Human-agent collectives

Communications of the ACM

Volumn 57, Issue 12, 2014, Pages 80-88

  Jennings, N R ^a   Moreau, L ^a   Nicholson, D ^b   Ramchurn, S ^a   Roberts, S ^c   Rodden, T ^d   Rogers, A ^a  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^b EPSRC   (United Kingdom)

^c UNIVERSITY OF OXFORD   (United Kingdom)

^d UNIVERSITY OF NOTTINGHAM   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER APPLICATIONS; COMPUTER SCIENCE;

AUTONOMOUS SOFTWARE; COLLECTIVE GOALS; HUMAN ACTIVITIES; HUMAN ASPECTS; NEW SCIENCE; PRIVACY CONCERNS; SMART SOFTWARES; SOCIOTECHNICAL SYSTEMS;

SOFTWARE AGENTS;

EID: 84914708568     PISSN: 00010782     EISSN: 15577317     Source Type: Journal    
DOI: 10.1145/2629559     Document Type: Review

References (40)

1. Abowd, G.D., Ebling, M., Hung, G., Lei, H., and Gellersen, H.W. Context-aware computing. IEEE Pervasive Computing 1, 3 (2002) 22-23.
2. Ariely, D., Bracha, A. and Meier, S. Doing good or doing well? Image motivation and monetary incentives in behaving prosocially. American Economic Review 99, 1 (2007), 544-55.
3. Buneman, P., Cheney, J. and Vansummeren, S. On the expressiveness of implicit provenance in query and update languages. ACM Trans. Database Systems 33, 4 (2008), 1-47.
4. Dash, R.K., Parkes, D.C. and Jennings, N.R. Computational mechanism design: A call to arms. IEEE Intelligent Systems 18, 6 (2003) 40-47.
5. Ebden, M., Huynh, T.D., Moreau, L., Ramchurn, S.D. and Roberts, S.J. Network analysis on provenance graphs from a crowdsourcing application. In Proc. 4th Int. Conf. on Provenance and Annotation of Data and Processes. (Santa Barbara, CA, 2012), 168-182.
6. Fong, T., Nourbaksha, I. and Dautenhahn, K. A survey of socially interactive robots. Robots and Autonomous Systems 42 (2003), 143-166.
7. Gil, Y., Deelman, E., Ellisman, M., Fahringer, T., Fox, G., Gannon, D., Goble, C., Livny, M., Moreau, L. and Myers, J. Examining the challenges of scientific workflows. IEEE Computer 40, 12 (2007), 26-34.
8. Horvitz, E. Principles of mixed-initiative user interfaces. In Proceedings of the SIGCHI conference on Human Factors in Computing Systems (New York, NY, 1999), 159-166.
9. Jennings, N.R. An agent-based approach for building complex software systems. Commun. ACM 44, 4 (Apr. 2001) 35-41.
10. Kahneman, D. Maps of bounded rationality: Psychology for behavioral economics. American Economic Review 93, 5 (2003) 1449-1475.
11. Kamar, E., Gal, Y. and Grosz, B. Modeling information exchange opportunities for effective human-computer teamwork. Artificial Intelligence Journal 195, 1 (2013) 528-555.
12. Kifor, T. et al. Provenance in agent-mediated healthcare systems. IEEE Intelligent Systems 21, 6, (2006) 38-46.
13. Krause, A., Horvitz, E., Kansal, A. and Zhao, F. Toward community sensing. In Proc. Int. Conf. on Information Processing in Sensor Networks (St Louis, MO, 2008), 481-492.
14. Luger, E. and Rodden, T. An informed view on consent for UbiComp. In Proc. Int. Joint Conf. on Pervasive and Ubiquitous Computing (2013), 529-538.
15. Maes, P. Agents that reduce work and information overload. Commun. ACM 37, 7 (1994), 31-40.
16. Manson, N.C. and O'Neill, O. Rethinking informed consent in bioethics. CUP, 2007.
17. Michalak , T., Aaditha, K.V., Szczepanski, P., Ravindran, B. and Jennings, N.R. Efficient computation of the Shapley value for game-theoretic network centrality. J. AI Research 46 (2013), 607-650.
18. Moran, S., Pantidi, N., Bachour, K., Fischer, J.E., Flintham, M. and Rodden, T. Team reactions to voiced agent instructions in a pervasive game. In Proc. Int. Conf. on Intelligent User Interfaces, (Santa Monica, CA, 2013), 371-382.
