Behavior Comparison in Game of Chicken with Cards Based on Bayesian Inference Models
Takuto Sekine; Kazuto Sasai, ラスト(シニア)オーサー
Proceedings of the Joint Symposium of AROB-ISBC-SWARM2023, 2023年01月25日, ［査読有り］
Gaze Trajectory Prediction Based on Inverse Bayesian Inference
Ryuichi Kubota; Kazuto Sasai, ラスト(シニア)オーサー
Proceedings of the Joint Conference of AROB-ISBC-SWARM2013, 2023年01月25日, ［査読有り］
CCR ゲームにおける不確実性とエージェントの創造的行動戦略
関根拓人; 笹井一人, ラスト(シニア)オーサー, 公益社団法人計測自動制御学会
第23回システムインテグレーション部門講演会, 2022年12月13日
ラフ集合誘導束によるミステリー小説の分析に関する研究
三野宮楓太; 笹井一人, ラスト(シニア)オーサー, 公益社団法人 計測自動制御学会
第23回システムインテグレーション部門講演会, 2022年12月13日
拡張ベイズ推論に基づく人間の視線行動予測に関する研究
久保田隆一; 笹井一人, ラスト(シニア)オーサー, 公益社団法人 計測自動制御学会
第23回システムインテグレーション部門講演会, 2022年12月13日
オンライン対話を和ませ共創する天然知能的傍観者
笹井一人; 熊谷遼太; 鈴木優太; 柴田奎哉, 筆頭著者, 公益社団法人 計測自動制御学会
第23回システムインテグレーション部門講演会, 2022年12月13日
対話における持続と創造のための媒介者エージェント
熊谷遼太; 柴田奎哉; 鈴木優太; 笹井一人, ラスト(シニア)オーサー
第6回共創学会年次大会講演論文集, 2022年11月30日
市場モデルにおけるエージェントの創造性と非合理性
岡野龍樹; 花崎諒; 笹井一人, ラスト(シニア)オーサー
第6回共創学会年次大会講演論文集, 2022年11月30日
指先で共創表現するスマホアプリとエージェントアルゴリズム
井深綾乃; 笹井一人; 望月諒登; 渋谷麗夢, ラスト(シニア)オーサー
第6回共創学会年次大会講演論文集, 2022年11月30日
集団の膠着を解消するノイズとその汎化手法の検討
花崎諒; 笹井一人, ラスト(シニア)オーサー
第6回共創学会年次大会講演論文集, 2022年11月30日
Multiagent-Based Data Presentation Mechanism for Multifaceted Analysis in Network Management TasksKazuto Sasai; Ryota Fukutani; Gen Kitagata; Tetsuo Kinoshita, 筆頭著者, Although network management tasks are highly automated using big data and artificial intelligence technologies, when an unforeseen cybersecurity problem or fault scenario occurs, administrators sometimes directly analyze system data to make a heuristic decision. However, a wide variety of information is required to address complex cybersecurity risks, whereas current systems are focused on narrowing the candidates of information. In this study, we propose a multiagent-based data presentation mechanism (MADPM) that consists of agents operating data-processing tools that store and analyze network data. Agents in MADPM interact with other agents to form data-processing sequences. In this process, we design not only the composition of the sequence according to requirements, but also a mechanism to expand it to enable multifaceted analysis that supports heuristic reasoning. We tested five case studies in the prototype system implemented in an experimental network. The results indicated that the multifaceted presentation of data can support administrators more than the selected single-faceted optimal presentation. The final outcome of our proposed approach is the provision of a multifaceted and cross-system data presentation for heuristic inference in network management tasks., MDPI AG
Sensors, 2022年11月15日,
［査読有り］ Intensive Transformation of Agitated Humans in Collective Collaboration Game
Ryo Hanazaki; Kazuto Sasai, ラスト(シニア)オーサー
Proceedings of the Joint Symposium of AROB 27th, ISBC 7th, and SWARM 5th, 2022年01月, ［査読有り］
Affective Interaction Between Human and Agent via Inverse Bayesian Inference
Kazuto Sasai; Ryo Hanazaki, 筆頭著者
Proceedings of the Joint Symposium of AROB 27th, ISBC 7th, and SWARM 5th, 2022年01月, ［査読有り］
