Tokuro Matsuo

Bio: Tokuro Matsuo is an academic researcher from Advanced Institute of Industrial Technology. The author has contributed to research in topics: Common value auction & The Internet. The author has an hindex of 10, co-authored 161 publications receiving 446 citations. Previous affiliations of Tokuro Matsuo include Yamagata University & Nagoya Institute of Technology.

New Trends in Agent-Based Complex Automated Negotiations

Abstract: Complex Automated Negotiations represent an important, emerging area in the field of Autonomous Agents and Multi-Agent Systems. Automated negotiations can be complex, since there are a lot of factors that characterize such negotiations. These factors include the number of issues, dependencies between these issues, representation of utilities, the negotiation protocol, the number of parties in the negotiation (bilateral or multi-party), time constraints, etc. Software agents can support automation or simulation of such complex negotiations on the behalf of their owners, and can provide them with efficient bargaining strategies. To realize such a complex automated negotiation, we have to incorporate advanced Artificial Intelligence technologies includes search, CSP, graphical utility models, Bayes nets, auctions, utility graphs, predicting and learning methods. Applications could include e-commerce tools, decision-making support tools, negotiation support tools, collaboration tools, etc. This book aims to provide a description of the new trends in Agent-based, Complex Automated Negotiation, based on the papers from leading researchers. Moreover, it gives an overview of the latest scientific efforts in this field, such as the platform and strategies of automated negotiating techniques.

Complex Automated Negotiations: Theories, Models, and Software Competitions

Abstract: Complex Automated Negotiations are a widely studied, emerging area in the field of Autonomous Agents and Multi-Agent Systems. In general, automated negotiations can be complex, since there are a lot of factors that characterize such negotiations. For this book, we solicited papers on all aspects of such complex automated negotiations, which are studied in the field of Autonomous Agents and Multi-Agent Systems. This book includes two parts, which are Part I: Agent-based Complex Automated Negotiations and Part II: Automated Negotiation Agents Competition. Each chapter in Part I is an extended version of ACAN 2011 papers after peer reviews by three PC members. Part II includes ANAC 2011 (The Second Automated Negotiating Agents Competition), in which automated agents who have different negotiation strategies and implemented by different developers are automatically negotiate in the several negotiation domains. ANAC is an international competition in which automated negotiation strategies, submitted by a number of universities and research institutes across the world, are evaluated in a tournament style. The purpose of the competition is to steer the research in the area of bilateral multi-issue, closed negotiation. This book includes rules, results, agents and domains descriptions for ANAC2011 submitted by organizers and finalists.

A Survey of the State-of-the-Art Models in Neural Abstractive Text Summarization

Abstract: Dealing with vast amounts of textual data requires the use of efficient systems. Automatic summarization systems are capable of addressing this issue. Therefore, it becomes highly essential to work on the design of existing automatic summarization systems and innovate them to make them capable of meeting the demands of continuously increasing data, based on user needs. This study tends to survey the scientific literature to obtain information and knowledge about the recent research in automatic text summarization specifically abstractive summarization based on neural networks. A review of various neural networks based abstractive summarization models have been presented. The proposed conceptual framework includes five key elements identified as encoder-decoder architecture, mechanisms, training strategies and optimization algorithms, dataset, and evaluation metric. A description of these elements is also included in this article. The purpose of this research is to provide an overall understanding and familiarity with the elements of recent neural networks based abstractive text summarization models with an up-to-date review as well as to render an awareness of the challenges and issues with these systems. Analysis has been performed qualitatively with the help of a concept matrix indicating common trends in the design of recent neural abstractive summarization systems. Models employing a transformer-based encoder-decoder architecture are found to be the new state-of-the-art. Based on the knowledge acquired from the survey, this article suggests the use of pre-trained language models in complement with neural network architecture for abstractive summarization task.

A buyers integration support system in group buying

Abstract: In electronic marketplaces, group buyings are seen as an effective form of electronic commerce and a promising field for applying agent technologies. We study decision support systems for buyers in group buying. In group buying, when buyers cooperate with each other, a seller can discount the price of a good. In many existing group buying sites, some sellers deal in the same sort goods or their imitations. Buyers form coalitions for each item on sale. Buyers cannot always purchase goods at a lower price, because buyers' sub-groups are distributed. Buyers need to search hard to find the goods they can purchase. In this paper, we propose a group buying marketplace on the Internet. In our marketplace, buyers can purchase goods at a lower price by forming coalitions. Our system can provide a service that buyers are integrated based on buyers' multi-attribute preferences (utilities). Our system supports buyers' decision making by using the analytic hierarchy process. We propose three methods for group integration. First, buyers trades on simple group buying. Second, all buyers are integrated. Third, some buyers are integrated. Advantages of our market can be described that buyers' multi-attribute utilities are reflected effectively in group integration and buyers can purchase goods at a lower price. Buyers' payments are decided based on their degree of compromise. A successful seller can sell goods in their stock.

Innovations in Agent-Based Complex Automated Negotiations

Abstract: When writing can change your life, when writing can enrich you by offering much money, why don't you try it? Are you still very confused of where getting the ideas? Do you still have no idea with what you are going to write? Now, you will need reading. A good writer is a good reader at once. You can define how you write depending on what books to read. This innovations in agent based complex automated negotiations can help you to solve the problem. It can be one of the right sources to develop your writing skill.

Out of the Crisis

Abstract: According to W. Edwards Deming, American companies require nothing less than a transformation of management style and of governmental relations with industry. In Out of the Crisis, originally published in 1982, Deming offers a theory of management based on his famous 14 Points for Management. Management's failure to plan for the future, he claims, brings about loss of market, which brings about loss of jobs. Management must be judged not only by the quarterly dividend, but by innovative plans to stay in business, protect investment, ensure future dividends, and provide more jobs through improved product and service. In simple, direct language, he explains the principles of management transformation and how to apply them.

Experience or education

Abstract: My work includes writing cryptographic specifications for Thales products , providing assistance to development teams, technology watch, writing scientific reports to external clients, and operational software development. The title of my thesis was \" Gaussian Sampling in Lattice-Based Cryptography \" , and I was directed by Vadim Lyubashevsky (ÉNS) and Sylvain Lachartre (Thales). I used algorithmic, statistical and algebraic tools to make lattice-based cryptography more practical and also worked on efficient implementations of it. I developped and qualified a cryptographic library, directed by Sylvain Lachartre and Olivier Orcière. I worked on improving the polynomial selection for the NFS sieve, directed by Paul Zimmermann. My work was integrated in the CADO-NFS project and led to the publication of a research article. I studied elliptic curves and their applications in cryptography, directed by Marc Hindry.

Collaborative cursors in a hosted word processor

Abstract: A computer-implemented collaborative editing method includes receiving input from a user of a browser-based document editing application on a document displayed by the application; identifying a current location in the document for a cursor of a first user executing the application; receiving from a central server system data that reflects changes made to the document by one or more users other than the first user and current positions in the document of cursors for the one or more other user; updating a document model stored on a computing device that is executing the browser-based application and rendering at least a portion of the model to the browser; and rendering the current positions of the cursors for the one or more other users to the browser.