{"title":"Andrzej P Wierzbicki","description":null,"products":[{"product_id":"creative-space-book-andrzej-p-wierzbicki-9783540284581","title":"Creative Space","description":"Creative Space summarizes and integrates the various up-to-date approaches of computational intelligence to knowledge and technology creation including the specific novel feature of utilizing the creative abilities of the human mind, such as tacit knowledge, emotions and instincts, and intuition. It analyzes several important approaches of this new paradigm such as the Shinayakana Systems Approach, the organizational knowledge creation theory, in particular SECI Spiral, and the Rational Theory of Intuition – resulting in the concept of Creative Space. This monograph presents and analyzes in detail this new concept together with its ontology – the list and meanings of the analyzed nodes of this space and of the character of transitions linking these nodes.","brand":"WoB","offers":[{"title":"US \/ WELL_READ \/ SBYB","offer_id":50381038289169,"sku":"CIN1559341300A","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ GOOD \/ SBYB","offer_id":50389881717009,"sku":"CIN1559341300G","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ INGRAM","offer_id":52401959436561,"sku":"NLS9783540284581","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1559341300.jpg?v=1751127226"},{"product_id":"creative-environments-book-andrzej-p-wierzbicki-9783642090691","title":"Creative Environments","description":"\"Creative Environments\" is a follow-up on the book Creative Space in the same series and by the same authors, serving this time as editors of a broader book on computational intelligence and knowledge engineering tools for supporting knowledge creation. This book contains four parts. The first part presents a further development of models of knowledge creation presented already in Creative Space, in particular the Triple Helix of normal academic knowledge creation and a new, integrated model of normal academic and organizational knowledge creation, called Nanatsudaki (seven waterfalls) Model. The second part presents computational intelligence tools for knowledge acquisition by machine learning and data mining, for debating, brainstorming, for roadmapping and for integrated support of academic creativity. The third part presents the use of statistics for creativity support, virtual laboratories, gaming and role playing for creativity support, methods of knowledge representation and multiple criteria aggregation, distance and electronic learning. The last part addresses knowledge management and philosophical issues and contains chapters: on management of technology and knowledge management for academic R and D; on knowledge management and creative holism or systems thinking in the knowledge age; on technology and change or the role of technology in knowledge civilisation; on the emergence of complex concepts in science; and the final chapter on summary and conclusions, including a proposal of an integrated episteme of constructive evolutionary objectivism, necessary for the knowledge civilization age.","brand":"WoB","offers":[{"title":"- \/ - \/ INTERNAL","offer_id":52332735987985,"sku":null,"price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ INGRAM","offer_id":52332736807185,"sku":"NLS9783642090691","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9783642090691.jpg?v=1758152545"},{"product_id":"creative-space-book-andrzej-p-wierzbicki-9783642066702","title":"Creative Space","description":"Creative Space summarizes and integrates the various up-to-date approaches of computational intelligence to knowledge and technology creation including the specific novel feature of utilizing the creative abilities of the human mind, such as tacit knowledge, emotions and instincts, and intuition.","brand":"WoB","offers":[{"title":"- \/ - \/ INTERNAL","offer_id":52425251553553,"sku":null,"price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ INGRAM","offer_id":52425252241681,"sku":"NLS9783642066702","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9783642066702.jpg?v=1759154293"},{"product_id":"model-based-decision-support-methodology-with-environmental-applications-book-andrzej-p-wierzbicki-9780792363279","title":"Model-Based Decision Support Methodology with Environmental Applications","description":"The complexity of issues requiring rational decision making  grows and thus such decisions are becoming more and more difficult,  despite advances in methodology and tools for decision support and in  other areas of research. Globalization, interlinks between  environmental, industrial, social and political issues, and rapid  speed of change all contribute to the increase of this complexity.  Specialized knowledge about decision-making processes and their  support is increasing, but a large spectrum of approaches presented in  the literature is typically illustrated only by simple examples.  Moreover, the integration of model-based decision support  methodologies and tools with specialized model-based knowledge  developed for handling real problems in environmental, engineering,  industrial, economical, social and political activities is often not  satisfactory.   Therefore, there is a need to present the state of art of methodology  and tools for development of model-based decision support systems, and  illustrate this state by applications to various complex real-world  decision problems.   