19. Moreau, L. The foundations for provenance on the Web. Foundations and Trends in Web Science 2, 2-3 (2010) 99-241.
20. Moreau, L. et al. Prov-dm: The prov data model. W3C Recommendation REC-prov-dm-20130430, World Wide Web Consortium, 2013.
21. Naroditskiy, V., Rahwan, I., Cebrian, M. and Jennings, N.R. Verification in referral-based crowdsourcing. PLoS ONE 7, 10 (2012) e45924.
22. Nissenbaum, H. Privacy as contextual integrity. Washington Law Review 79, 1 (2004), 119-158.
23. Palen, L. and Dourish, P. Unpacking privacy for a networked world. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (2003), 129-136.
24. Paxton, M. and Benford, S. Experiences of participatory sensing in the wild. In Proc. 11th Int. Conf. on Ubiquitous Computing, (Orlando, FL, 2009), 265-274.
25. Rahwan, T., Ramchurn, S.D., Jennings, N.R. and Giovannucci, A. An anytime algorithm for optimal coalition structure generation. J. Artificial Intelligence Research 34 (2009), 521-567.
26. Rahwan, I. et al. Global manhunt pushes the limits of social mobilization. IEEE Computer 46, 4 (2013a) 68-75.
27. Rahwan, T., Nguyen, T-D, Michalak, T., Polukarov, M., Croitoru, M., Jennings, N.R. Coalitional games via network flows. In Proc. 23rd Int. Joint Conf. on Artificial Intelligence, (Beijing, China, 2013b), 324-331.
28. Reddy, S., Parker, A., Hyman, J., Burke, J., Estrin, D. and Hansen, M. Image browsing, processing, and clustering for participatory sensing. In Proc. 4th Workshop on Embedded Networked Sensors, (Cork, Ireland, 2007), 13-17.
29. Robu, V., Gerding, E.H., Stein, S., Parkes, D.C., Rogers, A. and Jennings, N.R. An online mechanism for multi-unit demand and its application to plug-in hybrid electric vehicle charging. J. Artificial Intelligence Research (2013).
30. Rogers, A., Farinelli, A., Stranders, R. and Jennings, N.R. Bounded approximate decentralised coordination via the max-sum algorithm. Artificial Intelligence 175, 2 (2011), 730-759.
31. Scekic, O., Truong, H.-L. and Dustdar, S. Incentives and rewarding in social computing. Commun. ACM 56, 6 (2013), 72-82.
32. Simpson, E., Roberts, S.J., Smith, A. and Lintott, C. Bayesian combination of multiple, imperfect classifiers. In Proc. 25th Conf. on Neural Information Processing Systems, (Granada, Spain, 2011).
33. Steeves, V. Reclaiming the social value of privacy. Lessons from the Identity Trail. I. Kerr, V. Steeves and C. Lucock, eds. Oxford University Press, 2009, 193-208.
34. Stone, P., Kaminka, G.A., Kraus, S. and Rosenschein, J.S. Ad hoc autonomous agent teams: Collaboration without pre-coordination. In Proc. 24th Conference on Artificial Intelligence (2010).
35. Tambe, M. et al. Conflicts in teamwork: Hybrids to the rescue" In Proc. 4th Int. Joint Conf. on Autonomous Agents and Multiagent Systems, (Utrecht, The Netherlands, 2005), 3-10.
36. Thaler, R.H. and Cass, R.S. Nudge: Improving Decisions About Health, Wealth, and Happiness. Yale University Press, 2008.
37. Tran-Thanh, L., Venanzi, M., Rogers, A. and Jennings, N.R. Efficient budget allocation with accuracy guarantees for crowdsourcing classification tasks. In Proc. 12th Int. Conf. on Autonomous Agents and Multi- Agent Systems (St. Paul, MN, 2013), 901-908.
38. von Ahn, L. et al. recaptcha: Human-based character recognition via web security measures. Science 321, 5895 (2008), 1465-1468.
39. von Ahn, L. and Dabbish, L. Labeling images with a computer game. In Proc. SIGCHI Conf. on Human Factors in Computing Systems, (Vienna, Austria, 2004), 319-326.
40. Wooldridge, M.J. and Jennings, N.R. Intelligent agents: Theory and practice. Knowledge Engineering Review 10, 2 (1995) 115-152.