Mas teams slides_final

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Multiagent Systems as a Team Member: Presented at the 9th International Technology, Knowledge, and Society Conference in Vancouver, Canada. Presented by Common Ground Publishing - 2013.

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Mas teams slides_final

  1. 1. Multiagent Systems as a Team Member John R. Turner The University of North Texas College of Information Department of Learning Technologies www.lt.unt.eduBlog: johnrturnerhptresource@blogspot.comTwitter: @ johnrturnerHPT 1
  2. 2. “As the complexity of the workplace continues togrow, organizations increasingly depend on teams.” (Salas, Cooke, & Rosen, 2008, p. 540) 2
  3. 3. “Knowledge is created through social interactions, interactionsbetween implicit and explicit knowledge, known as knowledgeconversion.”(Nonaka, von Krogh, & Voelpel, 2006) 3
  4. 4. INDIVIDUAL KNOWLEDGE Unshared  Knowledge   KNOWLEDGE Implicit  Knowledge   (Unique  Knowledge)   Knowledge   Conversion   TEAM Explicit  Knowledge   Shared  Knowledge   4
  5. 5. Discussing unshared knowledge contributesto a team’s collective knowledge base whilediscussing shared knowledge does not. I ER RR(Larson, Foster-Fishman, Keys, 1994) B A D GE LE N OW K R ED S HA Shared knowledge is more likely to be discussed UN during discussion and decision-making activi- ties. When unshared knowledge is discussed it is often not considered. (Bromme et al., 2005; Wittenbaum et al., 1999) 5
  6. 6. RESEARCH QUESTIONSHOW DO YOU INCREASE DISCUSSION AND CONSIDER-ATION OF UNSHARED KNOWLEDGE ? ????HOW DO YOU TRANSFER UNSHARED KNOWLEDGE TOSHARED KNOWLEDGE FOR MORE EFFECTIVE TEAMDECISION MAKING ? ???? 6
  7. 7. TEAM CONSTRUCTS FROM RESEARCHPSYCHOLOGICAL SAFETY TEAM COHESION 7
  8. 8. TEAM CONSTRUCTS FROM RESEARCHTEAM MEMBERSHIP TEAM CONFLICT 8
  9. 9. TEAM CONSTRUCTS FROM RESEARCHWEB 2.0 & 3.0 TECHNOLOGIES TRANSACTIVE MEMORY SYSTEMS 9
  10. 10. TEAM CONSTRUCTS FROM RESEARCHTEAM TRAINING COGNITIVELY CENTRAL GROUP MEMBERS 10
  11. 11. INTELLIGENT / MULTIAGENT SYSTEMSIn this age of complexity with an exponential growth ofdata it is difficult to process information of decision-making tasks.(Hackman, 2011; Sycara et al., 1996) Intelligent software agents are one means to address this issue of complexity. (Hackman, 2011; Sycara et al., 1996) 11
  12. 12. INTELLIGENT SOFTWARE AGENT - TASKS• Locating and accessing information from various on-line in- formation sources• Resolving inconsistencies in the retrieved information• Filtering away irrelevant or unwanted information• Integrating information from heterogeneous information sources• Adapting over time to human users’ information needs and the shape of the infosphere (Sycara et al., 1996, p. 36) 12
  13. 13. MULTIAGENT SYSTEMS (MAS)MAS are composed ofa number of individualintelligent agents.MAS are intelligent due to their capability to learn,making them attractive during problem solving anddecision making activities. (Iantovics, 2010) 13
  14. 14. ELECTRIC ELVESElectric Elves provided the followingunique functions:• the software agent acted on behalf of the human user,• the software agent made decisions with no input from the human user, and• the software agents’ decision was based on input from the human user. (Chalupsky et al., 2002) 14
  15. 15. MemeXerciserDeveloped by Matt Lee from Carnegie Mellon...“emerging class of intelligent devices meant to provide supportfor people with cognitive decline from Alzheimers and other con-ditions” (Carroll, 2010) 15
  16. 16. MULTIAGENT SYSTEMS -cont.-Research conducted by Fan, Chen, and Yen (2010) using human-agent pairs showed that human-agent pairs were better able to“estimate other team members’ cognitive load allow[ing] them toshare the needed information with the right party at the right time.”(p. 117)MAS have the potential to consider shared and unshared knowledgeequally, resulting in better decision making abilities. This leads us to the following Team-MAS Model: 16
  17. 17. Team MemberMultiagent System (TM-MAS) Psychological Safety * TM #1 - MAS Team Cohesion * TM #N - MAS TM #2 - MAS Team Membership * Team Multiagent System Team Conflict * TM #4 - MAS TM #3 - MAS Web 2.0 & 3.0 Technologies * TransactiveMemory Systems * Team Training *Cognitive CentralGroup Members ** Individual Intelligent Agent 17