The monograph reports many years of experience of many researchers,  who have not only contributed to the developments in operations  research but also succeeded to integrate knowledge and craft of  various disciplines into several modern decision support systems which  have been applied to actual complex decision-making processes in  various fields of policy making. The experience presented in this book  will be of value to researchers and practitioners in various fields.  The issues discussed in this book gain in importance with the  development of the new era of the information society, where  information, knowledge, and ways of processing them become a decisive  part of human activities. The examples presented in this book  illustrate how how various methods and tools of model-based decision  support can actually be used for helping modern decision makers that  facecomplex problems.    Overview of the contents: The first part of this three-part book  presents the methodological background and characteristics of modern  decision-making environment, and the value of model-based decision  support thus addressing current challenges of decision support. It  also provides the methodology of building and analyzing mathematical  models that represent underlying physical and economic processes, and  that are useful for modern decision makers at various stages of  decision making. These methods support not only the analysis of  Pareto-efficient solutions that correspond best to decision maker  preferences but also allow the use of other modeling concepts like  soft constraints, soft simulation, or inverse simulation.   The second part describes various types of tools that are used for the  development of decision support systems. These include tools for  modeling, simulation, optimization, tools supporting choice and user  interfaces. The described tools are both standard, commercially  available, and nonstandard, public domain or shareware software, which  are robust enough to be used also for complex applications.   All four environmental applications (regional water quality  management, land use planning, cost-effective policies aimed at  improving the European air quality, energy planning with environmental  implications) presented in the third part of the book rely on many  years of cooperation between the authors of the book with several  IIASA's projects, and with many researchers from the wide IIASA  network of collaborating institutions. All these applications are  characterized by an intensive use of model-based decision support.   Finally, the appendix contains a short description of some of the  tools described in the book that are available from IIASA, free of  charge, for research and educational purposes.    The experiences reported in this book indicate that the development of  DSSs for strategic environmental decision making should be a joint  effort involving experts in the subject area, modelers, and decision  support experts. For the other experiences discussed in this book, the  authors stress the importance of good data bases, and good libraries  of tools. One of the most important requirements is a modular  structure of a DSS that enhances the reusability of system modules. In  such modular structures, user interfaces play an important role.    The book shows how modern achievements in mathematical programming and  computer sciences may be exploited for supporting decision making,  especially about strategic environmental problems. It presents the  methodological background of various methods for model-based decision  support and reviews methods and tools for model development and  analysis. The methods and tools are amply illustrated with extensive  applications.   Audience: This book will be of interest to researchers and  practitioners in the fields of model development and analysis,  model-based decision analysis and support, (particularly in the  environment, economics, agriculture, engineering, and negotiations  areas) and mathematical programming. For understanding of some parts  of the text a background in mathematics and operational research is  required but several chapters of the book will be of value also for  readers without such a background.    The monograph is also suitable for use as a text book for courses on  advanced (Master and Ph.D.) levels for programs on Operations  Research, decision analysis, decision support and various  environmental studies (depending on the program different parts of the  book may be emphasized).","brand":"WoB","offers":[{"title":"- \/ - \/ INTERNAL","offer_id":52429536198929,"sku":null,"price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ INGRAM","offer_id":52429536821521,"sku":"NLS9780792363279","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9780792363279.jpg?v=1759167162"},{"product_id":"model-based-decision-support-methodology-with-environmental-applications-book-andrzej-p-wierzbicki-9789048154647","title":"Model-Based Decision Support Methodology with Environmental Applications","description":"The complexity of issues requiring rational decision making  grows and thus such decisions are becoming more and more difficult,  despite advances in methodology and tools for decision support and in  other areas of research. Globalization, interlinks between  environmental, industrial, social and political issues, and rapid  speed of change all contribute to the increase of this complexity.  Specialized knowledge about decision-making processes and their  support is increasing, but a large spectrum of approaches presented in  the literature is typically illustrated only by simple examples.  Moreover, the integration of model-based decision support  methodologies and tools with specialized model-based knowledge  developed for handling real problems in environmental, engineering,  industrial, economical, social and political activities is often not  satisfactory.   