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We propose SAGE, an agent-based environment monitoring and control system based on computation logic. SAGE uses forward chaining deductive inference to map low level sensor data to high level events, multi-agent abductive reasoning to provide possible explanations for these events, and teleo-reactive programming to react to these explanations, e.g. to gather extra information to check abduced hypotheses...
Artificial Neural Networks have previously been applied in neuro-symbolic learning to learn ground logic program rules. However, there are few results of learning relations using neuro-symbolic learning. This paper presents the system PAN, which can learn relations. The inputs to PAN are one or more atoms, representing the conditions of a logic rule, and the output is the conclusion of the rule. The...
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