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Download or read book Artificial Intelligence for Automated Floor Plan Generation written by Davood Chitchian and published by . This book was released on 1997 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author: Imdat As
Publisher: Routledge
Published: 2021-05-06
Total Pages: 632
ISBN-13: 1000372413
DOWNLOAD EBOOKProviding the most comprehensive source available, this book surveys the state of the art in artificial intelligence (AI) as it relates to architecture. This book is organized in four parts: theoretical foundations, tools and techniques, AI in research, and AI in architectural practice. It provides a framework for the issues surrounding AI and offers a variety of perspectives. It contains 24 consistently illustrated contributions examining seminal work on AI from around the world, including the United States, Europe, and Asia. It articulates current theoretical and practical methods, offers critical views on tools and techniques, and suggests future directions for meaningful uses of AI technology. Architects and educators who are concerned with the advent of AI and its ramifications for the design industry will find this book an essential reference.
Download or read book The Routledge Companion to Artificial Intelligence in Architecture written by Imdat As and published by Routledge. This book was released on 2021-05-06 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing the most comprehensive source available, this book surveys the state of the art in artificial intelligence (AI) as it relates to architecture. This book is organized in four parts: theoretical foundations, tools and techniques, AI in research, and AI in architectural practice. It provides a framework for the issues surrounding AI and offers a variety of perspectives. It contains 24 consistently illustrated contributions examining seminal work on AI from around the world, including the United States, Europe, and Asia. It articulates current theoretical and practical methods, offers critical views on tools and techniques, and suggests future directions for meaningful uses of AI technology. Architects and educators who are concerned with the advent of AI and its ramifications for the design industry will find this book an essential reference.
Author: Ibrahim F. Imam
Publisher: Springer
Published: 2004-05-19
Total Pages: 918
ISBN-13: 3540487654
DOWNLOAD EBOOKWe never create anything, We discover and reproduce. The Twelfth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems has a distinguished theme. It is concerned with bridging the gap between the academic and the industrial worlds of Artificial Intelligence (AI) and Expert Systems. The academic world is mainly concerned with discovering new algorithms, approaches, and methodologies; however, the industrial world is mainly driven by profits, and concerned with producing new products or solving customers’ problems. Ten years ago, the artificial intelligence research gap between academia and industry was very broad. Recently, this gap has been narrowed by the emergence of new fields and new joint research strategies in academia. Among the new fields which contributed to the academic-industrial convergence are knowledge representation, machine learning, searching, reasoning, distributed AI, neural networks, data mining, intelligent agents, robotics, pattern recognition, vision, applications of expert systems, and others. It is worth noting that the end results of research in these fields are usually products rather than empirical analyses and theoretical proofs. Applications of such technologies have found great success in many domains including fraud detection, internet service, banking, credit risk and assessment, telecommunication, etc. Progress in these areas has encouraged the leading corporations to institute research funding programs for academic institutes. Others have their own research laboratories, some of which produce state of the art research.
Download or read book Multiple Approaches to Intelligent Systems written by Ibrahim F. Imam and published by Springer. This book was released on 2004-05-19 with total page 918 pages. Available in PDF, EPUB and Kindle. Book excerpt: We never create anything, We discover and reproduce. The Twelfth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems has a distinguished theme. It is concerned with bridging the gap between the academic and the industrial worlds of Artificial Intelligence (AI) and Expert Systems. The academic world is mainly concerned with discovering new algorithms, approaches, and methodologies; however, the industrial world is mainly driven by profits, and concerned with producing new products or solving customers’ problems. Ten years ago, the artificial intelligence research gap between academia and industry was very broad. Recently, this gap has been narrowed by the emergence of new fields and new joint research strategies in academia. Among the new fields which contributed to the academic-industrial convergence are knowledge representation, machine learning, searching, reasoning, distributed AI, neural networks, data mining, intelligent agents, robotics, pattern recognition, vision, applications of expert systems, and others. It is worth noting that the end results of research in these fields are usually products rather than empirical analyses and theoretical proofs. Applications of such technologies have found great success in many domains including fraud detection, internet service, banking, credit risk and assessment, telecommunication, etc. Progress in these areas has encouraged the leading corporations to institute research funding programs for academic institutes. Others have their own research laboratories, some of which produce state of the art research.
