research-article

Analyzing multi-agent approaches for the design of advanced interactive and collaborative systems

Authors: Fabien Badeig, Emmanuel Adam, René Mandiau, Catherine GarbayAuthors Info & Claims

Journal of Ambient Intelligence and Smart Environments, Volume 8, Issue 3

Pages 325 - 346

https://doi.org/10.3233/AIS-160380

Published: 01 January 2016 Publication History

Abstract

The purpose of this paper is to determine a set of requirements and proposals for the design of a collaborative interactive system working under distributed tangible environments. A wide range of human-machine, human-human and human-environment interactions is to be considered, and using multi-agent architectures was recommended since they have already shown their benefits in developing large and complex systems under a unified framework. We further argue that such a design would require an in-depth analysis of four main properties (autonomy, proactiveness, context-awareness, situatedness). In this context, the potential interest and complementarity of two main design approaches (holonic and normative) are discussed. To support this discussion, two applications are also described – a Road Traffic simulation and a version of the game of Risk. Both of these applications introduce complementary man-machine-environment interaction issues.

References

[1]

M. Abdoos, N. Mozayani and A.L. Bazzan, Holonic multi-agent system for traffic signals control, Engineering Applications of Artificial Intelligence 26(5–6) (2013), 1575–1587.

Digital Library

[2]

E. Adam and R. Mandiau, Flexible roles in a holonic multi-agent system, in: Holonic and Multi-Agent Systems for Manufacturing, Vol. 4659, Springer, Berlin/Heidelberg, 2007, pp. 59–70.

[3]

E. Adam, G. Zambrano, C. Pach, T. Berger and D. Trentesaux, Myopic behaviour in holonic multiagent systems for distributed control of fms, in: Trends in Practical Applications of Agents and Multiagent Systems, J. Corchado, J. Pérez, K. Hallenborg, P. Golinska and R. Corchuelo, eds, Advances in Intelligent and Soft Computing, Vol. 90, Springer, Berlin/Heidelberg, 2011, pp. 91–98.

[4]

J. Barbosa, P. Leitão, E. Adam and D. Trentesaux, Nervousness in dynamic self-organized holonic multi-agent systems, in: Highlights on Practical Applications of Agents and Multi-Agent Systems, J.B. Pérez, M.A. Sánchez, P. Mathieu, J.M.C. Rodríguez, E. Adam, A. Ortega, M.N. Moreno, E. Navarro, B. Hirsch, H. Lopes-Cardoso and V. Julián, eds, Advances in Intelligent and Soft Computing, Vol. 156, Springer, Berlin/Heidelberg, 2012, pp. 9–17.

[5]

C. Bauer, A framework for conceptualizing context for intelligent systems (CCFIS), Journal of Ambient Intelligence and Smart Environments (JAISE) 6(4) (2014), 403–417.

[6]

A.L. Bazzan, A distributed approach for coordination of traffic signal agents, Autonomous Agents and Multi-Agent Systems 10 (2005), 131–164.

Digital Library

[7]

F. Bellifemine, A. Poggi and G. Rimassa, Developing multi-agent systems with a FIPA-compliant agent framework, Software: Practice and Experience 31(2) (2001), 103–128.

Digital Library

[8]

G. Boella, L.V.N. van der Torre and H. Verhagen (eds), Normative Multi-Agent Systems, Dagstuhl Seminar Proceedings, Vol. 07122, Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany, 2007.

[9]

O. Boissier, F. Balbo and F. Badeig, Controlling multi-party interaction within normative multi-agent organisations, in: Coordination, Organization, Institutions and Norms in Agent Systems VI, LNAI, Vol. 6541, Springer-Verlag, 2011.

[10]

F. Both, M. Hoogendoorn, A. Mee, J. Treur and M. Vos, An intelligent agent model with awareness of workflow progress, Applied Intelligence 36(2) (2012), 498–510.

Digital Library

[11]

V. Botti and A. Giret, ANEMONA: A Multi-Agent Methodology for Holonic Manufacturing Systems, Springer Publishing Company, Incorporated, 2008.

[12]

F.M.T. Brazier and G. van der Veer, Interactive distributed and networked autonomous systems: Delegation or participation, in: Proc. of the Human Interaction with Intelligent & Networked Systems Workshop (HINNS 2009), ACM Press, 2009.

[13]

M.H. Burstein and D.E. Diller, A framework for dynamic information flow in mixed-initiative human/agent organizations, Applied Intelligence 20(3) (2004), 283–298.

Digital Library

[14]

G. Calvary, J. Coutaz, D. Thevenin, Q. Limbourg, L. Bouillon and J. Vanderdonckt, A unifying reference framework for multi-target user interfaces, Interacting with Computers 15(3) (2003), 289–308.

