Multi-agent Activity Modeling with the Brahms Environment
There is increasing interest in developing “day in the life” models and simulations of people’s behavior, the interaction between groups of people and systems, as well as movement and interaction within the environment. Cognitive modeling tools (e.g. SOAR, ACT-R) focus on detailed modeling of individual cognitive tasks at the sub-second level. In contrast, Brahms enables multi-agent activity modeling, focusing on higher-abstraction behaviors at the second and longer timeframe. Activity modeling enables modeling the behaviors of individuals and groups (located and situated), how and where communication and synchronization happens, and how people and machines work together to accomplish goals. This tutorial will provide an overview of the Brahms multi- agent activity modeling language by considering a simple day in the life scenario, including hands-on experience with Brahms.
- 3.Sierhuis, M.: Modeling and Simulating Work Practice; Brahms: A multiagent modeling and simulation language for work system analysis and design. Ph.D. thesis, University of Amsterdam, SIKS Dissertation Series No. 2001-10, Amsterdam, The Netherlands (2001)Google Scholar
- 6.Sierhuis, M., Clancey, W.J., van Hoof, R.J.J.: Brahms: An Agent-Oriented Language for Work Practice Simulation and Multi-Agent Systems Development. In: Bordini, R.H., Dastani, M., Dix, J., El Fallah-Seghrouchni, A. (eds.) Multi-Agent Programming, 2nd edn. Springer (2009)Google Scholar
- 7.Sierhuis, M., Clancey, W.J., Seah, C.: Organization and Work System Design and Engineering. In: Yilmaz, L., Oren, T. (eds.) Agent Directed Simulation. Wiley (2009)Google Scholar
- 8.Sierhuis, M., Jonker, C., van Riemsdijk, B., Hindriks, K., ELFallah-segfouchni, A.: Towards Organization Aware Agent-based Simulation. International Journal of Intelligent Control and Systems 14(1), 62–76 (2009)Google Scholar