Communicating with sentences: A multi-word naming game model
This work addresses the problem of modeling multi-word communication in agent-based systems, but it is incremental as it builds directly on the existing naming game framework.
The authors extended the single-word naming game to a multi-word model (MWNG) to simulate describing complex objects with sentences, requiring consensus on both individual words and sentence patterns, and validated it on three network topologies with conventional and designed patterns.
Naming game simulates the process of naming an object by a single word, in which a population of communicating agents can reach global consensus asymptotically through iteratively pair-wise conversations. We propose an extension of the single-word model to a multi-word naming game (MWNG), simulating the case of describing a complex object by a sentence (multiple words). Words are defined in categories, and then organized as sentences by combining them from different categories. We refer to a formatted combination of several words as a pattern. In such an MWNG, through a pair-wise conversation, it requires the hearer to achieve consensus with the speaker with respect to both every single word in the sentence as well as the sentence pattern, so as to guarantee the correct meaning of the saying, otherwise, they fail reaching consensus in the interaction. We validate the model in three typical topologies as the underlying communication network, and employ both conventional and man-designed patterns in performing the MWNG.