Author: Eilif Hjelseth
Publisher: CRC Press
Published: 2023-03-29
Total Pages: 813
ISBN-13: 1000925544
DOWNLOAD EBOOKECPPM 2022 - eWork and eBusiness in Architecture, Engineering and Construction contains the papers presented at the 14th European Conference on Product & Process Modelling (ECPPM 2022, Trondheim, Norway, 14-16 September 2022), and builds on a long-standing history of excellence in product and process modelling in the construction industry, which is currently known as Building Information Modelling (BIM). The following topics and applications are given special attention: Sustainable and Circular Driven Digitalisation: Data Driven Design and/or Decision Support Assessment and Documentation of Sustainability Information lifecycle Data Management: Collection, Processing and Presentation of Environmental Product Documentation (EPD) and Product Data Templates (PDT) Digital Enabled Collaboration: Integrated and Multi-Disciplinary Processes Virtual Design and Construction (VDC): Production Metrics, Integrated Concurrent Engineering, Lean Construction and Information Integration Automation of Processes: Automation of Design and Engineering Processes, Parametric Modelling and Robotic Process Automation Expert Systems: BIM based model and compliance checking Enabling Technologies: Machine Learning, Big Data, Artificial and Augmented Intelligence, Digital Twins, Semantic Technology Sensors and IoT Production with Autonomous Machinery, Robotics and Combinations of Existing and New Technical Solutions Frameworks for Implementation: International Information Management Series (ISO 19650), and Other International Standards (ISO), European (CEN) and National Standards, Digital Platforms and Ecosystems Human Factors in Digital Application: Digital Innovation, Economy of Digitalisation, Client, Organisational, Team and/or Individual Perspectives Over the past 25 years, the biennial ECPPM conference proceedings series has provided researchers and practitioners with a unique platform to present and discuss the latest developments regarding emerging BIM technologies and complementary issues for their adoption in the AEC/FM industry.
Download or read book ECPPM 2022 - eWork and eBusiness in Architecture, Engineering and Construction 2022 written by Eilif Hjelseth and published by CRC Press. This book was released on 2023-03-29 with total page 813 pages. Available in PDF, EPUB and Kindle. Book excerpt: ECPPM 2022 - eWork and eBusiness in Architecture, Engineering and Construction contains the papers presented at the 14th European Conference on Product & Process Modelling (ECPPM 2022, Trondheim, Norway, 14-16 September 2022), and builds on a long-standing history of excellence in product and process modelling in the construction industry, which is currently known as Building Information Modelling (BIM). The following topics and applications are given special attention: Sustainable and Circular Driven Digitalisation: Data Driven Design and/or Decision Support Assessment and Documentation of Sustainability Information lifecycle Data Management: Collection, Processing and Presentation of Environmental Product Documentation (EPD) and Product Data Templates (PDT) Digital Enabled Collaboration: Integrated and Multi-Disciplinary Processes Virtual Design and Construction (VDC): Production Metrics, Integrated Concurrent Engineering, Lean Construction and Information Integration Automation of Processes: Automation of Design and Engineering Processes, Parametric Modelling and Robotic Process Automation Expert Systems: BIM based model and compliance checking Enabling Technologies: Machine Learning, Big Data, Artificial and Augmented Intelligence, Digital Twins, Semantic Technology Sensors and IoT Production with Autonomous Machinery, Robotics and Combinations of Existing and New Technical Solutions Frameworks for Implementation: International Information Management Series (ISO 19650), and Other International Standards (ISO), European (CEN) and National Standards, Digital Platforms and Ecosystems Human Factors in Digital Application: Digital Innovation, Economy of Digitalisation, Client, Organisational, Team and/or Individual Perspectives Over the past 25 years, the biennial ECPPM conference proceedings series has provided researchers and practitioners with a unique platform to present and discuss the latest developments regarding emerging BIM technologies and complementary issues for their adoption in the AEC/FM industry.
