Plans and situated actions: the problem of human-machine communication
Plans and situated actions: the problem of human-machine communication
Unified theories of cognition
Context and consciousness: activity theory and human-computer interaction
Context and consciousness: activity theory and human-computer interaction
Brahms: simulating practice for work systems design
International Journal of Human-Computer Studies
Cambrian intelligence: the early history of the new AI
Cambrian intelligence: the early history of the new AI
Conceptual Coordination: How the Mind Orders Experience in Time
Conceptual Coordination: How the Mind Orders Experience in Time
Computation and Human Experience
Computation and Human Experience
Situated Cognition: On Human Knowledge and Computer Representations
Situated Cognition: On Human Knowledge and Computer Representations
Understanding Computers and Cognition: A New Foundation for Design
Understanding Computers and Cognition: A New Foundation for Design
Simulating activities: Relating motives, deliberation, and attentive coordination
Cognitive Systems Research
To BDI, or not to BDI: design choices in an agent-based traffic flow management simulation
Proceedings of the 2008 Spring simulation multiconference
Engineering Societies in the Agents World VIII
Agent-Oriented Software Engineering IX
Software Agents in Support of Human Argument Mapping
Proceedings of the 2010 conference on Computational Models of Argument: Proceedings of COMMA 2010
The fundamental principle of coactive design: interdependence must shape autonomy
COIN@AAMAS'10 Proceedings of the 6th international conference on Coordination, organizations, institutions, and norms in agent systems
Multi-agent activity modeling with the brahms environment
RuleML'13 Proceedings of the 7th international conference on Theory, Practice, and Applications of Rules on the Web
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The rational agent community uses Michael Bratman's planning theory of intention as its theoretical foundation for the development of its agent-oriented BDI languages. We present an alternative framework based on situated action and activity theory, combining both BDI and activity-based modeling, to provide a more general agent framework. We describe an activity-based, as opposed to a goal-based, BDI language and agent architecture, and provide an example that shows the flexibility of this language compared to a goal-based language.