Effect of Hidden Vector on the Speech of PRVATetsuya MatsuiIori TaniKazuto SasaiYukio-Pegio Gunji, This study aimed to propose a novel method for designing a product recommendation virtual agent (PRVA) that can keep users motivated to interact with the agent. In prior papers, many methods of keeping users motivated postulated real-time and multi-modal interactions. The proposed novel method can be used in one-direction interaction. We defined the notion of the “hidden vector,” that is, information that is not mentioned by a PRVA and that the user can suppose spontaneously. We conducted an experiment to verify the hypothesis that PRVAs having a hidden vector are more effective than other PRVAs. As a result, it was shown that PRVAs having a hidden vector were perceived as being more persuasive than other PRVAs and strongly motivated the users to use the PRVAs. From these results, the proposed method was shown to be effective., Frontiers Media SA
Frontiers in Psychology, 2021年05月28日,
［査読有り］ Asynchronous time–space model for evolutionary marketKazuto Sasai, An economic system is thought to be evolutionary growing. Economists investigate human decision-making by monetary value. However, the emergent property of the economy has not been explained. A model considering the extent of the monetary value is required. In this paper, a time–space model is proposed to elucidate the economic evolution of a market. Since the market activities are always open and realtime, the model of time and space is complicated. For the complexity, the probabilistic boundary and expectations under a low-possibility are introduced. Then, time and space cannot be separated and are defined as an asynchronous relationship. We apply this time–space model to the adaptive agent models of single and double auctions. The results of the numerical simulation indicate the intermittency in a broad area of the control parameter. This result concludes that the extent of monetary value can be a basis of the evolutionary market., Elsevier
Biosystems, 2020年10月10日,
［査読有り］ 自己開示中の「意味深な発話」によるバーチャルエージェントの説得効果上昇 -台風が来るから私はコロッケを買う-
松井哲也; 谷伊織; 笹井一人, ラスト(シニア)オーサー, 商品推薦などを行うロボットもしくはバーチャルエージェントの発話内容は，多くの場 合論理的正確さが重視されてきた.しかし，日常生活の中では「台風が来るからコロッケを買いに行 く」のような，一見論理性のない発話がある種の説得力を持つ状況が存在する.このような発話が説 得力を持つのは，会話の外部にある「媒介項」を聞き手が召喚しているためであると考えられる(上 記の例で言えば，「台風で停電になった場合には，調理せずそのまま食べられるコロッケが有用であ る」のような).このような媒介項を召喚しうる発話をバーチャルエージェントに実装し，効果の上 昇を試みる.
HAIシンポジウム 2020 講演論文集, 2020年03月06日
Augmented Interaction Mechanism for Physically Consistent Collaboration Between Humans and Intelligent Agents in Network Management
Kazuto Sasai; Kazuya Kobayashi; Tetsuo Kinoshita, 筆頭著者
In: Sato H., Iwanaga S., Ishii A. (eds) Proceedings of the 23rd Asia Pacific Symposium on Intelligent and Evolutionary Systems. IES 2019. Proceedings in Adaptation, Learning and Optimization, 2019年12月05日, ［査読有り］
Clustering Malicious DNS Queries for Blacklist-Based DetectionAkihiro Satoh; Yutaka Nakamura; Daiki Nobayashi; Kazuto Sasai; Gen Kitagata; Takeshi Ikenaga, Some of the most serious threats to network security involve malware. One common way to detect malware-infected machines in a network is by monitoring communications based on blacklists. However, such detection is problematic because (1) no blacklist is completely reliable, and (2) blacklists do not provide the sufficient evidence to allow administrators to determine the validity and accuracy of the detection results. In this paper, we propose a malicious DNS query clustering approach for blacklist-based detection. Unlike conventional classification, our cause-based classification can efficiently analyze malware communications, allowing infected machines in the network to be addressed swiftly.
