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S. Parsons

14 papers hereh-index 5715.5k citations503 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author1
  • middle author4
  • last author6

Across the 12 of 14 papers where every author was matched, so the position is known.

fields
  • cs.AI8
  • cs.GT2
  • cs.RO2
  • cs.CR1
  • cs.MA1
same name
  • S. Parsons — 83 papers, h 31
  • S. Parsons — 39 papers, h 18
  • S. Parsons — 17 papers, h 5
  • S. Parsons — 4 papers, h 1
  • S. Parsons — 3 papers, h 3
  • S. Parsons — 2 papers, h 19

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20092023
most citedRisk Agoras: Dialectical Argumentation for Scientific Reasoning

38 citations · 101 across the 12 of their papers we have counts for

collaborators
Showing 2013 · cs.AIShow all

4 papers · 2 filters

cs.AI2013

On reasoning in networks with qualitative uncertainty

Simon Parsons, E. H. Mamdani

In this paper some initial work towards a new approach to qualitative reasoning under uncertainty is presented. This method is not only applicable to qualitative probabilistic reas…

cs.AI2013★ 27 cited

Refining Reasoning in Qualitative Probabilistic Networks

Simon Parsons

In recent years there has been a spate of papers describing systems for probabilisitic reasoning which do not use numerical probabilities. In some cases the simple set of values us…

cs.AI2013★ 12 cited

Pivotal Pruning of Trade-offs in QPNs

Silja Renooij, Linda C. van der Gaag, Simon Parsons +1

Qualitative probabilistic networks have been designed for probabilistic reasoning in a qualitative way. Due to their coarse level of representation detail, qualitative probabilisti…

cs.AI2013★ 38 cited

Risk Agoras: Dialectical Argumentation for Scientific Reasoning

Peter McBurney, Simon Parsons

We propose a formal framework for intelligent systems which can reason about scientific domains, in particular about the carcinogenicity of chemicals, and we study its properties.…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.