Multi-scale Intent

  • Anne-Marie GrisogonoEmail author
Conference paper
Part of the Springer Proceedings in Complexity book series (SPCOM)


A multi-scale framework of intents is described for purposeful agents as a tool to explore the dynamics of cooperation, collaboration, conflict and competition between humans, both as individuals and as groups. The framework spans multiple timescales over which intentions persist - from the most transient (the next action to be taken) to the most enduring (deeply held values to be upheld), with several implicit scales in between. It is argued that each agent’s behaviour in a particular situation is shaped by its own intent framework and by certain aspects of its conceptual model of the situation (including itself). This model suggests a systematic approach to identifying the scope for cooperative behaviours between two or more agents, and moreover where and how the domain of cooperation could be enlarged, with applications to improving cooperation and reducing conflict in human groups.


Multiscale intent Cooperation Intentional agents Human conflict 


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    For discussion of the multi-scale hierarchical structure of complex systems see for example Bar-Yam, Y.: Multiscale variety in complex systems. Complexity, 9(4), 37–45, March–April 2004Google Scholar
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    Some well-known models of human decision–making: Anderson, J.R. (1991). The place of cognitive architectures in a rational analysis. In: Van Len, K. (Ed.): Architectures for Intelligence. Hillsdale, NJ: Erlbaum; Klein, G.A., Orasanu, J., Calderwood, R., Zsambok, C.E. (Eds.) (1993). Decision making in action: Models and methods. Westport, CT, US: Ablex Publishing. However they do not address the multi-scale structures that link actions to values and to the decision-maker’s conceptual models at multiple scopes and resolutionsGoogle Scholar
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    For example: Army Doctrine Publication (ADP) 5-0 (FM 5-0), The Operations Process. Department of the Army Washington, DC. Accessed 17 May 2012.
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    Kahnemann, D.: Thinking, Fast and Slow. Penguin, 2011; Arnott, D. Cognitive biases and decision support systems development: a design science approach. Inf. Syst. J., 55–78, 1 Jan 2006Google Scholar

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Flinders UniversityAdelaideAustralia

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