IEICE Transactions on Information and Systems, 2019年07月,
［査読有り］ An Agent-Based Intelligent Data Presentation Mechanism for Multifaceted AnalysisKazuto Sasai; Hiroshi Matsumura; Ryota Fukutani; Gen Kitagata; Tetsuo Kinoshita, 筆頭著者, Network management tasks are increasing its complexity because of the development of the IoT environment, virtualization technologies. To keep the safety and security of the network systems, the advances of analysis method for various network data is required for the practical problem-solving. Although many IT tools to support the data analysis works in network management, it is not enough for adaptation to developing environment. Also, the solutions do not consider the knowledge variety of users. In this paper, we propose an agent-based approach for data presentation to support the analysis from multiple aspects in network management works. Concretely, we design the self-organized analysis procedure based on the cooperation among agents and the interactive requirement estimation mechanism to improve the support functions for the diverse of the users’ knowledge. The evaluation experiments show the effectiveness of the prototypical system designed according to the proposed approach., Springer, Cham
Barolli L., Hussain F., Ikeda M. (eds) Complex, Intelligent, and Software Intensive Systems. CISIS 2019. Advances in Intelligent Systems and Computing, 2019年06月21日,
［査読有り］ ネットワーク管理における協働支援インタフェース
小林司弥; 星野拓也; 福谷遼太; 笹井一人; 木下哲男
2019年電子情報通信学会総合大会通信講演論文集, 2019年03月
Proactive Service Management in Disaster Recovery Phase with Non-destructive Benchmarking Technique
Yusuke Tanimura; Kazuto Sasai; Tetsuo Kinoshita, In this paper, we introduce a network management system for autonomous service management that can be effectively utilized in emergency situations. In order to alleviate the problem of a shortage of human resources in disaster situations, approaches for autonomous service management are helpful. Such approaches require knowledge of maximum load capacity of managed server systems so that a benchmark test should be conducted to acquire knowledge. However, in a disaster recovery phase, a configuration of the server system changes frequently due to the occurrence of the secondary disaster or fluctuating user demand. Therefore, a benchmark technique should be established that can be applied even to running server systems. In our proposal, we describe a non-destructive benchmarking technique that can acquire knowledge of the maximum load capacity of the server system without imposing heavy load. A prototype system based on our proposal is designed and implemented for experiments. The results of the experiments confirm that the proposed system can stably operate a service by proactively controlling the amount of computing resource of the server system.
2019 IEEE International Conference on Big Data and Smart Computing (BigComp), 2019年02月27日, ［査読有り］
Collaboration mechanism between human administrators and agent-oriented network management systems
Kazuto Sasai; Takuya Hoshino; Ryota Fukutani; Tetsuo Kinoshita, 筆頭著者, Disaster risks are always unpredictable, and it is impossible to prepare with predefined functions of the systems including not only automatic mechanical systems but also human groups of engineers and administrators. In this paper, to tackle the problem of disaster risks reduction, we propose a practical design and demonstration of the mechanism of collaboration between humans and agents of network management systems. As an example function of the collaboration, we develop the collaborative agents mediating the human users and the agents dealing with the network management functions. From the evaluation experiments using prototypical implementations show the possibility of the actual effectiveness of the proposed mechanism.
