KNOWLEDGE SCIENCES AND NANATSUDAKI： A NEW MODEL OF KNOWLEDGE CREATION PROCESSES

The paper starts from a discussion of the concepts of knowledge management versus technology management, and the emergence of knowledge sciences. This is followed be a summary of recent results in the theory of knowledge creation. Most of them concern diverse spirals of creative interplay between rational （explicit） and intuitive or emotional （tacit） aspects of knowledge. Some of them concentrate on organizational （market or purpose-oriented） knowledge creation, other describe academic （research-oriented） knowledge creation. The problem addressed in this paper is how to integrate diverse spirals of knowledge creation into a prescriptive or exemplar model that would help to overcome the differences between organizational （market-oriented） and normal academic knowledge creation. As such prescriptive approach, the JAIST Nanatsudaki Model of knowledge creation is proposed. It consists of seven spirals, known from other studies, but integrated in a sequence resulting from the experience of authors in practical management of research activities. Not all of these spirals have to be fully utilized, depending on a particular application, but all of them relate to some essential aspects of either academic or organizational knowledge creation. The paper presents Nanatsudaki Model in detail with comments on consecutive spirals. The results of a survey of opinions about creativity conditions at JAIST indicate the importance of many spirals constituting the Nanatsudaki Model. Directions of further testing the Nanatsudaki Model are indicated.

THE IMPORTANCE OF MULTIMEDIA PRINCIPLE AND EMERGENCE PRINCIPLE FOR THE KNOWLEDGE CIVILISATION AGE

The paper discusses two basic principles derived from results of studies concerning foundations of micro-theories of knowledge creation; these are Multimedia Principle and Emergence Principle. Their epistemic, systemic and metaphysical importance is discussed, together with their relations to the episteme of technology treated as a separate cultural sphere. A spiral of evolutionary knowledge creation is presented, in which an extended Falsification Principle plays the role of an objectifying feedback; this spiral is related to an episteme of Evolutionary Constructive Objectivism proposed earlier for the coming knowledge civilisation age.

KNOWLEDGE-SCIENTIFIC EVALUATION OF COMMUNITY SERVICE SYSTEMS

This paper proposes a knowledge-scientific approach to evaluation of community service systems from the viewpoints of knowledge creation, consciousness reform, and value co-creation. A concrete example of the commtmity service system treated here is an education program for old men to find their reason for living after the retirement. After introducing this program and the traditional evaluation methods for such a program, the paper emphasizes the necessity of developing new evaluation methods for such a community service system based on knowledge science. The paper proposes a new evaluation framework and reports an actual evaluation result using the interview data from participants in that program.

MODELING THE KNOWLEDGE CREATION PROCESS OF GRADUATE RESEARCH

Graduate students who are beginning academic research want to learn how to create and verify new knowledge in their research. Their supervisors, on the other hand, are seeking appropriate research environments including effective research guidance methods. In order to meet these demands, this paper proposes a knowledge creation model that supports the objectives of both graduate students and their supervisors. This is an academic knowledge creation model for individuals supported by a group and its origin can be traced back to a famous organizational knowledge creation model. Since this type of model is constructed from empirical knowledge, it is not easy to prove its objective significance. But, this paper tries to show the effectiveness of the proposed model as an initial stage of model validation based on a questionnaire survey of students in a graduate school in China.

TOWARD COLLECTIVE INTELLIGENCE OF ONLINE COMMUNITIES:A PRIMITIVE CONCEPTUAL MODEL

Inspired by the ideas of Swarm Intelligence and the ＂global brain＂, a concept of ＂community intelligence＂ is suggested in the present paper, reflecting that some ＂intelligent＂ features may emerge in a Web-mediated online community from interactions and knowledge-transmissions between the community members. This possible research field of community intelligence is then examined under the backgrounds of ＂community＂ and ＂intelligence＂ researches. Furthermore, a conceptual model of community intelligence is developed from two views. From the structural view, the community intelligent system is modeled as a knowledge supernetwork that is comprised of triple interwoven networks of the media network, the human network, and the knowledge network. Furthermore, based on a dyad of knowledge in two forms of ＂knowing＂ and ＂knoware＂, the dynamic view describes the basic mechanics of the formation and evolution of ＂community intelligence＂. A few relevant research issues are shortly discussed on the basis of the proposed conceptual model.

