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JJAP Conference Proceedings

JJAP Conf. Proc. 4, 011606 (2016) doi:10.7567/JJAPCP.4.011606

Brain-inspired model for multiagent semantic image interpretation

Mihaela Luca1, Violeta Tulceanu2

  1. 1Institute of Computer Science, Romanian Academy, Iaşi Branch, Romania
  2. 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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