Author: Rabindra Nath Shaw
Publisher: Elsevier
Published: 2021-06-19
Total Pages: 180
ISBN-13: 032385799X
DOWNLOAD EBOOKArtificial Intelligence for Future Generation Robotics offers a vision for potential future robotics applications for AI technologies. Each chapter includes theory and mathematics to stimulate novel research directions based on the state-of-the-art in AI and smart robotics. Organized by application into ten chapters, this book offers a practical tool for researchers and engineers looking for new avenues and use-cases that combine AI with smart robotics. As we witness exponential growth in automation and the rapid advancement of underpinning technologies, such as ubiquitous computing, sensing, intelligent data processing, mobile computing and context aware applications, this book is an ideal resource for future innovation. Brings AI and smart robotics into imaginative, technically-informed dialogue Integrates fundamentals with real-world applications Presents potential applications for AI in smart robotics by use-case Gives detailed theory and mathematical calculations for each application Stimulates new thinking and research in applying AI to robotics
Download or read book Artificial Intelligence for Future Generation Robotics written by Rabindra Nath Shaw and published by Elsevier. This book was released on 2021-06-19 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence for Future Generation Robotics offers a vision for potential future robotics applications for AI technologies. Each chapter includes theory and mathematics to stimulate novel research directions based on the state-of-the-art in AI and smart robotics. Organized by application into ten chapters, this book offers a practical tool for researchers and engineers looking for new avenues and use-cases that combine AI with smart robotics. As we witness exponential growth in automation and the rapid advancement of underpinning technologies, such as ubiquitous computing, sensing, intelligent data processing, mobile computing and context aware applications, this book is an ideal resource for future innovation. Brings AI and smart robotics into imaginative, technically-informed dialogue Integrates fundamentals with real-world applications Presents potential applications for AI in smart robotics by use-case Gives detailed theory and mathematical calculations for each application Stimulates new thinking and research in applying AI to robotics
Author: Christian Lance Relleve
Publisher:
Published: 2021
Total Pages: 17
ISBN-13:
DOWNLOAD EBOOKOne challenge of GEOINT is its limitation to exploit and predict interior building layouts, since this field is concentrated upon exterior visual exploitation of buildings. The gap in knowledge is due to GEOINT's lack of multidisciplinary integration of other fields to be introduced to answer key problems. By integrating a multidisciplinary approach of architecture theory and engineering principles, we can create a potentiality of algorithmic creation to predict interior building layouts.
Download or read book AI/ML Floor Plan Predictor, Primer written by Christian Lance Relleve and published by . This book was released on 2021 with total page 17 pages. Available in PDF, EPUB and Kindle. Book excerpt: One challenge of GEOINT is its limitation to exploit and predict interior building layouts, since this field is concentrated upon exterior visual exploitation of buildings. The gap in knowledge is due to GEOINT's lack of multidisciplinary integration of other fields to be introduced to answer key problems. By integrating a multidisciplinary approach of architecture theory and engineering principles, we can create a potentiality of algorithmic creation to predict interior building layouts.
Author: Sneha Suhitha Galiveeti
Publisher:
Published: 2021
Total Pages:
ISBN-13:
DOWNLOAD EBOOKIn the present day, demand for construction of houses is increasing rapidly. But creating and designing a floorplan requires a lot of creativity, technical knowledge and mathematical skills. The number of architects with these skills are not adequate to meet the requirements of the rapidly growing demand. We can use Machine Learning to solve this problem of floorplan generation. This project explores the idea of generation of multiple floorplans using deep learning models especially Generative Adversarial Networks(GANs). This work concentrates on the generation of rasterized of floorplans. The main approach is to let GAN treat floorplans as raster images and learn their distribution to produce new floorplans. This work explored multiple models of GANs like simple DCGAN, LSGAN, WGAN, StyleGAN etc. and studied the pros and cons of each model over two major datasets Structure3D and Graph2Plan. This work also explored the conditional generation of floorplans i.e., controlling the layout of generated floorplans by giving input condition to the models in terms of types of rooms present.
Download or read book Automatic Generation of Floorplans Using Generative Adversarial Networks written by Sneha Suhitha Galiveeti and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In the present day, demand for construction of houses is increasing rapidly. But creating and designing a floorplan requires a lot of creativity, technical knowledge and mathematical skills. The number of architects with these skills are not adequate to meet the requirements of the rapidly growing demand. We can use Machine Learning to solve this problem of floorplan generation. This project explores the idea of generation of multiple floorplans using deep learning models especially Generative Adversarial Networks(GANs). This work concentrates on the generation of rasterized of floorplans. The main approach is to let GAN treat floorplans as raster images and learn their distribution to produce new floorplans. This work explored multiple models of GANs like simple DCGAN, LSGAN, WGAN, StyleGAN etc. and studied the pros and cons of each model over two major datasets Structure3D and Graph2Plan. This work also explored the conditional generation of floorplans i.e., controlling the layout of generated floorplans by giving input condition to the models in terms of types of rooms present.
Author: Michael Bushnell
Publisher: Elsevier
Published: 2012-12-02
Total Pages: 483
ISBN-13: 0323148727
DOWNLOAD EBOOKDesign Automation: Automated Full-Custom VLSI Layout Using the ULYSSES Design Environment deals with the use of the Ulysses design environment for an automated full-custom VLSI layout. Topics covered include VLSI chip design and design process, control mechanisms in Ulysses, and the use of artificial intelligence (AI) in design environments. An example design task is also presented. This book is comprised of 10 chapters and begins with an overview of VLSI computer-aided design (CAD), focusing on an expert system based design environment aimed at solving the CAD tool integration problem. An example CAD tool suite for such an environment is presented. The next chapter describes prior attempts at developing an integrated design environment, followed by a discussion on the computer-aided VLSI design process that motivated the development of the Ulysses design environment. The following chapters explore the use of AI techniques within Ulysses; the fundamental architecture of Ulysses; and the control mechanisms that govern the decision to execute various CAD tools, on particular files, within Ulysses. The implementation of Ulysses is also discussed. The final chapter demonstrates the feasibility of a knowledge-based design environment for VLSI chip design applications; the success of Ulysses at further automating the VLSI design process; and the usability of Ulysses as a VLSI design environment. This monograph will be a valuable resource for systems designers and other practitioners in computer science and computer engineering.
