Quantum Aspects of Semantic Analysis and Symbolic Artificial Intelligence
<|reference_start|>Quantum Aspects of Semantic Analysis and Symbolic Artificial Intelligence: Modern approaches to semanic analysis if reformulated as Hilbert-space problems reveal formal structures known from quantum mechanics. Similar situation is found in distributed representations of cognitive structures developed for the purposes of neural networks. We take a closer look at similarites and differences between the above two fields and quantum information theory.<|reference_end|>
@article{aerts2003quantum,
    title={Quantum Aspects of Semantic Analysis and Symbolic Artificial
  Intelligence},
    author={Diederik Aerts and Marek Czachor},
    journal={J. Phys. A: Math. Gen. 37 (2004) L123-L132},
    year={2003},
    doi={10.1088/0305-4470/37/12/L01},
    archivePrefix={arXiv},
    eprint={quant-ph/0309022},
    primaryClass={quant-ph cs.CL}
}