The unique contribution of this book is to draw attention to the possibilities resulting from conducting transdisciplinary research and drawing on the rich achievements in the field of research development on knowledge-based systems that can be used to holistically support the processes of planning, evaluation and project management.
The unique contribution of this book is to draw attention to the possibilities resulting from conducting transdisciplinary research and drawing on the rich achievements in the field of research development on knowledge-based systems that can be used to holistically support the processes of planning, evaluation and project management.
Tadeusz A. Grzeszczyk is Associate Professor in the Faculty of Management at Warsaw University of Technology, Poland. He engages in scientific and didactic activities focused on scientific research methodologies, encompassing qualitative, quantitative, and mixed methods approaches in the realms of management, social and economic sciences, and evaluation research. His scientific interests span methodological assistance for project and program evaluations, AI decision-support methods, and knowledge-based systems. He has written over a hundred papers and contributed to several books. Additionally, he is a reviewer for numerous journals indexed in the Web of Science or Scopus databases, and evaluates a number of national and international project proposals. His involvement extends to being a member of various national and international scientific societies, editorial boards, and advisory committees.
Inhaltsangabe
1 Introduction 2 AI in Business 2.1 The Essence and Potential of Artificial Intelligence 2.2 Machine Learning and Neural Networks 2.3 Generative AI in Organizations 2.4 Rough Set Models 2.5 Knowledge-Based Systems 3 Selected AI Applications in Project Management 3.1 Data-Driven Project Management 3.2 Generative AI in Modern Project Management 3.3 Learning Models for Project Evaluation 3.4 Applications of Rule-Based Systems 3.5 Methodological Approaches for Multicriteria Knowledge-Based Project Analysis 4 AI-Driven Knowledge-Based Evaluation 4.1 Preliminary Comments about Evaluation System Modeling 4.2 Integrated Approach 4.3 Knowledge Discovery Through Learning 4.4 Combining Rule-Based Systems and Generative AI 4.5 Building and Assessing AI-Powered Knowledge Base 4.6 Using Knowledge-Based Evaluation Systems 5 Conclusions
1 Introduction
2 AI in Business
2.1 The Essence and Potential of Artificial Intelligence
2.2 Machine Learning and Neural Networks
2.3 Generative AI in Organizations
2.4 Rough Set Models
2.5 Knowledge-Based Systems
3 Selected AI Applications in Project Management
3.1 Data-Driven Project Management
3.2 Generative AI in Modern Project Management
3.3 Learning Models for Project Evaluation
3.4 Applications of Rule-Based Systems
3.5 Methodological Approaches for Multicriteria Knowledge-Based Project Analysis
4 AI-Driven Knowledge-Based Evaluation
4.1 Preliminary Comments about Evaluation System Modeling
4.2 Integrated Approach
4.3 Knowledge Discovery Through Learning
4.4 Combining Rule-Based Systems and Generative AI
4.5 Building and Assessing AI-Powered Knowledge Base
1 Introduction 2 AI in Business 2.1 The Essence and Potential of Artificial Intelligence 2.2 Machine Learning and Neural Networks 2.3 Generative AI in Organizations 2.4 Rough Set Models 2.5 Knowledge-Based Systems 3 Selected AI Applications in Project Management 3.1 Data-Driven Project Management 3.2 Generative AI in Modern Project Management 3.3 Learning Models for Project Evaluation 3.4 Applications of Rule-Based Systems 3.5 Methodological Approaches for Multicriteria Knowledge-Based Project Analysis 4 AI-Driven Knowledge-Based Evaluation 4.1 Preliminary Comments about Evaluation System Modeling 4.2 Integrated Approach 4.3 Knowledge Discovery Through Learning 4.4 Combining Rule-Based Systems and Generative AI 4.5 Building and Assessing AI-Powered Knowledge Base 4.6 Using Knowledge-Based Evaluation Systems 5 Conclusions
1 Introduction
2 AI in Business
2.1 The Essence and Potential of Artificial Intelligence
2.2 Machine Learning and Neural Networks
2.3 Generative AI in Organizations
2.4 Rough Set Models
2.5 Knowledge-Based Systems
3 Selected AI Applications in Project Management
3.1 Data-Driven Project Management
3.2 Generative AI in Modern Project Management
3.3 Learning Models for Project Evaluation
3.4 Applications of Rule-Based Systems
3.5 Methodological Approaches for Multicriteria Knowledge-Based Project Analysis
4 AI-Driven Knowledge-Based Evaluation
4.1 Preliminary Comments about Evaluation System Modeling
4.2 Integrated Approach
4.3 Knowledge Discovery Through Learning
4.4 Combining Rule-Based Systems and Generative AI
4.5 Building and Assessing AI-Powered Knowledge Base
4.6 Using Knowledge-Based Evaluation Systems
5 Conclusions
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