Plan recognition for interface agents : SState of the art

Artificial Intelligence Review

Volumn 28, Issue 2, 2007, Pages 131-162

  Armentano, Marcelo Gabriel ^a   Amandi, Analía ^a,b  

^a UNIVERSIDAD NACIONAL DEL CENTRO DE LA PROVINCIA DE BUENOS AIRES   (Argentina)

^b CONICET ^*  (Argentina)

Author keywords

Interface agents; Plan recognition

Indexed keywords

AGENTS; BEHAVIORAL RESEARCH; COMPUTER APPLICATIONS; SOFTWARE AGENTS;

COMPLEX TASKS; COMPUTER PROGRAMS; COMPUTER-BASED APPLICATIONS; FOCUS OF ATTENTIONS; INTERFACE AGENTS; PLAN RECOGNITION; SOFTWARE APPLICATIONS; STATE-OF-THE ARTS; USER BEHAVIORS;

INTERFACES (COMPUTER);

EID: 62249140950     PISSN: 02692821     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10462-009-9095-8     Document Type: Article

References (53)

1. L Adisorno D Sestero 1996 Using dynamic user models in the recognition of the plans of the user User Model User-Adapt Interact 5 157 190
2. DW Albrecht I Zukerman AE Nicholson 1998 Bayesian models for keyhole plan recognition in an adventure game User Model User-Adapt Interact 8 1-2 5 47
3. Azarewtcz J, Fala G, Heithecker C (1989) Template-based multi-agent plan recognition for tactical situation assessment. In: Fifth IEEE conference on artificial intelligence applications
4. M Bauer 1995 A Demster-Shafer approach to modeling agent preferences for plan recognition User Model User-Adapt Interact 5 317 348
5. Bauer M (1996) Acquisition of user preferences for plan recognition. In: Proceedings of the fifth internataional conference on user modeling (UM '96). Springer, Wien, New York, pp 105-112
6. Breuker J (1990) Conceptual model of intelligent help systems. In: Breuker J (eds) EUROHELP: developing intelligent help systems. EC, Kopenhagen, pp 41-67
7. Brown S (1998) A decision theoretic approach for interface agent development. Ph.D. thesis, Faculty of the Graduate School of Engineering of the Air Force Institute of Technology Air University
8. Bui HH (2003) A general model for online probabilistic plan recognition. In: Gottlob G, Walsh T (eds) IJCIA. Morgan Kaufmann, San Mateo, pp 1309-1318
9. H Bui S Venkatesh G West 2002 Policy recognition in the abstract hidden markov model J Artif Intell Res 17 451 499
10. Buntine W (1991) Theory refinement on Bayesian networks. In: Proceedings of the seventh conference (1991) on uncertainty in artificial intelligence, San Francisco, CA, USA. Morgan Kaufmann, San Mateo, pp 52-60
11. Carberry S (1990) Plan recognition in natural language dialogue. MIT Press, Cambridge
12. S Carberry 2001 Techniques for plan recognition User Model User-Adapt Interact 11 1-2 31 48
13. Charniak E, Goldman R (1989) A semantics for probabilistic quantifier-free first-order languages, with particular application to story understanding. In: IJCAI-89. Morgan-Kaufmann, San Mateo, p 1074
14. Charniak E, Goldman R (1991) A probabilistic model of plan recognition. In: National conference on artificial intelligence (AAAI-91)
15. E Charniak RP Goldman 1993 A Bayesian model of plan recognition Artif Intell 64 1 53 79
16. Z Chen F Lin H Liu Y Liu W-Y Ma L Wenyin 2002 User intention modeling in web applications using data mining World Wide Web 5 3 181 191
17. GF Cooper E Herskovits 1992 A Bayesian method for the induction of probabilistic networks from data Mach Learn 9 4 309 347
18. Davison BD, Hirsh H (1998) Predicting sequences of user actions. In: Predicting the future: AI approaches to time-series problems. AAAI Press, Madison, pp 5-12; Proceedings of AAAI-98/ICML-98 workshop, published as Technical Report WS-98-07
19. Geib C (2004) Assessing the complexity of plan recognition. In: Nineteenth national conference on artificial intelligence (AAAI-04), San Jose, CA, pp 507-512
20. Geib C, Goldman R (2005) Partial observability and probabilistic plan/goal recognition. In: IJCAI-05 workshop on modeling others from observations, Edinburgh, Scotland
21. Goldman R, Geib C, Miller C (1999) A new model of plan recognition. In: Proceedings of the 15th annual conference on uncertainty in artificial intelligence (UAI-99), San Francisco, CA. Morgan Kaufmann, San Mateo, pp 245-254
22. Gorniak P (2000) Keyhole state space recognition with applications to user modeling. Master's thesis, University of British Columbia
23. BJ Grosz S Kraus 1996 Collaborative plans for complex group action Artif Intell 86 2 269 357
24. Grosz BJ, Kraus S (1999) The evolution of sharedplans. In: Rao A, Wooldridge M (eds) Foundations and theories of rational agencies. Kluwer, Dordrecht, pp 227-262
25. Grosz BJ, Sidner C (1990) Plans for discourse. In: Cohen PR, Morgan JL, Pollack ME (eds) Intentions and communications. MIT Press, Cambridge, pp 417-444