Download or read book Design Automation written by Michael Bushnell and published by Elsevier. This book was released on 2012-12-02 with total page 483 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design Automation: Automated Full-Custom VLSI Layout Using the ULYSSES Design Environment deals with the use of the Ulysses design environment for an automated full-custom VLSI layout. Topics covered include VLSI chip design and design process, control mechanisms in Ulysses, and the use of artificial intelligence (AI) in design environments. An example design task is also presented. This book is comprised of 10 chapters and begins with an overview of VLSI computer-aided design (CAD), focusing on an expert system based design environment aimed at solving the CAD tool integration problem. An example CAD tool suite for such an environment is presented. The next chapter describes prior attempts at developing an integrated design environment, followed by a discussion on the computer-aided VLSI design process that motivated the development of the Ulysses design environment. The following chapters explore the use of AI techniques within Ulysses; the fundamental architecture of Ulysses; and the control mechanisms that govern the decision to execute various CAD tools, on particular files, within Ulysses. The implementation of Ulysses is also discussed. The final chapter demonstrates the feasibility of a knowledge-based design environment for VLSI chip design applications; the success of Ulysses at further automating the VLSI design process; and the usability of Ulysses as a VLSI design environment. This monograph will be a valuable resource for systems designers and other practitioners in computer science and computer engineering.
Download or read book An Approach to Automated Architectural Floor Layout Generation with Case-based Reasoning written by Yoshihiro Ichioka and published by . This book was released on 1991 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author: Patrik Haslum
Publisher: Morgan & Claypool Publishers
Published: 2019-04-02
Total Pages: 189
ISBN-13: 1627057374
DOWNLOAD EBOOKPlanning is the branch of Artificial Intelligence (AI) that seeks to automate reasoning about plans, most importantly the reasoning that goes into formulating a plan to achieve a given goal in a given situation. AI planning is model-based: a planning system takes as input a description (or model) of the initial situation, the actions available to change it, and the goal condition to output a plan composed of those actions that will accomplish the goal when executed from the initial situation. The Planning Domain Definition Language (PDDL) is a formal knowledge representation language designed to express planning models. Developed by the planning research community as a means of facilitating systems comparison, it has become a de-facto standard input language of many planning systems, although it is not the only modelling language for planning. Several variants of PDDL have emerged that capture planning problems of different natures and complexities, with a focus on deterministic problems. The purpose of this book is two-fold. First, we present a unified and current account of PDDL, covering the subsets of PDDL that express discrete, numeric, temporal, and hybrid planning. Second, we want to introduce readers to the art of modelling planning problems in this language, through educational examples that demonstrate how PDDL is used to model realistic planning problems. The book is intended for advanced students and researchers in AI who want to dive into the mechanics of AI planning, as well as those who want to be able to use AI planning systems without an in-depth explanation of the algorithms and implementation techniques they use.
Download or read book An Introduction to the Planning Domain Definition Language written by Patrik Haslum and published by Morgan & Claypool Publishers. This book was released on 2019-04-02 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: Planning is the branch of Artificial Intelligence (AI) that seeks to automate reasoning about plans, most importantly the reasoning that goes into formulating a plan to achieve a given goal in a given situation. AI planning is model-based: a planning system takes as input a description (or model) of the initial situation, the actions available to change it, and the goal condition to output a plan composed of those actions that will accomplish the goal when executed from the initial situation. The Planning Domain Definition Language (PDDL) is a formal knowledge representation language designed to express planning models. Developed by the planning research community as a means of facilitating systems comparison, it has become a de-facto standard input language of many planning systems, although it is not the only modelling language for planning. Several variants of PDDL have emerged that capture planning problems of different natures and complexities, with a focus on deterministic problems. The purpose of this book is two-fold. First, we present a unified and current account of PDDL, covering the subsets of PDDL that express discrete, numeric, temporal, and hybrid planning. Second, we want to introduce readers to the art of modelling planning problems in this language, through educational examples that demonstrate how PDDL is used to model realistic planning problems. The book is intended for advanced students and researchers in AI who want to dive into the mechanics of AI planning, as well as those who want to be able to use AI planning systems without an in-depth explanation of the algorithms and implementation techniques they use.