SYSTEMS METHODOLOGY AND MATHEMATICAL MODELS FOR KNOWLEDGE MANAGEMENT

This paper first introduces a new discipline knowledge science and the role of systems science in its development. Then, after the discussion on current trend in systems science, the paper proposes a new systems methodology for knowledge management and creation. Finally, the paper discusses mathematical modeling techniques to represent and manage human knowledge that is essentially vague and context-dependent.

AN ENSEMBLE MODEL OF ARIMA AND ANN WITH RESTRICTED BOLTZMANN MACHINE BASED ON DECOMPOSITION OF DISCRETE WAVELET TRANSFORM FOR TIME SERIES FORECASTING

Time series forecasting research area mainly focuses on developing effective forecasting models toimprove prediction accuracy. An ensemble model composed of autoregressive integrated movingaverage （ARIMA）, artificial neural network （ANN）, restricted Boltzmann machines （RBM）, anddiscrete wavelet transform （DWT） is presented in this paper. In the proposed model, DWT firstdecomposes time series into approximation and detail. Then Khashei and Bijari＇s model, which is anensemble model of ARIMA and ANN, is applied to the approximation and detail to extract their bothlinear and nonlinear components and fit the relationship between the components as a function insteadof additive relationship. Furthermore, RBM is used to perform pre-training for generating initialweights and biases based on inputs feature for ANN. Finally, the forecasted approximation and detailare combined to obtain final forecasting. The forecasting capability of the proposed model is testedwith three well-known time series： sunspot, Canadian lynx, exchange rate time series. The predictionperformance is compared to the other six forecasting models. The results indicate that the proposedmodel gives the best performance in all three data sets and all three measures （i.e. MSE, MAE andMAPE）.

CONSTRUCTING AN ACCESS SYSTEM FOR UNBANKED IN MYANMAR TO A MICROFINANCE INSTITUTION

In Myanmar, the formal financial institution does not provide uncollateralized credits. The rural unbanked under the poverty line is depending on the informal money-lenders with high interest rate. Private Agency Collaboration Together is only one microfinance institution providing the credits without collateral and with low interest rate to the unbanked in Myanmar. Half of the unbanked are unable to borrow the loans from the microfinance institution because of the weakness of the information contribution and the strict legal policies of the microfinance institution. Therefore, the objective of this study is to construct a system to improve the relationship between the microfinance institution and the unbanked by reducing the obstacles in the current system ofmicrofinance institution. The legal policy is studied from the vision of the local unbanked as the originality of this research and the /-System methodology is applied to accomplish the research. The current system comprises the information contribution, loans and legal policies. The current system is only one relationship between the microfinance institution and unbanked. When the ten obstacles occurred in the current system, the unbanked cannot approach to the microfinance institution. An access system including four sub-systems is developed depending on the collected ideas to solve these obstacles and intend to improve the relationship between microfinance institution and the unbanked.

KNOWLEDGE SYNTHESIS IN TECHNOLOGY DEVELOPMENT

This paper introduces a knowledge construction model called the i-System for knowledge integration and creation and its relation to the new concept of the Creative Space. The five ontological elements of the i-System are Intelligence, Involvement, Imagination, Intervention, and Integration corresponding to five diverse dimensions of the Creative Space. The paper discusses the meanings and functions of these dimensions in knowledge integration and creation, and presents applications of the i-System to technology roadmapping and archiving.