26. Horvitz EBJ, Heckerman D, Hovel D, Rommelse K (1998) The Lumiere project: Bayesian user modeling for inferring the goals and needs of software users. In: Proceedings of the fourteenth conference on uncertainty in artificial intelligence, Madison, WI, pp 256-265
27. Huber M, Durfee E (1993) Observational uncertainty in plan recognition among interacting robots. In: International joint conference on AI (IJCAI). Workshop of dynamically interacting robots, pp 68-75
28. Huber M, Simpson R (2004) Recognizing the plans of screen reader users. In: Modeling other agents from observations (MOO 2004). Workshop W3 at the international joint conference on autonomous agents and multi-agent systems, Columbia University, NY, USA
29. Huber MJ, Durfee EH, Wellman MP (1994) The automated mapping of plans for plan recognition. In: de Mantaras RL, Poole D (eds) Proceedings of the 10th conference on uncertainty in artificial intelligence, San Francisco, CA, USA. Morgan Kaufmann, San Mateo, pp 344-351
30. Kautz H (1987) A formal theory of plan recognition. Ph.D. thesis, Department of Computer Science, University of Rochester
31. Kautz H (1991) A formal theory of plan recognition and its implementation. In: Allen JF, Kautz HA, Pelavin R, Tenenberg J (eds) Reasoning about plans. Morgan Kaufmann, San Mateo, pp 69-125
32. Kautz H, Allen J (1986) Generalized plan recognition. In: AAAI, pp 32-37
33. Koehn GM, Greer JE (1995) The peculiarities of plan recognition for intelligent tutoring systems. In: Bauer M (ed) Working notes from the IJCAI workshop 'the next generation of plan recognition systems', pp 54-59
34. Lesh N (1998) Scalable and adaptive goal recognition. Ph.D. thesis, University of Washington
35. Lesh N, Etzioni O (1995) A sound and fast goal recognizer. In: Fourteenth international joint conference on artificial intelligence, San Francisco, CA. Morgan Kaufmann, San Mateo, pp 1704-1710
36. Lesh N, Rich CSC (1999) Using plan recognition in human-computer collaboration. In: Seventh international conference on user modeling, Banff, Canada
37. P Maes 1994 Agents that reduce work and information overload Commun ACM 37 7 30 40
38. Maragoudakis M, Thanopoulos A, Fakotakis N (2003a) User modeling and plan recognition under conditions of uncertainty. In: Matousek V, Mautner P (eds) 6th International conference on text, speech and dialogue (TSD 2003), Ceske Budejovice, Czech Republic. Springer Verlag, New York, pp 372-379
39. Maragoudakis M, Thanopoulos A, Sgarbas K, Fakotakis N (2003b) Domain knowledge acquisition and plan recognition by probabilistic reasoning. In: Seventh international conference on knowledge-based intelligent information & engineering systems (?ES'2003). University of Oxford, UK
40. Pearl J (1988) Probabilistic reasoning in intelligent systems. Morgan Kaufmann, San Mateo
41. Peter Spirtes CG, Scheines R (1993) Causation, prediction, and search. Springer, New York
42. DV Pynadath MP Wellman 1998 Generalized queries on probabilistic context-free grammars IEEE Trans Pattern Anal Mach Intell 20 1 65 77
43. Pynadath DV, Wellman MP (2000) Probabilistic state-dependent grammars for plan recognition. In: Boutilier C, Goldszmidt M (eds) UAI. Morgan Kaufmann, San Mateo, pp 507-514
44. JR Quinlan 1986 Induction of decision trees Mach Learn 1 81 106
45. Rabiner LR (1989) A tutorial on hidden Markov models and selected applications in speech recognition. In: Proceedings of the IEEE, vol 77, no 2. pp 257-286
46. Rich C, Sidner CL (1997) COLLAGEN: when agents collaborate with people. In: Johnson WL, Hayes-Roth B (eds) Proceedings of the first international conference on autonomous agents (Agents'97). ACM Press, New York, pp 284-291
47. C Rich CL Sidner 1998 COLLAGEN: a collaboration manager for software interface agents User Model User-Adapt Interact 8 3-4 315 350
48. C Rich CL Sidner N Leash 2001 COLLAGEN: applying collaborative discourse theory to human-computer interaction Artif Intell Mag 22 4 15 25
49. CF Schmidt NS Sridharan JL Goodson 1978 The plan recognition problem: an intersection of psychology and artificial intelligence Artif Intell 11 45 82
50. Shafer G (1976) A mathematical theory of evidence. Princenton University Press, Princenton
51. C Stanfill C Waltz 1986 Toward memory-based reasoning Commun ACM 29 1213 1228
52. Wærn A (1996) Recognizing human plans: issues for plan recognition in human-computer interaction. Ph.D. thesis, Royal Institute of Technology
53. Yang Y, Pedersen JO (1997) A comparative study on feature selection in text categorization. In: ICML '97: proceedings of the fourteenth international conference on machine learning, San Francisco, CA, USA. Morgan Kaufmann, San Mateo, pp 412-420