JJAP Conf. Proc. 4, 011606 (2016) doi:10.7567/JJAPCP.4.011606
Brain-inspired model for multiagent semantic image interpretation
- 1Institute of Computer Science, Romanian Academy, Iaşi Branch, Romania
- 2Faculty of Computer Science, “Al. I. Cuza” University of Iaşi, Romania
- Received September 29, 2015
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We propose a semantic model of interpreting and expressing the contents of images based on a simplified mathematical model of human reasoning, derived from data captured by brain-computer interfacing. Our goal is to allow a mobile agent to capture images and transmit in abstract sentences of a formal language its basic observations to a human or to another intelligent agent. The model permits learning from and communication with other agents, as it is a high-level formalism, independent of agent representation of image. This enables sensor fusion and inter-agent interpretation of input. The visible universe and image content can be understood via the agent’s personal observations and/or sentences sent by other agents. The model is applicable for smart home surveillance and street surveillance.
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