JSAI2025

Presentation information

Organized Session

Organized Session » OS-31

[3R5-OS-31] OS-31

Thu. May 29, 2025 3:40 PM - 5:20 PM Room R (Room 805)

オーガナイザ:三宅 陽一郎(立教大学),濱田 直希(KLab)

5:00 PM - 5:20 PM

[3R5-OS-31-05] Environment recognition by agents using neural networks as a knowledge representation

Knowledge Representation in Neural Network Format

〇YOUICHIRO MIYAKE1 (1. Rikkyo University)

Keywords:Neural Network, Knowledge Representation, Agent Architecture

Knowledge representation is often interpreted as symbolic representation, but in this paper, a method that uses a neural network as knowledge representation is proposed. That is, a pre-trained neural network is assigned to objects in the environment, and when the agent recognizes the object, the neural network is set in the agent architecture to realize appropriate behavior for that object.

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