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
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Self-citation
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Cited by
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Items 101–176 of 176
A Personalized Time Management Assistant: Research Directions.
Berry, P. M., Gervasio, M. T., Uribe, T. E., Pollack, M. E., & Moffitt, M. D. (2005) · Cited by 6
On-Line Plan Recognition in Exploratory Learning Environments.
Dekel, R., & Gal, K. (2014) · Cited by 5
Collaborative context-based reasoning
González, A. J., & Barrett, G. C. (2007) · The Florida AI Research Society · Cited by 5
Multiparty proactive communication: a perspective for evolving shared mental models
Kamali, K., Fan, X., & Yen, J. (2006) · Cited by 5
Modeling Group Dynamics in Virtual Worlds
Shah, F., Sukthankar, G., & Usher, C. (2010) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v4i1.14036 · Cited by 5
Multi-agent information dependence
Fan, X., Wang, R., Sun, B., Sun, S., & Yen, J. (2006) · International Conference on Integration of Knowledge Intensive Multi-Agent Systems · doi:10.1109/kimas.2005.1427050 · Cited by 5
“For instance, in generating shared plans [6], agents need to exchange incomplete information to identify parameters for team activities.”
BackgroundDunin‐Kȩplicz, B., & Verbrugge, R. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-29326-9_10 · Cited by 6
“Thus far in the MAS literature, when collective attitudes such as collective or joint intentions and collective or joint commitments were characterized, authors provided just one definition geared towards a typical, ideal type of teamwork [26, 33, 31, 34].”
BackgroundA Flexible Framework for SharedPlans
Nguyen, M. H., & Wobcke, W. (2006) · Lecture notes in computer science · doi:10.1007/11941439_43 · Cited by 5
“GREPs and GRIPs are responsible for coordinating group activities based on SharedPlans theory, and are similar to the processes used in Grosz and Kraus [8] (in turn similar to the algorithms of Kinny et al.”
BackgroundMethodInfluentialA decision making procedure for collaborative planning
Rauenbusch, T. W., & Grosz, B. J. (2003) · Adaptive Agents and Multi-Agents Systems · doi:10.1145/860575.860818 · Cited by 5
“The model respects the constraints on mental states speci.ed by the SharedPlans theory of collaboration.”
BackgroundInfluentialSelf-citationMixed-Initiative Issues for a Personalized Time Management Assistant
Berry, P. M., Gervasio, M. T., Uribe, T. E., & Yorke‐Smith, N. (2005) · Cited by 5
Toward summarization of communicative activities in spoken conversation
Niekrasz, J. (2012) · ERA · Cited by 5
Multi-agent Collaboration in Distributed Self-Adaptive Systems
Golpayegani, F. (2015) · IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops (SASOW) · doi:10.1109/sasow.2015.29 · Cited by 4
“However, many MAC theories exclude this step by considering a default collaborating community with pre-defined collaboration goals, plans and policies [3].”
BackgroundMArCo: Using Meta-cognitive Conflicts to Provoke Strategic Changes
Tedesco, P. C. D. A. R., & Self, J. A. (2000) · Lecture notes in computer science · doi:10.1007/3-540-44399-1_20 · Cited by 4
Learning to better coordinate in joint activities
Alterman, R., & Garland, A. (2000) · Cited by 4
Conversational Interfaces: A Domain-Independent Architecture for Task-Oriented Dialogues
Gruenstein, A. (2002) · Cited by 4
Clair, A. S., & Matarić, M. J. (2011) · International Conference on Collaboration Technologies and Systems (CTS) · doi:10.1109/cts.2011.5928682 · Cited by 3
“on top-down deliberative approaches for modeling is aimed at establishing and maintaining alignment, to assure coherent discourse, and constructing shared plans for collaboration [7,8].”