Therefore, there is a need to present the state of art of methodology  and tools for development of model-based decision support systems, and  illustrate this state by applications to various complex real-world  decision problems.   The monograph reports many years of experience of many researchers,  who have not only contributed to the developments in operations  research but also succeeded to integrate knowledge and craft of  various disciplines into several modern decision support systems which  have been applied to actual complex decision-making processes in  various fields of policy making. The experience presented in this book  will be of value to researchers and practitioners in various fields.  The issues discussed in this book gain in importance with the  development of the new era of the information society, where  information, knowledge, and ways of processing them become a decisive  part of human activities. The examples presented in this book  illustrate how how various methods and tools of model-based decision  support can actually be used for helping modern decision makers that  facecomplex problems.    Overview of the contents: The first part of this three-part book  presents the methodological background and characteristics of modern  decision-making environment, and the value of model-based decision  support thus addressing current challenges of decision support. It  also provides the methodology of building and analyzing mathematical  models that represent underlying physical and economic processes, and  that are useful for modern decision makers at various stages of  decision making. These methods support not only the analysis of  Pareto-efficient solutions that correspond best to decision maker  preferences but also allow the use of other modeling concepts like  soft constraints, soft simulation, or inverse simulation.   The second part describes various types of tools that are used for the  development of decision support systems. These include tools for  modeling, simulation, optimization, tools supporting choice and user  interfaces. The described tools are both standard, commercially  available, and nonstandard, public domain or shareware software, which  are robust enough to be used also for complex applications.   All four environmental applications (regional water quality  management, land use planning, cost-effective policies aimed at  improving the European air quality, energy planning with environmental  implications) presented in the third part of the book rely on many  years of cooperation between the authors of the book with several  IIASA's projects, and with many researchers from the wide IIASA  network of collaborating institutions. All these applications are  characterized by an intensive use of model-based decision support.   Finally, the appendix contains a short description of some of the  tools described in the book that are available from IIASA, free of  charge, for research and educational purposes.    The experiences reported in this book indicate that the development of  DSSs for strategic environmental decision making should be a joint  effort involving experts in the subject area, modelers, and decision  support experts. For the other experiences discussed in this book, the  authors stress the importance of good data bases, and good libraries  of tools. One of the most important requirements is a modular  structure of a DSS that enhances the reusability of system modules. In  such modular structures, user interfaces play an important role.    The book shows how modern achievements in mathematical programming and  computer sciences may be exploited for supporting decision making,  especially about strategic environmental problems. It presents the  methodological background of various methods for model-based decision  support and reviews methods and tools for model development and  analysis. The methods and tools are amply illustrated with extensive  applications.   Audience: This book will be of interest to researchers and  practitioners in the fields of model development and analysis,  model-based decision analysis and support, (particularly in the  environment, economics, agriculture, engineering, and negotiations  areas) and mathematical programming. For understanding of some parts  of the text a background in mathematics and operational research is  required but several chapters of the book will be of value also for  readers without such a background.    The monograph is also suitable for use as a text book for courses on  advanced (Master and Ph.D.) levels for programs on Operations  Research, decision analysis, decision support and various  environmental studies (depending on the program different parts of the  book may be emphasized).","brand":"WoB","offers":[{"title":"- \/ - \/ INTERNAL","offer_id":52474102677777,"sku":null,"price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ INGRAM","offer_id":52474104250641,"sku":"NLS9789048154647","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9789048154647.jpg?v=1759840847"},{"product_id":"creative-environments-book-andrzej-p-wierzbicki-9783540714668","title":"Creative Environments","description":"\"Creative Environments\" is a follow-up on the book Creative Space in the same series and by the same authors, serving this time as editors of a broader book on computational intelligence and knowledge engineering tools for supporting knowledge creation. 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