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Record W2103302561 · doi:10.1109/dexa.2000.875151

A conceptual architecture for a combined negotiation support system

2002· article· en· W2103302561 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicMulti-Agent Systems and Negotiation
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsNegotiationWorkflowInterdependenceComputer scienceConceptual architectureArchitectureKnowledge managementWork (physics)Goods and servicesProcess managementSoftware engineeringHuman–computer interactionBusinessEngineeringDatabasePolitical science

Abstract

fetched live from OpenAlex

In a combined negotiation in e-commerce, the user is interested in many goods or services and consequently engages in many negotiations at the same time. The negotiations are independent of each other, whereas the goods or services are typically interdependent. Using currently available negotiation technology, the user conducts each negotiation separately, and has the burden of coordinating and reconciling them. The authors aim to provide a Combined Negotiation Support System (CNSS) to help the user conduct all the negotiations at the same time. The CNSS will enable the user to control and monitor the progress of the negotiations, and will make sure that the specified dependencies are respected. The architecture of the CNSS relies on workflow technology and on negotiating software agents. The paper starts by presenting the problem and giving an overview of the envisioned CNSS. Then, undertaking concepts and technology are discussed, and the proposed architecture is detailed. The paper concludes with a discussion of related work.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.974
Threshold uncertainty score0.393

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.032
GPT teacher head0.228
Teacher spread0.196 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations20
Published2002
Admission routes1
Has abstractyes

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