Anne Dray, Pascal Perez, Natalie Jones, Christophe Le Page, Patrick D'Aquino, Ian White and Titeem Auatabu (2006)
The AtollGame Experience: from Knowledge Engineering to a Computer-Assisted Role Playing Game
Journal of Artificial Societies and Social Simulation
vol. 9, no. 1
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Received: 30-May-2005 Accepted: 18-Nov-2005 Published: 31-Jan-2006
|Figure 1. Map of the atoll of Tarawa. Bonriki and Buota islands located on the lower right side of the map|
|Figure 2. Sequence of knowledge acquisition|
|Figure 3. Elder man in Abatao commenting photos on economic activities|
|Figure 4. Example of Card Game's flowchart. Including: natural water cycle elements (pink), human activity elements (green), and institutional elements (orange)|
|Figure 5. Qualrus© coding view with narrative (left) and codes (right)|
|Figure 6. Partial view over an Associative network. Codes and links are individually labelled|
|Figure 7. Overall table ranking most quoted elements during the card game|
|Figure 8. UML-based Class Diagram representation of the common ontology|
|Figure 9. UML Class Diagram of the ABM simulator, built with Visual Paradigm©|
The model contains one elementary spatial entity — the AtollCell — that encapsulates some of the characteristics of the groundwater lens (ie. depth, quality) at the unit level. The Lens aggregate, built from the AtollCells, depicts more larger-scale properties such as groundwater loss and recharge. The Island entity (specialised into Tarawa and Reserve), also based on aggregation of elementary cells, provides global characteristics such as rainfall and potential evapotranspiration (PET).
|Figure 10. AtollGame environment with top island featuring Water Reserve and pumping stations, and bottom island featuring a water distribution pipe. Triangles represent the landowners (in purple) and their relatives (in red)|
|Figure 11. Representation of the freshwater lens in AtollGame. Nuclei and izopiezometric areas (left), and corresponding volume (right)|
For a given land plot, the freshwater thickness is given by the attribute depth. The hydrogeological model calculates each individual depth after averaging inputs and outputs over the whole freshwater lens. This attribute is then used to specify the water quality by updating the land plot's attribute "wellWaterQuality" according to a simple rule: if the depth is lower than 1.6m, the water is considered salty, if the depth is higher than 3.1m the water is considered fresh, and in between the water is declared brackish. Hence, the simulator offers a simplified formalism of the biophysical processes involving water resources. However, the water balance model has been built and validated with the help of relevant experts.
|Figure 12. Players interacting with the simulator during a session|
BECU N., BOUSQUET F., BARRETEAU O., PEREZ P. and WALKER A. (2003) "A methodology for eliciting and modelling stakeholders' representations with Agent Based Modelling". Lecture Notes in Artificial Intelligence, 2927, 131-149.
BENFORD R.D., SNOW D.A. (2000) Framing Processes and Social Movements: An Overview and Assessment. Ann.Rev. of Socio., 26, ABI/INFORM Global, pp611-639.
BOUSQUET F., BAKAM I., PROTON H. and LE PAGE C. (1998) « CORMAS : Common-Pool Resources and Multi-Agent Systems". Lecture Notes in Artificial Intelligence 1416: 826-837.
BOUSQUET F., BARRETEAU O., AQUINO (d') P., ETIENNE M., BOISSAU S., AUBERT S., Le PAGE C., BABIN D. and CASTELLA J.-C. (2002) "Multi-agent systems and role games : collective learning processes for ecosystem management". In: M. A. Janssen (ed.) Complexity and Ecosystem Management: The Theory and Practice of Multi-agent Systems. Edward Elgar Publishers. pp. 248-285.
BRADSHAW G.A., BORCHERS J.G. (2000) "Uncertainty as Information: Narrowing the Science-policy Gap. Conservation Ecology 4(1): 7. http://www.ecologyandsociety.org/vol4/iss1/art7/
BRENT E. and SLUSARZ P. (2003). "Feeling the Beat": Intelligent coding advice from metaknowledge in qualitative research. Social Science Computer Review 21 (3), pp. 281-303.
CLANCEY W. (1989). The knowledge level reinterpreted: modelling how systems interact. Machine Learning, 4, 285-291. Netherlands.
