Towards a general theory of action and time
Artificial Intelligence
A logic-based calculus of events
New Generation Computing
Plans and situated actions: the problem of human-machine communication
Plans and situated actions: the problem of human-machine communication
Intelligence without representation
Artificial Intelligence
Computational research on interaction and agency
Artificial Intelligence - Special volume on computational research on interaction and agency, part 1
Coordination mechanisms: towards a conceptual foundation of CSCW systems design
Computer Supported Cooperative Work - Special issue on the design of cooperative systems
Situated Cognition: On Human Knowledge and Computer Representations
Situated Cognition: On Human Knowledge and Computer Representations
Temporal representation and reasoning in artificial intelligence: Issues and approaches
Annals of Mathematics and Artificial Intelligence
A Roadmap of Agent Research and Development
Autonomous Agents and Multi-Agent Systems
Mechanisms for environments in multi-agent systems: Survey and opportunities
Autonomous Agents and Multi-Agent Systems
Modeling dynamic environments in multi-agent simulation
Autonomous Agents and Multi-Agent Systems
Situated information systems: supporting routine activity in organisations
International Journal of Business Information Systems
Computers and Electronics in Agriculture
Simulating activities: Relating motives, deliberation, and attentive coordination
Cognitive Systems Research
An ecological approach to embodiment and cognition
Cognitive Systems Research
Environmental Modelling & Software
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The attempt of using lumped or agent-based simulation models to support operations management in production systems puts action modelling to the fore. To fill the gap of classical decision-support systems ignoring human agents' practices, a modelling framework of action at operations level is proposed. This framework aims at answering two questions: How to represent action? How to represent the management of action? Every action (i.e., what is actually done by an agent) is represented by a binary function of time governed by events detected upon processes of various kinds: artefacts (clocks or schedules), external processes occurring in the environment, other actions. In turn, every action exerts its effect on target processes. This modelling framework allows one to simulate the interpretation of ongoing actions by using temporal or propositional logics and operations management behaviors through plan specification and execution, action composition, and resource allocation to concurrent actions. It enables complex activity systems to be represented and management options to be tested by simulation. These capacities are illustrated on the example of a farming system. The main benefits and issues raised by this dynamical system approach close to the `situated' (vs. `planned') action paradigm are discussed in the light of related works in Artificial intelligence. Future directions of research are drawn, namely that of how to scale up this lower-level representation of action to the higher-level representation of agents endowed with skills relevant at the level of the individual (e.g., anticipation).