BackgroundHierarchical Distributed Task Assignment for UAV Teams
Casbeer, D. W., & Argyle, M. E. (2011) · AIAA Infotech@Aerospace Conference · doi:10.2514/6.2011-1537 · Cited by 3
Collaborative Human-Machine Interaction in Mobile Phone Support Centers: A Case Study
Dent, K., Plurkowski, L., & Maxwell, J. T. (2017) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-73888-8_87 · Cited by 3
Plan Sharing: Showcasing Coordinated UAV Formation Flight
Hexmoor, H. H., Eluru, S., & Sabaa, H. M. A. (2006) · Informatica · Cited by 3
On Interacting with Collective Knowledge of Group Facilitation
Zamfirescu, C.-B., & Cândea, C. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-40495-5_26 · Cited by 3
Designing for Planned Emergence in Multi-agent Systems
Keogh, K., & Sonenberg, L. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-25420-3_7 · Cited by 3
“The OJAzzIC meta-model provides a conceptual framework that builds on features from OperA+ [14], OMACS [7] and SharedPlans [11], and has been designed for situations when agents cannot rely on pre-scripted plans or predefined roles for coordinated behaviour, but must dynamically coordinate knowledge and plans.”
MethodTsoutsa, P., Fitsilis, P., & Ragos, O. (2018) · Advances in logistics, operations, and management science book series · doi:10.4018/978-1-5225-4936-9.ch001 · Cited by 3
The semantics of potential intentions
Fan, X., & Yen, J. (2005) · Cited by 3
Intentions and potential intentions revisited
Fan, X., & Yen, J. (2012) · Journal of Applied Non-Classical Logics · doi:10.1080/11663081.2012.705961 · Cited by 3
“Indeed, M f 1 g gives us a structure that satis fi es Axiom 1 of the SharedPlans theory (Grosz & Kraus, 1999).”
BackgroundProblem solving with attitude and the theory of reasoned action
Au, S., & Parameswaran, N. (2004) · IEEE/WIC/ACM International Conference on Intelligent Agent Technology · doi:10.1109/iat.2003.1241127 · Cited by 3
“Action selection criteria are based on joint intentions [1] and SharedPlans theory [7].”
BackgroundAgents and Multi-agent Coordination
Rakshit, P., & Konar, A. (2018) · Cognitive intelligence and robotics · doi:10.1007/978-981-10-8642-7_2 · Cited by 3
Stabilizer architecture for humanoid robots collaborating with humans
Pierro, P. (2012) · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · Cited by 3
The semantics of proactive communication acts among team-based agents
Yen, J., & Fan, X. (2003) · IEEE International Conference on Tools with Artificial Intelligence (ICTAI) · doi:10.1109/tai.2002.1180837 · Cited by 3
“As in [7], we use α, β, γ · · · to refer to actions, and assume a set of utility functions can be used to obtain the various properties associated with an action.”
MethodInfluentialBuilding common awareness in agent organizations
Partsakoulakis, I., & Vouros, G. A. (2006) · International Journal of Knowledge-based and Intelligent Engineering Systems · doi:10.3233/kes-2006-10405 · Cited by 3
“There are several generic models for collaborative activity, like the SHARED-PLANS model [10,11], the JOINTINTENTIONS model [2], the JOINT RESPONSIBILITY model [15], the model of cooperative problem solving of Wooldridge and Jennings [34] and the model proposed by Panzarasa, Jennings, and Norman…”
Designing for multi-agent collaboration: a shared mental model perspective
Singh, R. (2018) · Minerva Access (University of Melbourne) · Cited by 3
Measuring information transmission for team decision making
Grosz, B. J., & Rauenbusch, T. W. (2004) · Cited by 3
Self-citationArgumentation-based dialogues over cooperative plans
Gasque, M., & Rolando, A. (2013) · Cited by 3
Reengineering eADVICE for Long Waitlists: A Tale of Two Systems and Conditions
Richards, D., Caldwell, P. H. Y., Abdulrahman, A., Huben, A. V., Waters, K. A., & Scott, K. M. (2024) · Electronics · doi:10.3390/electronics13142785 · Cited by 2
Token-Based Approach for Scalable Team Coordination
Xu, Y., Scerri, P., Lewis, M., & Sycara, K. P. (2008) · Edward Elgar Publishing eBooks · doi:10.4337/9781035305520.00006 · Cited by 2
Teleoperation mechanisms in a multi-agent system
Santos, V., Santana, P., Correia, L. M. P., & Barata, J. (2008) · IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) · doi:10.1109/etfa.2008.4638389 · Cited by 2
“This can be done by using a shared ontology to provide a common language among team members, thus allowing the ability for the entities to understand each other.”