A clustering based method to complete frame of discernment

When the existing information does not contain all categories,the Generalized Evidence Theory(GET)can deal with information fusion.However,the question of how to determine the number of categories through GET is still intriguing.To address this question,a modified k-means clustering,named centers initialized clustering is proposed,filling the gap of identification and complement of the frame of discernment.Based on this clustering method,the number of cat-egories is determined.The initialized centers selected by center density keep the cluster results con-stant,enhancing the stability of clustering results.Besides,constructing Generalized basic Probability Assignment(GBPA)modules in a conservative way improves the reliability of the results.The mass of empty set in combined GBPAs is the indicator of the number of categories.Experiments on real and artificial data sets are conducted to show the effectiveness.

DESIGN OF A SOFTWARE AGENT FOR BUSINESS GAMING SIMULATION

This paper introduces a software agent as a virtual player of the business game called Bakery Game. The business game is a tool to understand business and management principles through experience in a virtual world. In order to construct software agents for the gaming simulation, which is able to participate in a game and become human players' worthy rival, we combine a simple model that considers the property of Bakery Game with a strategy adjustment model. The agent has so-called strategy parameters that are updated through the experience. The agent changes his strategy depending on particular situation. The agent participates in the game that is regenerated from log data in various situations.

Hierarchical Hypergames and Bayesian Games:A Generalization of the Theoretical Comparison of Hypergames and Bayesian Games Considering Hierarchy of Perceptions

This paper discusses the relationship of two independently developed models of games with incomplete information,hierarchical hypergames and Bayesian games.It can be considered as a generalization of the previous study on the theoretical comparison of simple hypergames and Bayesian games(Sasaki and Kijima,2012) by taking into account hierarchy of perceptions,i.e.,an agent's perception about the other agents' perceptions,and so on.The authors first introduce the general way of transformation of any hierarchical hypergames into corresponding Bayesian games,which was called as the Bayesian representation of hierarchical hypergames.The authors then show that some equilibrium concepts for hierarchical hypergames can be associated with those for Bayesian games and discuss implications of the results.

ESTABLISH A CREATIVE ENVIRONMENT FOR ROADMAPPING IN ACADEMY—FROM THE PERSPECTIVE OF I-SYSTEM METHODOLOGY

Roadmapping, originated from industry as a strategic planning tool, is attracting increasing applications in academy. Based on the recognition that roadmapping is a knowledge creation process, this paper analyzes what kind of support is needed or helpful for establishing a creative environment for roadmapping in academy and reviews various types of such support from the perspective of i-system methodology. As case studies of such support, this paper further introduces roadmapping pratices in Janpan Advanced Institute of Science and Technology.

AGENT MODEL ANALYSIS TO EXPLORE EFFECTS OF INTERACTION AND ENVIRONMENT ON INDIVIDUAL PERFORMANCE

This paper tries to find interaction rules between members and self-reform rules of members in some scientific research laboratories at a graduate school. The candidate of rules are extracted from the personality description sentences about factors： extroversion, agreeableness, conscientiousness, neuroticism and openness in the big five theory of personality psychology. In this paper, interaction and self-reform rules are not described by personalities themselves; instead, they are described by corresponding phenomena： activity, empathy, persistence, autonomy, and analytical ability which appear in the behavior side. Each member＇s initial value is determined from the main 5-factor personality investigation to the member, and the target value is given by the member＇s self-declaration. The rule selection is carried out by the genetic algorithm, where a sigmoid function is introduced in the renewal algorithm of the value, whereby a difficulty of setting the renewal parameters is avoided. An analysis is added about the obtained rules, and the validity of this approach and the subjects for future study are discussed. Finally, consideration is extended to the effect of environment on the behavior of members to reinforce the set of rules.

