找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Agent-Oriented Information Systems II; 6th International Bi Paolo Bresciani,Paolo Giorgini,Michael Winikoff Conference proceedings 2005 Spr

[復制鏈接]
樓主: corrode
11#
發(fā)表于 2025-3-23 12:38:31 | 只看該作者
12#
發(fā)表于 2025-3-23 15:49:30 | 只看該作者
Analyzing Multiparty Agreements with Commitmentsent based on their individual constraints. The actual execution sequence is validated by checking the compliance of commitment casual relations. Our approach is geared toward constructing business processes where agents are mutually constrained in a manner that preserves their autonomy and heterogeneity.
13#
發(fā)表于 2025-3-23 18:25:02 | 只看該作者
AgentZ: Extending Object-Z for Multi-agent Systems Specificationuilt to provide a formal notation that allows the verification of design models, a key issue within the emerging agent-oriented software engineering research and, as a result, it can help to improve the quality of MAS.
14#
發(fā)表于 2025-3-24 00:47:53 | 只看該作者
15#
發(fā)表于 2025-3-24 04:32:29 | 只看該作者
A Preliminary Comparative Feature Analysis of Multi-agent Systems Development Methodologiesuation criteria, covering both agent-oriented aspects and system engineering dimensions. The analysis also compares the methodologies in terms of their support for the steps in the development process and for agent-oriented concept modeling.
16#
發(fā)表于 2025-3-24 08:57:54 | 只看該作者
17#
發(fā)表于 2025-3-24 13:39:44 | 只看該作者
A Systematic Approach for Including Machine Learning in Multi-agent Systemslearning strategies. This process supports the stepwise building of adaptable MASs for unknown situations, improving their capacity to scale up. We use the Trading Agent Competition (TAC) environment as a case study to illustrate the suitability of our approach.
18#
發(fā)表于 2025-3-24 14:55:45 | 只看該作者
19#
發(fā)表于 2025-3-24 20:12:05 | 只看該作者
20#
發(fā)表于 2025-3-25 02:09:32 | 只看該作者
Alette Vonk,Vasco Freitas Silvalearning strategies. This process supports the stepwise building of adaptable MASs for unknown situations, improving their capacity to scale up. We use the Trading Agent Competition (TAC) environment as a case study to illustrate the suitability of our approach.
 關于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-12 13:53
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
无棣县| 湘西| 南城县| 定安县| 平和县| 邛崃市| 梅河口市| 武汉市| 黄梅县| 阿荣旗| 克拉玛依市| 平乡县| 牡丹江市| 阜平县| 张家界市| 望江县| 南和县| 临颍县| 西和县| 康定县| 中阳县| 通许县| 吉木乃县| 雅江县| 诏安县| 涿鹿县| 吉隆县| 长寿区| 孙吴县| 安泽县| 桦南县| 五家渠市| 阿拉尔市| 安仁县| 邓州市| 久治县| 濉溪县| 独山县| 大厂| 乡宁县| 贵溪市|