Multi-agent Activity Modeling with the Brahms Environment
- Cite this paper as:
- Sierhuis M. (2013) Multi-agent Activity Modeling with the Brahms Environment. In: Morgenstern L., Stefaneas P., Lévy F., Wyner A., Paschke A. (eds) Theory, Practice, and Applications of Rules on the Web. RuleML 2013. Lecture Notes in Computer Science, vol 8035. Springer, Berlin, Heidelberg
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.