2019 IEEE International Conference on Big Data and Smart Computing (BigComp), 2019年02月27日, ［査読有り］
初級管理者支援のためのネットワーク加工・表示機能の提案
佐藤充祥; 福谷遼太; 笹井一人; 北形元; 木下哲男
第24回先進的情報通信⼯学研究会, 2019年02月
⼈とエージェントの協働から共創的問題解決へ
笹井⼀⼈; 星野拓也; 松村洋志; 福⾕遼太; ⽊下哲男
第24回先進的情報通信⼯学研究会, 2019年02月
ネットワーク管理における⼈間―エージェント協働⽀援インタフェース
⼩林司弥; 星野拓也; 福⾕遼太; 笹井⼀⼈; 北形元; ⽊下哲男
第24回先進的情報通信⼯学研究会, 2019年02月
人・エージェント共同体に基づく共創システム
笹井一人; 福谷遼太; 木下哲男
第19回計自動制御学会システムインテグレーション部門講演会 (SI2018), 2018年12月
人とエージェントの協働による自律適応システムに向けて
笹井一人; 星野拓也; 松村洋志; 福谷遼太; 木下哲男
共創学会第2 回年次大会予稿集, 2018年12月
A Flexible Collaboration Mechanism Between Humans and Agents on Disaster Recovery of Network Systems
Kazuto Sasai; Takuya Hoshino; Hiroki Nagasawa; Ryota Fukutani; Tetsuo Kinoshita, 筆頭著者
Proc. of 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE 2018), 2018年10月01日, ［査読有り］
Characterization of the Imaged R/S Pox Diagram for Low-rate DoS Attack
Akinori TAKAHASHI; Ryuji IGARASHI; Kazuto SASAI; Hiroshi UEDA; Yukio IWAYA; Tetsuo KINOSHITA; Masashi HASHIMOTO, A low-rate denial of service (LDoS) attack can degrade the quality of TCP communication with fewer attack traffic. The LDoS attack transmits such network traffic that conforms to the minimum value of TCP retransmission timeout. This provides periodic features to the traffic concerned. We consider the application of an R/S Pox Diagram characteristic which can represent the LDoS attack periodicity. An R/S Pox Diagram shows a characteristic plot shape against the periodicity of the LDoS attack. The distinct shape of the plot is quantified as shape features of the two-dimensionally imaged R/S Pox Diagram. Our proposal in this paper is to positively make use of the shape features of the two-dimensionally imaged R/S Pox Diagram. We show the effectiveness of the shape features utilization by showing their detection performance to pieces of simulating LDoS attack.
International Journal of the Society of Materials Engineering for Resources, 2018年09月30日, ［査読有り］
ゆるい意味の伝達に基づく共創コミュニケーション：“例えツッコミ“を用いたエージェントによる情報提示手法
福谷遼太; 笹井一人; 木下哲男
共創学会第3 回共創学研究会アブストラクト集, 2018年03月
Collective interaction between humans and agents in the network management tasks
Kazuto Sasai; Takuya Hoshino; Gen Kitagata; Tetsuo Kinoshita, 筆頭著者
Proc. of The Twenty-Third International Symposium on Artificial Life and Robotics 2018 (AROB 23rd 2018), 2018年, ［査読有り］
人とエージェントの円滑な協働を実現するファシリテーション手法
長澤弘輝; 星野拓也; 福谷遼太; 笹井一人; 木下哲男
共創学会第3 回共創学研究会アブストラクト集, 2017年11月
Knowledge-Based Network Management System for Movable and Deployable ICT Resource Unit
Yusuke Tanimura; Kazuto Sasai; Gen Kitagata; Tetsuo Kinoshita
Journal of Computer and Communications, 2017年, ［査読有り］
An Agent-based Data Analytics Support Tool for Network Management Intelligence
Kazuto Sasai; Yusuke Tanimura; Hideyuki Takahashi; Gen Kitagata; Tetsuo Kinoshita, 筆頭著者
International Journal of Energy, Information and Communications (IJEIC), 2017年, ［査読有り］
Extremely Local Interaction in a Market Model
Kazuto Sasai; Yukio-Pegio Gunji; Tetsuo Kinoshita
Proc. of The Twenty-First International Symposium on Artificial Life and Robotics 2016 (AROB 21st 2016), 2016年, ［査読有り］
