The Function-Representation Model of Computation

Alfredo Ibias, Hector Antona, Guillem Ramirez-Miranda, Enric Guinovart, Eduard Alarcon
10/10/2024
cs.AI

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Abstract

Cognitive Architectures are the forefront of the research into developing an artificial cognition. However, they approach the problem from a separated memory and program model of computation. This model of computation poses a fundamental problem: the knowledge retrieval heuristic. In this paper we propose to solve this problem by using a novel model of computation, one where memory and program are merged: the Function-Representation. This model of computation involves defining a generic Function-Representation and instantiating multiple instances of it. In this paper we explore the potential of this novel model of computation through mathematical definitions and proofs. We also explore the kind of functions a Function-Representation can implement, and present different ways to organise multiple instances of a Function-Representation.

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Cite this paper

@article{ibias2024functionrepresentation,
  title  = {The Function-Representation Model of Computation},
  author = {Alfredo Ibias and Hector Antona and Guillem Ramirez-Miranda and Enric Guinovart and Eduard Alarcon},
  year   = {2024},
  eprint = {2410.07928},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2410.07928v3}
}

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