Self-Organized Linguistic Systems: From traditional AI to bottom-up generative processes

In the proposed initial SOLS model, automatic generation of lexicon takes place in the context of a digital environment with objects, actions and agents with embodied cognition through peer-to-peer interactions. Specifically, this paper exposes how SOLS can be developed with bi-dimensional games and simulations. An initial work has been done with the xmunch-atomspace and the SciArt simulator, which constitute the first implementations of both our knowledge representation toolbox and our bi-dimensional simulator of P2P Social Dynamics. Non-interactive agent-based SOLS can allow artificial agents to independently evolve emergent languages as part of their self-organizing or adaptation processes.