, New York (2010)
[63] 63. planetmath.org | math for the people, by the people.
[64] 64. Popper, K.R.: Conjectures and Refutations: The Growth of Scientific Knowledge. Psychology Press, New York (2002)
[65] 65. Rajkomar A., Blandford, A.: Distributed cognition for evaluating healthcare technology. In: Proceedings of the 25th BCS Conference on Human-Computer Interaction, BCS-HCI ’11, pp. 341-350, British Computer Society, Swinton (2011)
[66] 66. Randall, D.P., Diamant, E.I., Lee, C.P.: Creating sustainable cyberinfrastructures. In: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, CHI ’15, pp. 1759-1768, ACM, New York (2015)
[67] 67. Rousseau, J.J.: Historical case study of the supernet consortium: investigating change management and the concepts of connectivism and distributed professional learning communities. ProQuest (2007)
[68] 68. Saguna, S., Zaslavsky, A., Chakraborty, D.: Complex activity recognition using context-driven activity theory and activity signatures. ACM Trans. Comput. Hum. Interact. 20 (6), 1-32 (2013)
[69] 69. Siemens, G.:
[70] 70. Siemens, G.: Connectivism: a learning theory for the digital age. Int. J. Instruct. Technol. Distance Learn. 2 (1), 3-10 (2005)
[71] 71. SIGCHI.: Welcome SIGCHI.
[72] 72. Stahl, G.: Studying Virtual Math Teams. Springer, Berlin (2009) · Zbl 1178.00016
[73] 73. Stein, W.A.: Sage notebook.
[74] 74. Steinberg, S., Wester, M.: Conferences on Applications of Computer Algebra · Zbl 0548.68032
[75] 75. Strong, K., Hutchins, H.M.: Connectivism: a theory for learning in a world of growing complexity. Impact 1 (1), 53-67 (2009)
[76] 76. The 2012 ACM Computing Classification System Association for Computing Machinery
[77] 77. The GAP Group.: GAP system for computational discrete algebra.
[78] 78. The GAP Group.: GAP-Groups, Algorithms, and Programming, Version 4.7.8 (2015)
[79] 79. Tinmaz, H.: Social networking websites as an innovative framework for connectivism. Contemp. Educ. Technol. 3 (3), 234-245 (2012)
[80] 80. Ugalde, L.R.:
[81] 81. van der Hoeven, J.: GNU TeXmacs. SIGSAM Bull. 38 (1), 24-25 (2004)
[82] 82. van der Hoeven, J., Lecerf, G., Mourrain, B.: Mathemagix. Accessed 19 Oct 2014
[83] 83. Vygotsky, L.S.: Mind in Society: The Development of Higher Psychological Processes. Harvard University Press, Cambridge (1980)
[84] 84. Waterloo Maple, Inc. Maplesoft-technical computing software for engineers, mathematicians, scientists, instructors and students.
[85] 85. Waycott, J., Jones, A., Scanlon, E.: PDAs as lifelong learning tools: an activity theory based analysis. Learn. Media Technol. 30 (2), 107-130 (2005)
[86] 86. Wolfram Research.: Wolfram: computation meets knowledge.
[87] 87. Xing, W., Wadholm, B., Goggins, S.: Learning analytics in CSCL with a focus on assessment: an exploratory study of activity theory-informed cluster analysis. In: Proceedings of the Fourth International Conference on Learning Analytics And Knowledge, LAK ’14, pp. 59-67, ACM, New York (2014)
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.