Environment recognition by agents using neural networks as a knowledge representation

Knowledge Representation in Neural Network Format

Abstract

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.