OpenAI's Igor Mordatch is investigating new ways for machines to converse with each other by building virtual environments in which software bots learn to generate their own language out of necessity.
The two-dimensional environments enable the bots to create a language to collaborate and complete assigned tasks via reinforcement learning.
The bots construct language by assigning random abstract characters to simple concepts they learn through navigation, including each other.
Mordatch says these techniques can help machines better understand language and enable a true conversational interface.
Mordatch and colleagues note their approach diverges from most artificial intelligence research, which attempts to mimic human language using deep neural networks. "For agents to intelligently interact with humans, simply capturing the statistical patterns is insufficient," the researchers say. "An agent possesses an understanding of language when it can use language (along with other tools such as non-verbal communication or physical acts) to accomplish goals in its environment."
From Wired
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