[15]

G.R. de Carvalho, R.B. de Paes, R. Choren, P.S.C. Alencar and C.J.P. de Lucena, Increasing software infrastructure dependability through a law enforcement approach, in: Proc. of Symposium on Normative Multi-Agent Systems, NORMAS 2005, Part of the SSAISB 2005 Convention, 12–15 April 2005, University of Hertfordshire, Hatfield, UK, 2005, pp. 65–72.

[16]

V. Dignum, J.J. Meyer and H. Weigand, Towards an organizational model for agent societies using contracts, in: Proc. of the First International Joint Conference on Autonomous Agents and Multiagent Systems: Part 2, AAMAS ’02, ACM, 2002, pp. 694–695.

[17]

K. Dressner and P. Stone, Multi-agent traffic management: A reservation based intersection control mechanism, in: 3rd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), 19–23 August 2004, New York, NY, USA, IEEE Computer Society, July 2004, pp. 530–537.

[18]

Y. Engestrom, Developmental work research: Reconstructing expertise through expansive learning, in: Human Jobs and Computer Interfaces, 1991, pp. 265–290.

[19]

T. Erickson and W.A. Kellogg, Social translucence: Using minimalist visualizations of social activity to support collective interaction, in: Designing Information Spaces: The Social Navigation Approach, K. Höök, D. Benyon and A. Munroe, eds, Springer-Verlag, 2003, pp. 17–41.

[20]

J. Filipe, An organizational semiotics model for multi-agent systems design (short paper), in: Proc. of 12th International Conference on Knowledge Acquisition, Modeling and Management, EKAW 2000, Juan-les-Pins, France, October 2–6, 2000, R. Dieng and O. Corby, eds, Lecture Notes in Computer Science, Vol. 1937, Springer, 2000, pp. 449–456.

[21]

C. Garbay, F. Badeig and J. Caelen, Normative multi-agent approach to support collaborative work in distributed tangible environments, in: CSCW ’12 Computer Supported Cooperative Work, Seattle, WA, USA, February 11–15, 2012, Companion Volume, S.E. Poltrock, C. Simone, J. Grudin, G. Mark and J. Riedl, eds, ACM, 2012, pp. 83–86.

[22]

N. Hanna and D. Richards, The impact of communication on a human-agent shared mental model and team performance, in: International Conference on Autonomous Agents and Multi-Agent Systems, AAMAS ’14, Paris, France, May 5–9, 2014, A.L.C. Bazzan, M.N. Huhns, A. Lomuscio and P. Scerri, eds, IFAAMAS/ACM, 2014, pp. 1485–1486.

[23]

F. Hattori, T. Ohguro, M. Yokoo, S. Matsubara and S.Y. Socialware, Multiagent systems for supporting network communities, Communications of the ACM 42(3) (1999), 55–61.

Digital Library

[24]

C.D. Hollander and A.S. Wu, The current state of normative agent-based systems, Journal of Artificial Societies and Social Simulation 14(2) (2011), 6.

[25]

A. Koestler, The Ghost in the Machine, Arkana Books, 1969.

[26]

C. Kolski, P. Forbrig, B. David, P. Girard, C.D. Tran and H. Ezzedine, Agent-based architecture for interactive system design: Current approaches, perspectives and evaluation, in: Proc. of the 13th International Conference on Human-Computer Interaction, Part I: New Trends, Springer-Verlag, 2009, pp. 624–633.

[27]

C. Kolski, C. Garbay, Y. Lebrun, F. Badeig, S. Lepreux, R. Mandiau and E. Adam, Interactive surfaces, tangible interaction: Perspectives for risk management, in: Risk Management in Life Critical Systems, P. Millot, ed., ISTE-Wiley, 2014, pp. 351–373, Chapter 17.

[28]

R.E. Kraut, R. Fussell and J. Siegel, Visual information as a conversational resource in collaborative physical tasks, Human-Computer Interaction 18(1–2) (2003), 13–49.

Digital Library

[29]

S. Kubicki, Y. Lebrun, S. Lepreux, E. Adam, C. Kolski and R. Mandiau, Simulation in contexts involving an interactive table and tangible objects, Simulation Modelling Practice and Theory 31 (2013), 116–131.

[30]

B. Lacroix, Ph. Mathieu and A. Kemeny, Formalizing the construction of populations in multi-agent simulations, Engineering Applications of Artificial Intelligence 26(1) (2013), 211–226.

Digital Library

[31]

Y. Laurillau and L. Nigay, Clover architecture for groupware, in: Proc. on the ACM 2002 Conference on Computer Supported Cooperative Work, CSCW 2002, New Orleans, Louisiana, USA, November 16–20 2002, E.F. Churchill, J.F. McCarthy, C. Neuwirth and T. Rodden, eds, ACM Press, pp. 236–245.

