Processes of social learning in integrated resources management

被引:344
作者
Pahl-Wostl, C [1 ]
Hare, M
机构
[1] Univ Osnabruck, Inst Environm Syst Res, D-49069 Osnabruck, Germany
[2] Seecon Deutsch GmbH, Osnabruck, Germany
关键词
integrated water resources management; social learning; group model building; participatory processes;
D O I
10.1002/casp.774
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
In recent years the human dimension and governance issues have gained more and more in importance in the management of natural resources. One important aspect is to understand the processes of social learning that precede any collective decision-making. The HarmoniCOP project developed a framework for social learning for resources management that can be interpreted as combining content management as well as social involvement processes to achieve both technical and relational outcomes. Social learning was taken into account in a new approach called participatory agent based social simulation. Participatory agent based social simulation deviates in a number of ways from conventional modelling. The actors themselves whose behaviour is represented in the model and who are supposed to later use the models for decision-making and strategic planning, participate and contribute to the modelling process. Models serve as tools of communication in processes of social learning. This article reports on a Swiss case study which dealt with the development of new management strategies for urban water management. It will provide examples of how different techniques can be used to establish a process of social learning within a long-term participatory management project using participatory agent-based social simulation. Social learning is highlighted as important for management regimes that require changes in social practices, roles and responsibilities. Copyright (C) 2004 John Wiley Sons, Ltd.
引用
收藏
页码:193 / 206
页数:14
相关论文
共 31 条
[1]  
A Bandura, 1977, Social Learning theory, DOI 10.1177/105960117700200317
[2]  
Barreteau O, 2001, JASSS-J ARTIF SOC S, V4
[3]  
Bousquet F, 2002, COMPLEXITY AND ECOSYSTEM MANAGEMENT, P248
[4]   Multi-party collaboration as social learning for interdependence: Developing relational knowing for sustainable natural resource management [J].
Bouwen, R ;
Taillieu, T .
JOURNAL OF COMMUNITY & APPLIED SOCIAL PSYCHOLOGY, 2004, 14 (03) :137-153
[5]  
Checkland P., 1993, SYSTEM THINKING SYST
[6]  
CRAPS M, 2003, SOCIAL LEARNING RIVE
[7]  
Delbecq AL., 1975, Group Techniques for Program Planning: A Guide to Nominal Group and Delphi Techniques
[8]  
Doyle JK, 1998, SYST DYNAM REV, V14, P3, DOI 10.1002/(SICI)1099-1727(199821)14:1<3::AID-SDR140>3.0.CO
[9]  
2-K
[10]  
FEIGENBAUM EA, 1977, 5 INT JOINT C ART IN