Computation in networks of passively mobile finite-state sensors
Proceedings of the twenty-third annual ACM symposium on Principles of distributed computing
ICALP '09 Proceedings of the 36th Internatilonal Collogquium on Automata, Languages and Programming: Part II
Not All Fair Probabilistic Schedulers Are Equivalent
OPODIS '09 Proceedings of the 13th International Conference on Principles of Distributed Systems
Algorithmic verification of population protocols
SSS'10 Proceedings of the 12th international conference on Stabilization, safety, and security of distributed systems
Stably decidable graph languages by mediated population protocols
SSS'10 Proceedings of the 12th international conference on Stabilization, safety, and security of distributed systems
Theoretical Computer Science
Passively mobile communicating machines that use restricted space
Theoretical Computer Science
Survey: Computational models for networks of tiny artifacts: A survey
Computer Science Review
Computing with large populations using interactions
MFCS'12 Proceedings of the 37th international conference on Mathematical Foundations of Computer Science
Stone age distributed computing
Proceedings of the 2013 ACM symposium on Principles of distributed computing
The computational power of simple protocols for self-awareness on graphs
Theoretical Computer Science
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Angluin et al. [1] introduced the notion of "Probabilistic Population Protocols" (PPP) where extremely limited agents are represented as finite state machines that interact in pairs under the control of an adversary scheduler. We provide a very general model that allows to examine the continuous dynamics of population protocols and we show that it includes the model of [1], under certain conditions, with respect to the continuous dynamics of the two models.