[32]

Y. Lebrun, E. Adam, S. Kubicki and R. Mandiau, A multi-agent system approach for interactive table using rfid, in: PAAMS, Y. Demazeau, F. Dignum, J.M. Corchado and J. Bajo, eds, Advances in Soft Computing, Vol. 70, Springer, 2010, pp. 125–134.

[33]

Y. Lebrun, S. Lepreux, C. Kolski and R. Mandiau, Combination between multi-agent system and tangigets for DUI design on several tabletops, in: Distributed User Interfaces: Models, Methods and Tools, DUI 2013, In Conjunction with ACM EICS 2013 Conference, London, UK, June 24th 2013 M.D. Lozano, A.S. Mashat, H.M. Fardoun, J.A. Gallud, V.M.R. Penichet, R. Tesoriero and J. Vanderdonckt, eds, pp. 54–57.

[34]

P. Leitao, Agent-based distributed manufacturing control: A state-of-the-art survey, Engineering Applications of Artificial Intelligence 22(7) (2009), 979–991.

Digital Library

[35]

P. Leitao and F.R. Adacor, A holonic architecture for agile and adaptive manufacturing control, Computers in Industry 57(2) (2006), 121–130.

Digital Library

[36]

S. Lepreux, S. Kubicki, C. Kolski and J. Caelen, Distributed interactive surfaces: A step towards the distribution of tangible and virtual objects, in: Distributed User Interfaces – Designing Interfaces for the Distributed Ecosystem, J.A. Gallud, R. Tesoriero and V.M.R. Penichet, eds, Human-Computer Interaction Series, Springer, 2011, pp. 133–143.

[37]

S. Lepreux, S. Kubicki, C. Kolski and J. Caelen, Distributed interactive surfaces using tangible and virtual objects, in: Workshop DUI’2011 Distributed User Interfaces, at CHI’2011, 2011, pp. 65–68.

[38]

C. Lueg, Pitfalls and perspectives in context-awareness, in: Proc. of the Symposium on Computer Human Interaction, CHINZ’01, E. Kemp, C.P. Kinshuk and J. Yanes, eds, ACM, 2001, pp. 37–41.

[39]

R. Mandiau, A. Champion, J.-M. Auberlet, S. Espié and C. Kolski, Behaviour based on decision matrices for a coordination between agents in a urban traffic simulation, Applied Intelligence 28(2) (2008), 121–138.

Digital Library

[40]

F. Michel, J. Ferber and A. Drogoul, Multi-agent systems and simulation: A survey from the agents community’s perspective, in: Multi-Agent Systems: Simulation and Applications, D. Weyns and A. Uhrmacher, eds, Computational Analysis, Synthesis, and Design of Dynamic Systems, CRC Press – Taylor & Francis, 2009, p. 47.

[41]

P. Millot and R. Mandiau, Man-machine cooperative organizations: Formal and pragmatic implementation methods, in: Expertise and Technology, J.-M. Hoc, P.C. Cacciabue and E. Hollnagel, eds, L. Erlbaum Associates Inc., 1995, pp. 213–228.

[42]

K.L. Mills, Computer-supported cooperative work (cscw), in: Encyclopedia of Library and Information Sciences, Marcel Dekker, 2003, pp. 666–677.

[43]

M.J. O’Grady, G.M.P. O’Hare and S. Poslad, Smart environment interaction: A user assessment of embedded agents, Journal of Ambient Intelligence and Smart Environments (JAISE) 5(3) (2013), 331–346.

Digital Library

[44]

A. Padovitz, S.W. Loke, A.B. Zaslavsky, B. Burg and C. Bartolini, An approach to data fusion for context awareness, in: Proc. of 5th International and Interdisciplinary Conference on Modeling and Using Context, CONTEXT 2005, Paris, France, July 5–8, 2005, A.K. Dey, B.N. Koki, D.B. Leake and R.M. Turner, eds, Lecture Notes in Computer Science, Vol. 3554, Springer, 2005, pp. 353–367.

[45]

J.A. Pape and T.C.N. Graham, Coordination policies for tabletop gaming, in: Proc. of the Graphics Interface 2010 Conference, (Poster), May 31–June 02, 2010, Ottawa, Ontario, Canada, D. Mould and S. Noël, eds, ACM/Canadian Human-Computer Communications Society, 2010, pp. 24–25.

[46]

S.K. Parker, H. Williams and N. Turner, Modeling the antecedents of proactive behavior at work, Journal of Applied Psychology 91 (2006), 636–652.

[47]

J. Pitt, Norms for dependable systems, in: Pervasive Adaptation: The Next Generation Pervasive Computing Research Agenda, A. Ferscha, ed., Inst. for Pervasive Computing, Johannes Kepler Univ., 2011, pp. 58–59, Chapter 5.