地域型サービスの安全な個人化に関する検討 (モバイルネットワークとアプリケーション)北形 元; 鈴木 遼雅; 高橋 秀幸; 笹井 一人; 木下 哲男, 本稿では,ワイヤレスメッシュネットワークの平時活用を目的とし,地域密着型アプリケーションのための,安全なサービス個人化手法について検討を行う.東日本大震災後,大規模災害によりダメージを受けた電話や情報ネットワークを素早く復旧するネットワークとして,ワイヤレスメッシュネットワークの有効性が評価されている.しかしながら,自治体への導入を促進するには,平時にも活用できる,地域密着型のアプリケーションの開発が求められる.そこで,高齢者等,地域に住む人々それぞれにあわせたきめの細かいサービスを実現するための,安全なサービス個人化手法について検討する., 一般社団法人電子情報通信学会
電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 2015年01月26日,
［査読有り］ Collective behavior in the agent-based market model with framing heuristics
Kazuto Sasai; Yuki-Pegio Gunji; Tetsuo Kinoshita, 筆頭著者
Proc. of The Twenty International Symposium on Artificial Life and Robotics (AROB 20th 2015), 2015年, ［査読有り］
近距離無線通信を用いた心的状況を共有する新たなネットワークサービスの提案 (コミュニケーションクオリティ)桑原 崚介; 笹井 一人; 高橋 秀幸; 山崎 達也, 本稿では,ユーザの心の内の状態,すなわち心的状況を共有することにより,現実世界での人同士のつながりを強化する,新しいコミュニケーションサービスを提案する.昨今,インターネット上での人間関係を構築することを目的としたSNS(Social Networking Service)が流行しており,それによって人々は仮想空間上での友人関係を構築し,交流し合うことができる.一方で現実社会では,少子高齢化,晩婚化や,若者の都市部集中などといった原因により,単身世帯が増え,社会の中での人間関係が希薄になるというギャップが生じてきている.我々は,このようなギャップを少しでも埋め,現実社会でのユーザ間のつながりを強化する新たなネットワークサービスを提案する.提案サービスは,近距離無線通信を用いて,比較的物理的距離が近い人同士であるユーザの心的状況を共有するものであり,その場に居合わせた人と新しい人間関係を構築し,また以前からの知り合いとの人間関係をより強化することを可能にする.ここでは,提案サービスを構成するネットワークアーキテクチャ,メッセージフロー,並びにミドルウェアとしての実装方法について報告する., 一般社団法人電子情報通信学会
電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 2014年09月11日,
［査読有り］ 能動的情報資源に基づく応急的ネットワークサービスの管理運用支援 (モバイルネットワークとアプリケーション)谷村 優介; 笹井 一人; 北形 元; 木下 哲男, 本稿では,緊急時に応急的に構築されるネットワークサービスの円滑な管理運用を支援することを目的とした,ネットワーク管理支援システムを提案する.災害時には管理者間・拠点間でネットワークシステムの構成情報の共有が困難となるため,障害対応時に必要な情報が足りず,障害解決に時間がかかる場合がある.本システムでは能動的情報資源化された機器自身が管理者に代わってネットワークシステムの構成情報を取得・共有し,自律的に管理知識と連携して障害解決を図る.最後に,試作システムによる実験を通して,本提案の有効性を示す., 一般社団法人電子情報通信学会
電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 2014年09月11日,
［査読有り］ IPサブネットの推定に基づくL2ネットワークの自動接続手法 (モバイルネットワークとアプリケーション)北形 元; 唐鎌 行大; 伊藤 大視; 高橋 秀幸; 笹井 一人; 木下 哲男, 本稿では,イーサネットフレームとIPヘッダフレームから抽出した情報に基づき,ネットワークスイッチに接続されたIPサブネットを推定することにより,ネットワークスイッチの各ポートにVLANに関する設定を行い,L2ネットワークを自働的に接続する手法を提案する.さらに試作システムを用いた実験を通じ,本手法により,災害時等にネットワークスイッチが故障した際に,代替機にネットワークケーブルを接続するだけで,少ない到着フレーム数で迅速にVLAN設定を推定可能であることを示す., 一般社団法人電子情報通信学会
電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 2014年05月15日,
［査読有り］ A Knowledge-based Network Management System Using Active Information Resources
Tetsuo Kinoshita; Gen Kitagata; Hideyuki Takahashi; Kazuto Sasai; Khamisi Kalegele
International Journal of Advanced Smart Convergence, 2014年05月, ［査読有り］
User-Oriented Information Delivery System Using Active Information Resources
Tetsuo Kinoshita; Hideyuki Takahashi; Kazuto Sasai; Gen Kitagata
Advanced and Applied Convergence Letters (AACL 03), 2014年, ［招待有り］
Agent-Oriented Middleware for Cooperation of Heterogeneous Devices
Takumi Kato; Ryo Chiba; Hideyuki Takahashi; Kazuto Sasai; Gen Kitagata; Tetsuo Kinoshita
Proc. of International Conference on Smart Technologies for Energy, Information and Communication 2014 (IC-STEIC2014), 2014年, ［査読有り］
An Automatic VLAN Discovery Method based on IP Subnet Estimation
Gen Kitagata; Yukihiro Karakama; Taishi Ito; Hideyuki Takahashi; Kazuto Sasai; Tetsuo Kinoshita
