Search algorithms for automated negotiation in large domains
This work presents several new and efficient algorithms that can be used by negotiating
agents to explore very large outcome spaces. The proposed algorithms can search for bids …
agents to explore very large outcome spaces. The proposed algorithms can search for bids …
Sequential Resource Trading Using Comparison-Based Gradient Estimation
S Murthy, MO Karabag, U Topcu - arXiv preprint arXiv:2408.11186, 2024 - arxiv.org
Autonomous agents interact with other agents of unknown preferences to share resources in
their environment. We explore sequential trading for resource allocation in a setting where …
their environment. We explore sequential trading for resource allocation in a setting where …
Enabling Negotiating Agents to Explore Very Large Outcome Spaces
This work presents BIDS (Bi dding using D iversified S earch), an algorithm that can be used
by negotiating agents to search very large outcome spaces. BIDS provides a balance …
by negotiating agents to search very large outcome spaces. BIDS provides a balance …
[图书][B] Contributions to Service Level Agreement (SLA), Negotiation and Monitoring in Cloud Computing
A Alqarni - 2022 - search.proquest.com
Cloud computing is a dynamic field of research, as the latest advances in the cloud
computing applications have led to development of a plethora of cloud services in the areas …
computing applications have led to development of a plethora of cloud services in the areas …
Agent yk: An efficient estimation of opponent's intention with stepped limited concessions
Y Kadono - Recent advances in agent-based complex automated …, 2016 - Springer
On my agent, I heavily focused on this efficiency issue to realize a great scalability for the
estimation of opponents' preferences. Naturally, to realize it, we should consider some …
estimation of opponents' preferences. Naturally, to realize it, we should consider some …
ANAC: Automated Negotiating Agents Competition (国際自動交渉エージェント競技会)(< 特集> 人工知能研究のベンチマークとは-標準問題・データセット・評価手法-)
藤田桂英， 森顕之， 伊藤孝行 - 人工知能, 2016 - jstage.jst.go.jp
でにデルフト工科大学のチームで開発していた GENIUS [Lin 14] を利用することになった.
著者らは, まずはエージェントをスクラッチから書いてみるという方向で貢献することにした …
著者らは, まずはエージェントをスクラッチから書いてみるという方向で貢献することにした …