[48]

W. Prinz, S. Kolvenbach and K. Klöckner, Situative cooperation support for communities, SIGGROUP Bulletin 23(3) (2002), 24–28.

Digital Library

[49]

S. Rodriguez, V. Hilaire and A. Koukam, Towards a holonic multiple aspect analysis and modeling approach for complex systems: Application to the simulation of industrial plants, Simulation Modelling Practice and Theory 15 (2007), 521–543.

[50]

Y. Rogers, Moving on from Weiser’s vision of calm computing: Engaging ubicomp experiences, in: UbiComp 2006: Ubiquitous Computing, 8th International Conference, UbiComp 2006, Orange County, CA, USA, September 17–21, 2006, P. Dourish and A. Friday, eds, Lecture Notes in Computer Science, Vol. 4206, Springer, 2006, pp. 404–421.

[51]

W. Rong and K. Liu, A multi-agent architecture for cscw systems: From organizational semiotics perspective, in: Proc. of Agent Computing and Multi-Agent Systems, 9th Pacific Rim International Workshop on Multi-Agents, PRIMA 2006, Guilin, China, August 7–8, 2006, Z.-Z. Shi and R. Sadananda, eds, Lecture Notes in Computer Science, Vol. 4088, Springer, 2006, pp. 766–772.

[52]

M. Rovatsos, Multiagent systems for social computation, in: International Conference on Autonomous Agents and Multi-Agent Systems, AAMAS ’14, Paris, France, May 5–9, 2014, A.L.C. Bazzan, M.N. Huhns, A. Lomuscio and P. Scerri, eds, IFAAMAS/ACM, 2014, pp. 1165–1168.

[53]

K. Schmidt, Distributed collective practices: A cscw perspective, invited talk, in: Conference on Distributed Collective Practices, Paris, 19–22 Sept. 2000, pp. 19–22.

[54]

S. Sen and G. Weiss, Learning in multiagent systems, in: Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence, G. Weiss, ed., MIT Press, 2000.

[55]

D. Thevenin and J. Coutaz, Plasticity of user interfaces: Framework and research agenda, in: Human-Computer Interaction INTERACT ’99: IFIP TC13 International Conference on Human-Computer Interaction, Edinburgh, UK, 30th August–3rd September 1999, A. Sasse and C. Johnson, eds, IOS Press, 1999, pp. 110–117.

[56]

M. Tlig, O. Buffet and O. Simonin, Stop-free strategies for traffic networks: Decentralized on-line optimization, in: ECAI 2014 – 21st European Conference on Artificial Intelligence, Including Prestigious Applications of Intelligent Systems (PAIS 2014), 18–22 August 2014, Prague, Czech Republic, T. Schaub, G. Friedrich and B. O’Sullivan, eds, Frontiers in Artificial Intelligence and Applications, Vol. 263, IOS Press, 2014, pp. 1191–1196.

[57]

H. Van Brussel, J. Wyns, P. Valckenaers, L. Bongaerts and P. Peeters, Reference architecture for holonic manufacturing systems: Prosa, Computer Industry 37(3) (1998), 255–274.

Digital Library

[58]

J. Van Dijk and G.W. Vos, Traces in creative spaces, in: Proc. of the 8th ACM Conference on Creativity and Cognition, C&C ’11, ACM, 2011, pp. 91–94.

[59]

M. Wolf, An intelligent artificial player for the game of risk, PhD thesis, Knowledge Engineering Group, Darmstadt University of Technology, 2005.

[60]

Y. Xu, Y. Ohmoto, S. Okada, K. Ueda, T. Komatsu, T. Okadome, K. Kamei, Y. Sumi and T. Nishida, Formation conditions of mutual adaptation in human-agent collaborative interaction, Applied Intelligence 36(1) (2012), 208–228.

Digital Library

Cited By

Luo PZhang JWan JZhao NRen ZZhou LShen J(2021)A mobile services recommendation system fuses implicit and explicit user trust relationshipsJournal of Ambient Intelligence and Smart Environments10.3233/AIS-20058513:1(21-35)Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.3233/AIS-200585

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Analyzing multi-agent approaches for the design of advanced interactive and collaborative systems

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cover image Journal of Ambient Intelligence and Smart Environments

Journal of Ambient Intelligence and Smart Environments Volume 8, Issue 3

2016

131 pages

ISSN:1876-1364

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Published: 01 January 2016

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Luo PZhang JWan JZhao NRen ZZhou LShen J(2021)A mobile services recommendation system fuses implicit and explicit user trust relationshipsJournal of Ambient Intelligence and Smart Environments10.3233/AIS-20058513:1(21-35)Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.3233/AIS-200585

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