Proc. of International Conference on Smart Technologies for Energy, Information and Communication 2014 (IC-STEIC2014), 2014年, ［査読有り］
A Model of Market Behavior based on Time and Space Uncertainty
Kazuto Sasai; Yukio-Pegio Gunji; Tetsuo Kinoshita, 筆頭著者
Proc. of The Nineteenth International Symposium on Artificial Life and Robotics (AROB 19th 2014), 2014年, ［査読有り］
Numerosity Reduction for Resource Constrained LearningKalegele Khamisi; Takahashi Hideyuki; Sveholm Johan; Sasai Kazuto; Kitagata Gen; Kinoshita Tetsuo, When coupling data mining (DM) and learning agents, one of the crucial challenges is the need for the Knowledge Extraction (KE) process to be lightweight enough so that even resource (e.g., memory, CPU etc.) constrained agents are able to extract knowledge. We propose the Stratified Ordered Selection (SOS) method for achieving lightweight KE using dynamic numerosity reduction of training examples. SOS allows for agents to retrieve different-sized training subsets based on available resources. The method employs ranking-based subset selection using a novel Level Order (LO) ranking scheme. We show representativeness of subsets selected using the proposed method, its noise tolerance nature and ability to preserve KE performance over different reduction levels. When compared to subset selection methods of the same category, the proposed method offers the best trade-off between cost, reduction and the ability to preserve performance., Information and Media Technologies Editorial Board
Information and Media Technologies, 2013年
A Cooperative Multi-agent System Infrastructure for Heterogeneous Sensor Environment
Taishi Ito; Yasuhiro Kurita; Hideyuki Takahashi; Kazuto Sasai
International Journal of Energy, Information and Communications, 2013年, ［査読有り］
An Agent-based Network Management System Using Active Information Resources
Tetsuo Kinoshita; Gen Kitagata; Hideyuki Takahashi; Kazuto Sasai; Khamisi Kalegele
International Journal of Advanced Smart Convergence (IJASC), 2013年, ［査読有り］, ［招待有り］
System monitoring models as active information resourcesKhamisi Kaiegele; Hideyuki Takahashi; Kazuto Sasai; Gen Kitagata; Tetsuo Kinoshita, IEEE Computer Society
2013 International Joint Conference on Awareness Science and Technology and Ubi-Media Computing: Can We Realize Awareness via Ubi-Media?, iCAST 2013 and UMEDIA 2013, 2013年,
［査読有り］ Multiagent-Based Management of Energy Demand and Supply Based on Priority in Microgrid
Takumi Kato; Hideyuki Takahashi; Kazuto Sasai; Gen Kitagata; Kim Hak-Man; Tetsuo Kinoshita
Proc. of the 2nd International Workshop on Smart Technologies for Energy, Information and Communication (STEIC2013), 2013年, ［査読有り］
User-Oriented Information Delivery System based on Autonomous Cooperation of Heterogeneous Contents
Shota Kotato; Hideyuki Takahashi; Wei Wenpeng; Kazuto Sasai; Gen Kitagata; Tetsuo Kinoshita
Proc. of the 2nd International Workshop on Smart Technologies for Energy, Information and Communication (STEIC2013), 2013年, ［査読有り］
An Autonomic Network Service Management using Knowledge-based Support System
Yusuke Tanimura; Johan Sveholm; Kazuto Sasai; Gen Kitagata; Tetsuo Kinoshita
