Pattie Maes
- 1 Chin, !.)o lJ~tetliget:lt interIhces a.s agents. In J. Sullivan and S. Tyler, eds,, Intelligent User lnte(~hces, ACM Press, N.Y,, 1991,]] Google Scholar
Digital Library
- 2 (;rowston, K. and Malone, 'i, intelligent sotiware agents. B YT"E, 1.3, 13 (I)ec. 1988), 267 27!,]] Google ScholarDigital Library
- 3 Cypher, A, EAt.;ER: Programming repetitive tasks by example. In Proceding:.~ 4" Ctt1'9I. ACM Press, N.Y.. 19911, pp. 33-39.]] Google Scholar
- 4 Dent, L. goticaI'io, J. Mc Dermot~, J, Mitchell, ;i', and Zabowski, D. A pelsonal learning apprentice, In Proceed.- in gs of the National conJere.nce on Artificial Intelligence. M IT Press, (2ambridge, Mass., I992.]] Google ScholarDigital Library
- 5 Don, A. Anthropomorphism: From Eliza to Terminator 2, panel description, In Proceedings of CIii'92, ACM Press, N~Y., 1992, pp. 67-70,]] Google Scholar
- 6 Dorner, S, Eudora Reterence Manual. Quaicomm lnc., 1992.]]Google Scholar
- 7 Feynman, C. Nearest neighbor a~d maximnm likelihood methods fbr social i.~dbrmalion fihering, Internal rep(nt, Mt"I~, Dec. 1993.]]Google Scholar
- 8 Kay, A. Computer soft.ware. In Sc~ Amer. 251, 3 (Mar, 1984), 191.-207.]]Google ScholarCross Ref
- 9 Kay, A. User !nterl:hce: A personal]]Google Scholar
- 10 Kozierok, R. and Maes, P. A learning interface agent for scheduling meet~ ings. I n P:roceedin.~s of AC'M SIGCHI International ~4,'kshop on intelligent User l nte.~Jace~.. ACM Press. N.Y., 1993, pp, 81-88.]] Google ScholarDigital Library
- 11 Kozierok, R. A learning approach to knowledge acquisition tbr intelligent interthce agents, SM Thesis, Departlnent of Electrical Eng. and Computer Science, MIT, May I993.]]Google Scholar
- 12 Lai, K. Malone, T. and Yu, K. Object Lens: A "spreadsheet" for cooperative work. ACM Trans. Office Inf. S~,.~t. 6, 4 (Apt. I988), 332-353,]] Google ScholarDigital Library
- 13 Lashkari, Y., MetraI, M. and Maes, P. (;ollaborative interfhce agents. In Proceedings c~" the Natic_mal Conference on A rtgicia! Intelligence. MI.T Press, Cambridge, Mass,, 1.994.]] Google ScholarDigital Library
- 14 Laurel, B. Inter|ace agents: Met.aphors with character. In B. Laurel, ed,. Tke Art of Huma~n-Co,mputer Interjace De.sig~. Addison-Wesley, Reading, Mass., !990.]]Google Scholar
- 15 Lieberman, H. Mondrian" A teachable graphical editor, tn A. Cypher, ed., |,}h.tch what I do." t rouamming by D emonstratio.n, hilt Press, Gambridge, Mass,, 1993,]] Google ScholarDigital Library
- 16 Maes, P. and Kozierok, R. Learning interface agents, In Proceedings of the AAAI'93 Conj>rence. MIT Press, Cambridge, Mass., pp,. 459-465.]] Google ScholarDigital Library
- 17 Myers, B. Creating Li~er ln.terJaces b3 Demonstration. Academic Press, Boston, Mass., 1988,]] Google ScholarDigital Library
- 18 Myers, B., ed. Demonstrational interfaces: Coming soon? In Proceedings. o~ C HI'9t. ACM Press, N.Y., 199i, pp~ 393-396.]] Google ScholarDigital Library
- 19 Negroponte, N. The Architecture Ma.~. chine; Towards a more Human Environmerit. M IT Press, Cambridge, Mass., I970.]]Google Scholar
- 20 Sahon, (;. and McGill, M. lntrodu.ction to Mode~v, lnfolwza:tion Retrieval McGraw-Hill, N.Y., 1983.]]Google Scholar
- 21 Schneidermain, B, Direct manipulation: A step beyond programming languages, lb.dEE Comput. 16, 8 (Aug~ 1988), 57-69.]]Google ScholarDigital Library
- 22 Sheth, B. and Maes, P. Evolving agents for personalized infbrmatiol-J filteriIlg. In Proceedings qf the :Vinta Cm~erence on Art!ficial Intelligence jbr Applications. IEEE Computer Society Press, 1993.]]Google Scholar
- 23 Sheth, B. A learning approach to personalized intormation filtering. SM Thesis. Department of Electrical Eng. and Computer Science. MIT', Feb. 1994.]]Google Scholar
- 24 Stantill, C. artd Wa.hz, D. Toward memory-based reasoning. Comm. ACM 29, 12, (Dec, 1986), 121.3-1228..]] Google ScholarDigital Library
- 25 Sullivan, j.w. and Tyler, S.W., eds, tnletlgent L,~er lnte~Jaces. ACM Press, N.Y.. 199i.]]Google Scholar
Index Terms
- Agents that reduce work and information overload
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