CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
Language Games for Autonomous Robots
IEEE Intelligent Systems
On some properties of grounding uniform sets of modal conjunctions
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Recalling the embodied meaning of modal conjunctions in artificial cognitive agents
KES-AMSTA'08 Proceedings of the 2nd KES International conference on Agent and multi-agent systems: technologies and applications
The physical symbol grounding problem
Cognitive Systems Research
Introducing fuzzy labels to agent-generated textual descriptions of incomplete city-traffic states
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part II
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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.