The DOI matches its Crossref record; 24 of the 25 references it cites were found in a registry or an index.
The Evolution of Sharedplans
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“The idea that efective group work requires an accurate mental model of one's teammates-humans or AI-goes back decades [7,16].”
From Assessing the Impact of Automated Suggestions on Decision Making: Domain Experts Mediate Model Errors but Take Less Initiative (2021) · cites this paper as [16]
Citations
Cites
Shoham, Y. (1992) · Artificial Intelligence · doi:10.1016/0004-3702(93)90034-9 · Cited by 2,658
Intention, Plans, and Practical Reason.
Velleman, J. D., & Bratman, M. E. (1991) · The Philosophical Review · doi:10.2307/2185304 · Cited by 2,415
Collaborative Plans for Complex Group Action
Grosz, B., & Kraus, S. (1996) · Artificial Intelligence · doi:10.1016/0004-3702(95)00103-4 · Cited by 1,267
Self-citationProceedings of the International Joint Conference on Artificial Intelligence (IJCAI 2017)
Amendola, G., Ricca, F., & Truszczyński, M. (2017) · International Joint Conference on Artificial Intelligence · Cited by 1,179
Plans and resource‐bounded practical reasoning
Bratman, M. E., Israel, D. J., & Pollack, M. E. (1988) · Computational Intelligence · doi:10.1111/j.1467-8640.1988.tb00284.x · Cited by 1,137
Bratman, M. (1991) · The Philosophical Review · doi:10.2307/2185537 · Cited by 998
Gibbs, R. W., Cohen, P. R., Morgan, J. L., & Pollack, M. E. (1991) · The American Journal of Psychology · doi:10.2307/1422946 · Cited by 967
(1990) · The MIT Press eBooks · doi:10.7551/mitpress/3839.001.0001 · Cited by 901
Controlling cooperative problem solving in industrial multi-agent systems using joint intentions
Jennings, N. R. (1995) · Artificial Intelligence · doi:10.1016/0004-3702(94)00020-2 · Cited by 549
Grosz, B. J., & Sidner, C. L. (1990) · The MIT Press eBooks · doi:10.7551/mitpress/3839.003.0022 · Cited by 516
Self-citation
Research works printed but not linked: 7
- Cecile T. Balkanski. Modelling act-type relations in collaborative activity. Technical Report 23–90, Harvard University, 1990.
- T.L. Dean and M. P. Wellman. Pranning and Control. Morgan Kaufman, Publishers, California, 1991.
- D. Nguyen, S. Hanks, and C. Thomas. The TRUCKWORLD manual. Technical Report TR 93–0908, Dept. of Computer Science and Engineering, Univ. of Washington, 1993.
- Hanna Pasula. Design of a collaborative planning system. Harvard University, Senior Honors Thesis, 1996.
- C. Rich and C. L. Sidner. Adding a collaborative agent to direct-manipulation interfaces. Technical Report 96–11, Mitsubishi Electric Research Laboratories, Cambridge, MA, May 1996.
- S. J. Russell and E. H. Wefald. Principles of meta-reasoning. In Proceedings of the First International Conference of Knowledge Representation and Reasoning, pages 400–411, 1989.
- John R. Searle. Collective intentions and actions. In Intentions in Communication, chapter 19. The MIT Press, 1990.
Cited by
Sorted by citations
A survey of multi-agent organizational paradigms
Horling, B., & Lesser, V. (2004) · The Knowledge Engineering Review · doi:10.1017/s0269888905000317 · Cited by 709
“…based on the joint intentions framework ( Levesque et al ., 1990), which formally defines how agents should reason over joint commitments and shared goals , and SharedPlans theory ( Grosz & Kraus , 1999), which provides a formal way to encode and reason about joint plans , intentions and beliefs .”
BackgroundMethodReaching Agreements Through Argumentation: A Logical Model and Implementation
Kraus, S., Sycara, K., & Evenchik, A. (1998) · Artificial Intelligence · doi:10.1016/s0004-3702(98)00078-2 · Cited by 616
Self-citationBeyond Accuracy: The Role of Mental Models in Human-AI Team Performance
Bansal, G., Nushi, B., Kamar, E., Lasecki, W. S., Weld, D. S., & Horvitz, E. (2019) · Proceedings of the AAAI Conference on Human Computation and Crowdsourcing · doi:10.1609/hcomp.v7i1.5285 · Cited by 466
“Early work explored the importance of mental models for achieving high performance in group work (Grosz and Kraus 1999; Mohammed, Ferzandi, and Hamilton 2010), human-system collaboration (Rouse, Cannon-Bowers, and Salas 1992), and interface design (Carroll and Olson 1988).”
BackgroundHealth dialog systems for patients and consumers
Bickmore, T., & Giorgino, T. (2006) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2005.12.004 · Cited by 242
“As an example of a plan-based computational model of discourse, we briefly review the theory developed by Grosz and Sidner [11], later elaborated by Grosz and Kraus and Lochbaum [40,41], and implemented in the COLLAGEN dialog engine [42].”
MethodProperties and Complexity of Some Formal Inter-agent Dialogues
Parsons, S. (2003) · Journal of Logic and Computation · doi:10.1093/logcom/13.3.347 · Cited by 190
“As a result of this requirement, there has been much work on providing agents with the ability to hold such dialogues — for example by Dignum and colleagues [8, 9], Grosz and Kraus [15], Parsons and Jennings [28, 30], Reed [37], Schroeder et al. [40], and Sycara [42].”
BackgroundInfluential
Metadata
- Authors
- Grosz, B. J., & Kraus, S.
- Affiliations
- Harvard University (US)
- Bar-Ilan University (IL)
- Venue
- Applied Logic Series
- Publisher
- Springer Netherlands
- Published
- 1999
- Pages
- 227-262
- ISSN
- 1386-2790 (ISSN-L)
- OpenAlex
- W1596507639
- Cited by
- 177
- References
- 25
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 1 · 2022: 1 · 2021: 3 · 2020: 1 · 2019: 3 · 2018: 5 · 2017: 4 · 2016: 2 · 2015: 3 · 2014: 8 · 2013: 7 · 2012: 6
- FWCI
- 17.54
- Type
- book chapter
- Language
- en
- Open access
- green
- nrs.harvard.edu
- Licence
- cc-by
- Locations
- Applied logic series (publishedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Multi-Agent Systems and Negotiation
- Physical Sciences › Computer Science › Artificial Intelligence › AI-based Problem Solving and Planning
- Physical Sciences › Computer Science › Artificial Intelligence › Logic, Reasoning, and Knowledge
- Keywords
- agent cooperation, group planning, plan execution, coordination, shared goals, rational agents, multi-agent systems
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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