BackgroundExploring Intent-driven Multimodal Interface for Geographical Information System
Sun, F. R. (2015) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/2818346.2823304 · Cited by 2
A Contextual Approach To Learning Collaborative Behavior Via Observation
Johnson, C. L. (2011) · Journal of International Crisis and Risk Communication Research · Cited by 2
Coordination Strategies and Techniques
Bedrouni, A., Mittu, R., Boukhtouta, A., & Berger, J. (2009) · Springer eBooks · doi:10.1007/978-0-387-77702-3_5 · Cited by 2
Logics of Argumentation for Chance Discovery
Parsons, S., & McBurney, P. (2003) · Springer eBooks · doi:10.1007/978-3-662-06230-2_11 · Cited by 2
A Teamwork Infrastructure for Computer Games with Real-Time Requirements
Monteiro, I. M., & Álvares, L. O. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-11198-3_4 · Cited by 2
“Theoretical works in agent teamwork [14] [5] [ 6 ] define some features about team behavior.”
BackgroundProactive Information Exchanges Based on the Awareness of Teammates’ Information Needs
Yen, J., Fan, X., & Volz, R. A. (2003) · Cited by 2
On need-driven proactive information exchanges in agent teams
Yen, J., Fan, X., & Volz, R. A. (2004) · IEEE/WIC/ACM International Conference on Intelligent Agent Technology · doi:10.1109/iat.2003.1241097 · Cited by 2
“We adopt the SharedPlan theory [5, 6] as the cornerstone of our framework.”
MethodA Case for Backward Compatibility for Human-AI TeamsPreprint
Bansal, G., Nushi, B., Kamar, E. S., Weld, D. S., Lasecki, W. S., & Horvitz, E. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1906.01148 · Cited by 10
“Prior fundamental work explored the importance of mental models for achieving high performance in group work (Grosz & Kraus, 1999), human-system collaboration (Rouse et al., 1992), and interface design (Carroll & Olson, 1988).”
BackgroundMulti-Agent Handling of Opportunism: AWOL Meets Discretized `Unreal Tournament'
Berler, A., & Shimony, S. E. (2006) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/icsmc.2006.385240 · Cited by 1
Modeling Human Group Behavior In Virtual Worlds
Shah, F. (2011) · Journal of International Crisis and Risk Communication Research · Cited by 1
COLLABORATIVE MULTI-LEVEL PLAN MONITORING
Allouche, M., & Berger, J. (2011) · DOAJ (DOAJ: Directory of Open Access Journals) · Cited by 1
Making SharedPlans more concise and easier to reason about
Hunsberger, L. (2002) · International Conference on Multi Agent Systems · doi:10.1109/icmas.1998.699249 · Cited by 1
“Basic Actions B:Int:To --- --- B:CBA V2 Complex Actions ( 1 agents) SP FSP PSP CBAG 6 The properties of intentions-that are discussed in detail by Grosz & Kraus [6].”
BackgroundInfluentialEntropy based blending of policies for multi-agent coexistence
Rother, D., Herbert, F., Kalter, F., Koert, D., Pajarinen, J., Peters, J., & Weisswange, T. H. (2025) · Autonomous Agents and Multi-Agent Systems · doi:10.1007/s10458-025-09707-7 · Cited by 1
“AHT agents always share some part of the reward function or goal, even in mixed-motive situations, where agents still share a collaborative goal [16, 17].”
Behaviour Flexibility in Dynamic and Unpredictable Environments: The ICagent Approach
Mavromichalis, V. K., & Vouros, G. A. (2006) · Lecture notes in computer science · doi:10.1007/11752912_19 · Cited by 1
Mahmoudi, H., Camboim, S. P., & Brovelli, M. A. (2023) · Abstracts of the ICA · doi:10.5194/ica-abs-6-150-2023 · Cited by 1
The Equilibrium of Agent Mind: The Balance Between Agent Theories and Practice
Ichalkaranje, N., Sioutis, C., Tweedale, J., Urlings, P., & Jain, L. C. (2006) · Lecture notes in computer science · doi:10.1007/11893004_58 · Cited by 1
“These are Shared Plans [ 23 ], Joint Intentions [24] (in BDI), and economic theoretic based COM MTDP (Communicative Multiagent Team Decision Problems) [25].”
BackgroundAugmenting and Executing SharedPlans for Multimodal Communication
Stock, O., Strapparava, C., & Zancanaro, M. (2001) · Lecture notes in computer science · doi:10.1007/3-540-45520-5_6 · Cited by 1
Modelling the collaborative mission planning process using dynamic teamwork structures
Soon, S., Pearce, A. R., & Noble, M. (2003) · Adaptive Agents and Multi-Agents Systems · doi:10.1145/860575.860827 · Cited by 1
“The JACK Teams teamwork model differs from existing distributed coordination teamwork frameworks [3, 4] by exhibiting centralised command.”
