Revised report on the algorithm language ALGOL 60
Communications of the ACM
Normal processes for modeling the desired behavior of distributed autonomous discrete event systems
Journal of Automata, Languages and Combinatorics
SAMON: Communication, Cooperation and Learning of Mobile Autonomous Robotic Agents
ICTAI '99 Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence
Quantitative Measure for Discrete Event Supervisory Control
Quantitative Measure for Discrete Event Supervisory Control
Sensor Network Operations
Self-Organizing Sensor Networks for Integrated Target Surveillance
IEEE Transactions on Computers
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Innovations in computing and communications have enabled autonomous electromechanical devices that change their internal states in response to real time interactions with other devices, software agents, or smart sensors. A critical research challenge is to harness the electro-mechanical capabilities of these devices via ad-hoc wireless networks to actuate deliberate processes which adapt to the operational dynamics and perform collaborative missions cognitively. C3L is a language designed to capture the semantics of the dynamical architecture of such systems for conducting complex, time-critical operations. The alphabet at each level of C3L consists of atomic events and actions, controllable or uncontrollable. Using a common alphabet, independently developed heterogeneous devices can plug and play in ad hoc networked applications with individual or coordinated strategies. This language provides an integrated framework for computation, communications and situation-aware control for multi-level fusion of distributed information. It combines the reasoning properties of agent-oriented languages with discrete event control of physical devices so that operational dynamics of the system can be embedded in the higher level semantics of the language. It takes advantage of abstraction and reasoning to build multi-device systems with both situation and self awareness. The syntax and semantics of C3L are presented and discussed in detail. The power and flexibility of C3L in modeling distributed dynamic operations, as opposed to predefined protocols for agent interaction languages, is illustrated through Dynamic Space-time Clustering of spatial-temporal sensor information for tracking a mobile target in a sensor field.