Folding and Unfolding on Metagraphs
Not on the map. Why?
Abstract (arXiv)
Typed metagraphs are defined as hypergraphs with types assigned to hyperedges and their targets, and the potential to have targets of hyperedges connect to whole links as well as targets. Directed typed metagraphs (DTMGs) are introduced via partitioning the targets of each edge in a typed metagraph into input, output and lateral sets; one can then look at "metapaths" in which edges' output-sets are linked to other edges' input-sets. An initial algebra approach to DTMGs is presented, including introduction of constructors for building up DTMGs and laws regarding relationships among multiple ways of using these constructors. A menagerie of useful morphism types is then defined on DTMGs (catamorphisms, anamorphisms, histomorphisms, futumorphisms, hylomorphisms, chronomorphisms, metamorphisms and metachronomorphisms), providing a general abstract framework for formulating a broad variety of metagraph operations. Deterministic and stochastic processes on typed metagraphs are represented in terms of forests of DTMGs defined over a common TMG, where the various morphisms can be straightforwardly extended to these forests. A variation of the approach to undirected typed metagraphs is presented; and it is indicated how the framework outlined can applied to realistic metagraphs involving complexities like dependent and probabilistic types, multidimensional values and dynamic processing including insertion and deletion of edges.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 3 Dec 2020.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 2; 2022: 1; 2023: 1.
4 papers.
- 2023OpenCog Hyperon: A Framework for AGI at the Human Level and Beyondcited by 9
- 2021The General Theory of General Intelligence: A Pragmatic Patternist Perspectivecited by 8
- 2021Patterns of Cognition: Cognitive Algorithms as Galois Connections Fulfilled by Chronomorphisms On Probabilistically Typed Metagraphscited by 2
- 2022A meta-probabilistic-programming language for bisimulation of probabilistic and non-well-founded type systemscited by 0
- 2023OpenCog Hyperon: A Framework for AGI at the Human Level and Beyond19 Sep 2023
- 2022A meta-probabilistic-programming language for bisimulation of probabilistic and non-well-founded type systems30 Mar 2022
- 2021The General Theory of General Intelligence: A Pragmatic Patternist Perspective28 Mar 2021
- 2021Patterns of Cognition: Cognitive Algorithms as Galois Connections Fulfilled by Chronomorphisms On Probabilistically Typed Metagraphs21 Feb 2021