KNOWLEDGE RECONSTRUCTION AND JUSTIFICATION FOR REGIONAL VITALIZATION

This paper considers the regional vitalization problem and discusses the methodology to create regional vitalization plans, which include activating the local economy, enriching people＇s lives, and activating the feelings of people, by new initiatives. Activily underlying the methodology is the experience of implementing several actual projects with the local residents, and theory underlying the methodology is the knowledge construction and justification theory based on knowledge management and systems thinking. Introducing an actual vitalization project as an illustrative example, the paper proposes a knowledge reconstruction and justification procedure for regional vitalization.

KNOWLEDGE PROCESS ANALYSIS:FRAMEWORK AND EXPERIENCE

We present a step-by-step approach for constructing a framework for knowledge process analysis （KPA）. We intend to apply this framework to the analysis of own research projects in an exploratory way and elaborate it through the accumulation of case studies. This study is based on a methodology consisting of knowledge process modeling, primitives synthesis, and reflective verification. We describe details of the methodology and present the results of case studies： a novel methodology, a practical work guide, and a tool for KPA; insights for improving future research projects and education; and the integration of existing knowledge creation theories.

Integrating Machine Learning and Evidential Reasoning for User Profiling and Recommendation

User profiles representing users’preferences and interests play an important role in many applications of personalized recommendation.With the rapid growth of social platforms,there is a critical need for efficient solutions to learn user profiles from the information they shared on social platforms so as to improve the quality of recommendation services.The problem of user profile learning is significantly challenging due to difficulty in handling data from multiple sources,in different formats and often associated with uncertainty.In this paper,we introduce an integrated approach that combines advanced Machine Learning techniques with evidential reasoning based on Dempster-Shafer theory of evidence for user profiling and recommendation.The developed methods for user profile learning and multi-criteria collaborative filtering are demonstrated with experimental results and analysis that show the effectiveness and practicality of the integrated approach.A proposal for extending multi-criteria recommendation systems by incorporating user profiles learned from different sources of data into the recommendation process so as to provide better recommendation capabilities is also highlighted.

ELECTRONIC SUPPORT FOR KNOWLEDGE CREATION IN A RESEARCH INSTITUTE

This paper focuses on the question how to build an electronic support environment for knowledge creation in a research institute （JAIST）. In order to assess the importance of diverse conditions of scientific creativity, we performed a survey in JAIST, and extracted useful knowledge from the database of survey results. Following the analysis of the theory of academic processes of knowledge creation and the survey findings in JAIST, a computer-based integrated system is proposed. In the aspect of the system design, we postulate that an electronic support environment for academic creativity can be achieved through a seamless integration with Internet, Application Server, Middle Ware, Database and Data Warehouse. The paper addresses issues of knowledge representation in the Electronic Support System for academic research, testing and evaluation issues and conclusions.

Workshop design for enhancing the appropriateness of idea generation using analogical thinking

As technologies advance and replace human labor in a variety of settings,we focus our attention on human creativity for generating new ideas.Business organizations,more than ever,recognize that they need employees who think creatively to maintain their competitive edge.Nonetheless,there is a lack of research assessing new ideas and influential factors in generating innovative ideas.The aim of this study is to identify the factors that influence the creation of innovative ideas.We conducted two different types of workshops with 22 subjects and 23 subjects each.In the first workshop,subjects were asked to generate new business ideas through analogical thinking.As a result,half of the participants generated appropriate ideas,and three influential factors were determined:categorization skill,deliberation,and trial and error.The second workshop was designed to facilitate participants to enhance these three factors.As a result,70%of the participants could generate appropriate ideas.By identifying influential factors,this paper suggests a procedure for designing an innovationworkshop that enables the creation of appropriate ideas.

互联网上的投资组合选择

讨论基于Internet(Browser/WebServer方式)的投资组合选择系统.首先简要地介绍了Markowitz投资组合理论以及互联网上构建投资组合的意义,接着分析构建投资组合的几种基于Browser/WebServer的系统和给出网上投资组合系统的一个应用实例,最后提出在互联网上构建投资组合值得关注的几个问题.