The most important role of a language is to facilitate interplay between individuals and to allow the entire population to communicate. As such, it is crucial for a distributed system of interacting agents to share a coherent language. In particular, in order to maintain consistent and understandable descriptions of the dynamic states of the external world the agents need to autonomously develop and adjust their individual semantics. In this paper we consider a set of agents capable of grounding and aligning autoepistemic statements with operators of possibility, belief, and knowledge. Assuming basic initial constraints and a pair-wise interaction scheme we show how a population of agents is able to align the meaning of utilised statements, thus allowing the agents to successfully communicate about the state of the external world. Using a simulated framework we further characterise the dynamic behaviour of the proposed solution.
Lecture notes in computer science: lecture notes in artificial intelligence: proceedings of the 3rd International Conference on Computational Collective Intelligence (ICCCI 2011), Gdynia, Poland, 21-23 September 2011,
Vol. 6923, pp. 70-79