Intelligent Techniques for Resolving Conflicts of Knowledge in Multi-Agent Decision Support Systems

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 1401.4381 v1 pith:4HUHDYEM submitted 2014-01-17 cs.MA

Khaled M. Khalil , M. Abdel-Aziz , Taymour T. Nazmy , Abdel-Badeeh M. Salem This is my paper · ORCID

classification cs.MA

keywords decisionintelligentmulti-agentsupportsystemstechniquesconflictconflicts

verification ladder T0 review T1 audit T2 compute T3 formal

No signed human review yet.

0 comments

read the original abstract

This paper focuses on some of the key intelligent techniques for conflict resolution in Multi-Agent Decision Support Systems.

Forward citations

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

Playing a Strategy Game with Knowledge-Based Reinforcement Learning
cs.AI 2019-08 conditional novelty 6.0 of 10

A multi-expert FreeCiv agent that used reinforcement learning to pick among conflicting human rules beat every single-expert rule set and won in 287 average turns versus 291 for the best expert.