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Toward a Smart City Using Tentacular AI

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11249))

Abstract

The European Initiative on Smart Cities [2] is an effort by the European Commission [4] to improve quality of life throughout Europe, while progressing toward energy and climate objectives. Many of its goals are relevant to and desirable in the world at large. We propose that it is essential that artificial agents in a Smart City have theories of the minds of its inhabitants. We describe a scenario in which such theories are indispensable, and cannot be adequately and usefully captured by current forms of ambient intelligence. Then, we show how a new form of distributed, multi-agent artificial intelligence, Tentacular AI, which among other things entails a capacity for reasoning and planning based in highly expressive cognitive calculi (logics), is able to intelligently address this situation.

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Notes

  1. 1.

    Note intensional states here denote cognitive states (including beliefs, knowledge, desires, intentions etc.). Extensional states denote states of the world without taking into account cognitive states. See [12, 13] for more details.

  2. 2.

    TAI applications like this give rise to privacy concerns which could possibly be resolved by employing either differential privacy [9] or privacy based on zero-knowledge proofs [10].

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Acknowledgements

This research is made possible by joint support from RPI and IBM under the AIRC program; we are grateful for this support. Some of the research reported on herein has been enabled by support from ONR and AFOSR, and for this too we are grateful.

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Correspondence to Atriya Sen .

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Sen, A. et al. (2018). Toward a Smart City Using Tentacular AI. In: Kameas, A., Stathis, K. (eds) Ambient Intelligence. AmI 2018. Lecture Notes in Computer Science(), vol 11249. Springer, Cham. https://doi.org/10.1007/978-3-030-03062-9_9

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  • DOI: https://doi.org/10.1007/978-3-030-03062-9_9

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