D'AQUINO P., LE PAGE C., BOUSQUET F., BAH A. (2003) "Using self-designed Role-Playing Games and Multi-Agent Systems to empower local decision-making process for land use management: The SelfCormas experiment in Senegal. Journal of Artificial Societies and Social Simulation vol. 6, no.3. http://jasss.soc.surrey.ac.uk/6/3/5.html
DESCOLA P. (1996) "Constructing natures: symbolic ecology and social practice". In Descola, P. and Palsson, G. (eds.) Nature and Society: anthropological perspectives. Routledge, London. pp. 82-102.
DRAY A., PEREZ P., LE PAGE C., D'AQUINO P., WHITE I. (2005). Who wants to terminate the Game ? The role of vested interests and meta-players in the AtollGame experience. Simulation and Gaming (accepted).
FALKLAND A.C. (1992) "Review of Tarawa freshwater lenses, Republic of Kiribati". Hydrology and Water Resources Branch, ACT Electricity and Water, Rep 92/682, Canberra, Australia, (unpublished report).
FALKLAND A.C. and BRUNEL J.P. (1993) "Review of hydrology and water resources of the humid tropical islands". In: M. Bonell, Hufschmidt and J. Gladwell (eds.) Hydrology and Water Management in the Humid Tropics. Cambridge Univ. Press-IAHS, Cambridge, England, pp 135-163.
GRUBER T. R. (1993). A translation approach to portable ontology specification. Knowledge acquisition 5(2), p. 199-220.
HARE M., DEADMAN P. (2004) "Further towards a taxonomy of agent-based simulation models in environmental management". Mathematics and Computers in Simulation, 64, pp 25-40.
NEWELL A. (1982) "The Knowledge Level". Artificial Intelligence, 18:87-127.
NOY N.F. and McGUINESS D. (2001). "Ontology Development 101: a Guide to Creating Your First Ontology". Stanford Knowledge Systems Laboratory Technical Report KSL-01-05.
PEREZ P., DRAY A., WHITE I., LE PAGE C. and FALKLAND T. (2003) "AtollScape: Simulating Freshwater Management in Pacific atolls, Spatial processes and time dependence issues". In: Post D. (Ed) Proc. of the International Congress on Modelling and Simulation (Townsville, Australia, 14-17 July 2003). MODSIM 2003, vol 4, 514-518.
REYNOLDS T.J. and GUTMAN J. (1984) "Laddering: Extending the Repertory Grid Methodology to Construct Attribute-Consequence-Value Hierarchies" in Personal Values and Consumer Psychology, Pitts, R.E. and Woodside, A.G. (Eds) Lexington Books, Lexington.
QUILLIAN M. R. (1968). Semantic memory. Semantic Information Processing. M. Minsky. Cambridge, Massachusetts, MIT Press: 216-270.
SHADBOLT N. and MILTON, N. (1999) From Knowledge Engineering to Knowledge Management. British Journal of Management, vol. 10, No 4.
SMITH L. (1993). Necessary Knowledge: Piagetian Perspectives on Constructivism (Essays in Developmental Psychology). Lawrence Elrbaum Associates Ltd, Publishers, Hove, UK, 155 p.
STRAUSS A. and CORBIN J. (1990). Basics of Qualitative Research: Grounded Theory Procedures and Techniques. Newbury Park, CA: Sage.
VOLKER R.E., MARIÑO M.A., and ROLSTON D.E. (1985) Transition zone width in groundwater on ocean atolls. J. Hydrol. Engng., 111, 659-676.
WHITE I., FALKLAND T., PEREZ P., DRAY A., JONES P., METUTERA T. and METAI E. (2002) "An Integrated Approach to Groundwater Management and Conflict Reduction in Low Coral Islands". In: Proc. of the International Symposium on low-lying coastal areas. Hydrology and Integrated Coastal Zone Management (9-12 Sept 2002, Bremerhaven, Germany). UNESCO HIP, pp 249-256.
WHITE I., FALKLAND A., CRENNAN L., JONES P., ETUATI B., METAI E., and METUTERA T. (1999) "Issues, Traditions and Conflicts in Groundwater Use and Management". UNESCO-International Hydrological Programme, Humid Tropics Programme. IHP-V Theme 6. Technical Documents in Hydrology No. 25. UNESCO, Paris.
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