| 研究実績の概要 |
The purpose of this research plan is to learn the long-vision conversation agents from scratch by allowing them to make sequential decisions in a multi-round communication. For these agents, the language ability, the self-concept identification ability, and the strategic conversation ability would be developed through three strategic communication games respectively.
In the first year, we have developed the basic language ability for the agents. Through a competing game of two communication agents, one agent is able to describe a given word with a simple natural language sentence. The generated sentences are syntactically and semantically reasonable, and can be well understood by human beings. And the other agent is able to read these generated sentence and to guess what the originally given word is.
The model for word-to-sentence interpretation and the model for sentence-to-word induction are based on two deep neural networks, respectively. These two models are trained side-by-side through a competing game, in which a correct round of interpretation-induction renders a positive feed back to encourage the models to make similar decisions in the future games while an incorrect round renders a negative feed back to encourage them to try other options in the future.
The developed language ability is found as the basis for the agents to describe their opinions for the other agents to infer those opinions from either similar agents or human beings.
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| 今後の研究の推進方策 |
To learn long-vision conversation agents, we will continue to develop a self-concept identification ability and a strategic conversation ability for the agents as proposed in the research plan.
Specifically for this year, we will focus on developing the self-concept identification ability for the agents, by asking them to categorize everyone’s social identities and to recognize the commonality in those social identities as their self-concepts. The already learned encoder and decoder networks in the last year will be integrated into a new model with a categorization layer on top, in order to interpret and induce the identities of themselves and the others for a successful self-concept recognition.
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