Proc. of the 2nd International Workshop on Smart Technologies for Energy, Information and Communication (STEIC2013), 2013年, ［査読有り］
An Autonomic Network Service Management using Knowledge-based Support System
Yusuke Tanimura; Johan Sveholm; Kazuto Sasai; Gen Kitagata; Tetsuo Kinoshita
Proc. of the 2nd International Workshop on Smart Technologies for Energy, Information and Communication (STEIC2013), 2013年, ［査読有り］
A Data Reservoir Agent for KDD-based Systems Analytics
Khamisi Kalegele; Hideyuki Takahashi; Kazuto Sasai; Gen Kitagata; Tetsuo Kinoshita
Proc. of the 2nd International Workshop on Smart Technologies for Energy, Information and Communication (STEIC2013), 2013年, ［査読有り］
Sequence Validation Based Extraction of Named High Cardinality Entities
Khamisi Kalegele; Hideyuki Takahashi; Kazuto Sasai; Gen Kitagata; Tetsuo Kinoshita
International Journal of Intelligence Science (IJIS), 2012年, ［査読有り］
Multiagent-Based Demand and Supply Control Scheme in Islanded Microgrid
Takumi Kato; Hideyuki Takahashi; Kazuto Sasai; Gen Kitagata; Hak-Man Kim; Tetsuo Kinoshita
Proc. of the 1st International Workshop on Smart Technologies for Energy, Information and Communication (IW-STEIC2012), 2012年, ［査読有り］
Agent-based Processing of Server Operational Data Using NLP Approaches
Khamisi Kalegele; Hideyuki Takahashi; Kazuto Sasai; Gen Kitagata; Tetsuo Kinoshita
Proc. of the 1st International Workshop on Smart Technologies for Energy, Information and Communication (IW-STEIC2012), 2012年, ［査読有り］
Design of Cooperation Scheme of Active Information Resource for Heterogeneous Contents
Wenpeng Wei; Aki Asanuma; Taishi Ito; Hideyuki Takahashi; Kazuto Sasai; Gen Kitagata; Tetsuo Kinoshita
Proc. of the 1st International Workshop on Smart Technologies for Energy, Information and Communication (IW-STEIC2012), 2012年, ［査読有り］
A Concept of Agent-based Cooperative Framework for Heterogeneous Sensor
Taishi Ito; Yasuhiro Kurita; Hideyuki Takahashi; Kazuto Sasai; Gen Kitagata; Tetsuo Kinoshita
Proc. of the 1st International Workshop on Smart Technologies for Energy, Information and Communication (IW-STEIC2012), 2012年, ［査読有り］
A Practical Design and Implementation of Active Information Resource based Network Management System
Kazuto Sasai; Johan Sveholm; Gen Kitagata; Tetsuo Kinoshita
International Journal of Energy, Information and Communications (IJEIC), 2011年, ［査読有り］
Agent-based Access Rights Delegation utilizing Social Relationships
Gen Kitagata; Kazuto Sasai; Johan Sveholm; Norio Shiratori; Tetsuo Kinoshita, 筆頭著者
International Journal of Energy, Information and Communications (IJEIC), 2011年, ［査読有り］
Complementary Interaction between Human-oriented Knowledge and Machine-oriented Information on AIR-NMS
Kazuto Sasai; Gen Kitagata; Tetsuo Kinoshita, 筆頭著者
Proc. of The 2nd International Conference on Morphological Computation (ICMC2011), 2011年, ［査読有り］
自律分散環境におけるエージェントのロバストな環境認識機能
笹井 一人; 長田 俊明; 北形 元; 木下 哲男
Proc. of Joint Agent Workshops and Symposium 2009 (JAWS2009), 2009年10月, ［査読有り］
エージェントを用いた非同期型コミュニケーションの支援システム
岡野 光祐; 酒徳 哲; 笹井 一人; 北形 元; 木下 哲男
Proc. of Joint Agent Workshops and Symposium 2009 (JAWS2009), 2009年10月, ［査読有り］
