Distributed Deliberation on Direct Help in Agent Teamwork

Akhlagh, Mojtaba Malek; Polajnar, Jernej

doi:10.1007/978-3-319-17130-2_9

Search citation statements

Order By: Relevance

Paper Sections

Select...

Action Help1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2022

Publication Types

Select...

Other1

Book1

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

(1 citation statement)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In another approach, different interaction models toward help actions are used, such as Requester-Initiated Action MAP (RIAMAP) and Helper-Initiated Action MAP (HIAMAP) [97,107]. In the first model, agents are able to proactively receive broadcasted help requests from teammates, whereas in the second model they are capable of proactively offering help to teammates.…”

Section: Action Helpmentioning

confidence: 99%

A distribute deadlock detection and resolution algorithm using agents

Samani¹

View full text Add to dashboard Cite

Deadlock is an intrinsic bottleneck in Distributed Real-Time Database Systems (DRTDBS). Deadlock detection and resolution algorithms are important because in DRTDBS, deadlocked transactions are prone to missing deadlines. We propose an Agent Deadlock Detection and Resolution algorithm (ADCombine), a novel framework for distributed deadlock handling using stationary agents, to address the high overhead suffered by current agent-based algorithms. We test a combined deadlock detection and resolution algorithm that enables the Multi Agent System to adjust its execution based on the changing system load, and that selects its victim transactions more judiciously. We demonstrate the advantages of ADCombine over existing algorithms that use agents or traditional edge-chasing through simulation experiments that measure overhead and performance under a widely vary-

show abstract

Section: Action Helpmentioning

confidence: 99%