ON MODELING AND SIMULATING AGENT TEAMWORK IN CAST
Yen, J., Fan, X., Sun, S., Wang, R., Chen, C., Kamali, K., Miller, M., & Volz, R. A. (2003) · Active Media Technology · doi:10.1142/9789812704313_0002 · Cited by 1
“As in [7], we use α, β, γ · · · to refer to actions, and assume a set of functions can be used to obtain the various properties associated with an action.”
BackgroundMethodThe mediation algorithm for real time negotiation
Rauenbusch, T. W. (2002) · Adaptive Agents and Multi-Agents Systems · doi:10.1145/545056.545085 · Cited by 1
“Allocation Improvement applies Mediation to the task allocation problem.”
BackgroundThe 2003 MetroBots Four-legged League Team
Frías-Martínez, V., Marcinkiewicz, M., Parsons, S., & Sklar, E. I. (2008) · Cited by 1
Implementing efficient joint beliefs on multi-robot teams
Horswill, I. D., & Khoo, A. (2003) · Cited by 1
Benutzermodellierung für benutzerspezifische Plangenerierung und -präsentation
Küpper, D. (2002) · DuEPublico (University of Duisburg-Essen) · Cited by 1
Distributed Interactive Narrative Planning System.
Winegarden, J., & Young, R. M. (2006) · Cited by 1
Getting Computer Systems to Function as Team Players (Abstract)
Grosz, B. J. (2000) · Lecture notes in computer science · doi:10.1007/3-540-44399-1_2
Self-citationWang, H. (2010) · Springer eBooks · doi:10.1007/978-90-481-9112-3_8
“According to the plan evolution process described in the SharedPlan theory [ 12 , 13], a plan towards the goal/action � in collaboration usually evolves from partial to complete through several major steps.”
BackgroundMethodInfluentialA Logical Splitting Strategy for the Belief Structure of Agents
Fan, X., & Yen, J. (2003) · Journal of Applied Non-Classical Logics · doi:10.3166/jancl.13.199-221
A Review on SharedPlan Model for Collaborative Knowledge Building
Maulidevi, N. U., & Ahmad, A. S. (2006) · International Symposium on Communications and Information Technologies · doi:10.1109/iscit.2006.339837
“formal definition of shared plan is shown in Figure 1 [ ] [2] [3].”
BackgroundMethodInfluentialModels of multi-agent decision making
Zappala, J. (2014) · Nottingham ePrints (University of Nottingham)
Proactive Communicating Process with Asymmetry in Multiagent Systems
Wang, J., Feng, Z., & Xu, C. (2013) · Journal of Applied Mathematics · doi:10.1155/2013/838694
A Control-Theoretic and Game-Theoretic Approach to Information Asymmetry in MAS
Wang, J., Feng, Z., Xu, C., Wang, H., & Yang, Q. (2008) · IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) · doi:10.1109/wiiat.2008.57
“Proactivity is taken to be one of the key characteristics in software agent[7, 11], In the field of MAS, there are already some researches on proactive behaviors of agent, such as helping behavior with joint intention and the work of Xiaocong Fan etc.[1, 2, 6, 8, 11].”
BackgroundMethodWhat's needed to build team players? (Extended abstract for an invited talk)
Grosz, B. J. (2005) · International Conference on Multi Agent Systems · doi:10.1109/icmas.2000.858424
“In this talk, I will briefly review the major features of one model of collaborative planning, SharedPlans [8, 9].”
BackgroundSelf-citationBut What Do They Mean? Modelling Contrast Between Speakers in Dialogue Signalled by "But"
Thomas, K. E. (2005) · ERA
Human-robot teamwork: a knowledge-based solution
Salgueiro, M. (2009) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
Collective attitudes for teamwork in dynamic environments
Dunin‐Kȩplicz, B., & Verbrugge, R. (2006) · University of Groningen research database (University of Groningen / Centre for Information Technology)
Personalization and Incentive Design in E-Learning Systems.
Segal, A. (2014)
Dunin‐Kȩplicz, B., & Verbrugge, R. (2010) · doi:10.1002/9780470665237.biblio
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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