Abstract
A definition of language is proposed in which language is a low-bandwidth channel that can increase agent rewards in a reinforcement learning setting, and in which agents can learn to produce language and teach it to other agents. Societies of agents are being modeled by economists to understand economic instability and other non-equilibrium phenomena. I hypothesize a divergent distribution of intelligence in societies of agents when rewards can be exchanged for increases in agent information processing capacity.
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Hibbard, B. (2011). Societies of Intelligent Agents. In: Schmidhuber, J., Thórisson, K.R., Looks, M. (eds) Artificial General Intelligence. AGI 2011. Lecture Notes in Computer Science(), vol 6830. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22887-2_31
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DOI: https://doi.org/10.1007/978-3-642-22887-2_31
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