  18. 18. CONCLUSION Thank - You Questions?Blog: johnrturnerhptresource@blogspot.comTwitter: @ johnrturnerHPT 18
  19. 19. References:Bromme, R., Hesse, F. W., & Spada, H. (2005). Barriers, biases and opportunites of communication and cooperation with computers: Introduc-tion and overview. In R. Bromme, F. W. Hesse, & H. Spada (Eds.), Barriers and biases in computer-mediated knolwedge communication - andhow they may be overcome (pp. 1-14). New York: Springer.Carroll, C. (September 27, 2010). Technology solutions for age-related ills. AARP Bulletin. Retreived from http://www.aarp.org/technology/in-novations/info-09-2010/techno_solutions_for_agerelated_ills.htmlChalupsky, H. , Gil, Y., Knoblock, C. A., Lerman, K., Oh, J., Pynadath, D. V., Russ, T. A., & Tambe, M. (2002). Electric elves: Agent technologyfor supporting human organizations. AI Magazine, 23(2), 11-24. Retrieved from http://www.aaai.org/Library/magazinelibrary.phpHackman, R. J. (2011). Collaborative Intelligence: Using teams to solve hard problems. San Francisco, CA: Berrett-Koehler.Iantovics, B. (2010). Cognitive medical multiagent systems. BRAIN, Broad Research in Artificial Intelligence and Neuroscience, 1, 12-21. Re-trieved from http://www.broadresearch.orgLarson, J. R., Jr., Foster-Fishman, P. G., & Keys, C. B. (1994). Discussion of shared and unshared information in decision-making groups. Jour-nal of personality and social psychology, 67(3), 446-462. Retrieved from http://www.apa.prg.pubs/journals/psp/index.aspxLee, M., & Dey, A. (2008, July). Lifelogging Memory Aid for People with Alzheimer’s Disease. Retrieved from www.cs.cmu.edu/~mllee/mem.html 19
  20. 20. References -cont.-Nonaka, I., von Kroght, & Voelpel, S. (2006). Organizational knowledge creation theory: Evolutionary paths and future advances. OrganizationStudies, 27(8), 1179-1208. doi: 10.1177/017084060606066312Salas, E., Cooke, N. J., & Rosen, M. A. (2008). On teams, teamwork, and team performance: Discoveries and developments. Human Factors: TheJournal of the Human Factors and Ergonomics Society, 50(3), 540-547. doi: 10.1518/001872008X288457Schreiber, M., & Englemann, T. (2010). Knowledge and information awareness for initiating transactive memory system processes of computer-supported collaborating ad hoc groups. Computers in Human Behavior, 26, 1701-1709. doi: 10.1016/j.chb.2010.06.019Sycara, K., Pannu, A., Williamson, M., Zeng, D., & Decker, K. (1996). Distributed intelligent agents. IEEE expert, 11(6), 36-46. doi:10.1109/64.546581Wittenbaum, G. M., Hubbell, A. P., & Zuckerman, C. (1999). Mutual enhancement: Toward an understanding of the collective preference forshared information. Journal of Personality and Social Psychology, 77(5), 967-978. Retrieved from http://www.apa.org/pubs/journals/psp/index.aspx 20
  21. 21. Figures:SLIDE #6: Question Mark - by Danilo Rizzuti at www.freedigitalphotos.netSLIDE #7: Psychological Safety - by digitalart at www.freedigitalphotos.netSLIDE #7: Team Cohesion - by idea go at www.freedigitalphotos.netSLIDE #8: Team Membership - by Danilo Rizzuti at www.freedigitalphotos.netSLIDE #8: Team Conflict - by coodesign at www.freedigitalphotos.netSLIDE #9: Web 2.0 & 3.0 Technologies - by digitalart at www.freedigitalphotos.netSLIDE #9: Transactive Memory Systems - by renjith Krishman at www.freedigitalphotos.netSLIDE #10: Team Training - by David Castillo Dominici at www.freedigitalphotos.netSLIDE #10: Cognitive Central Group Member - by jscreationzs at www.freedigitalphotos.netSLIDE #13: Multiagent Systems, blocks - by renjith Krishnan at www.freedigitalphotos.netSLIDE 14: Electric ElfChalupsky, H., Gil, Y., Knoblock, C. A., Lerman, K., Oh, J., Pynadath, D. V., Russ, T. A., & Tambe, M. (2001). Electric Elves: Applying agent technol-ogy to support human organizations. American Association for Artificial Intelligents. Retrieved from www.isi.edu/e-elves/papers/iaai2000.pdfSLIDE #15: MemeXerciserCarroll, C. (September 27, 2010). Technology solutions for age-related ills. AARP Bulletin. Retreived from http://www.aarp.org/technology/innova-tions/info-09-2010/techno_solutions_for_agerelated_ills.htmlSLIDE #16: Baloons - by maple at www.freedigitalphotos.net 21

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