Cognitive Design for Artificial Minds

Cognitive Design for Artificial Minds
Author: Antonio Lieto
Publsiher: Routledge
Total Pages: 136
Release: 2021-03-31
Genre: Computers
ISBN: 9781315460512

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Cognitive Design for Artificial Minds explains the crucial role that human cognition research plays in the design and realization of artificial intelligence systems, illustrating the steps necessary for the design of artificial models of cognition. It bridges the gap between the theoretical, experimental, and technological issues addressed in the context of AI of cognitive inspiration and computational cognitive science. Beginning with an overview of the historical, methodological, and technical issues in the field of cognitively inspired artificial intelligence, Lieto illustrates how the cognitive design approach has an important role to play in the development of intelligent AI technologies and plausible computational models of cognition. Introducing a unique perspective that draws upon Cybernetics and early AI principles, Lieto emphasizes the need for an equivalence between cognitive processes and implemented AI procedures, in order to realize biologically and cognitively inspired artificial minds. He also introduces the Minimal Cognitive Grid, a pragmatic method to rank the different degrees of biological and cognitive accuracy of artificial systems in order to project and predict their explanatory power with respect to the natural systems taken as a source of inspiration. Providing a comprehensive overview of cognitive design principles in constructing artificial minds, this text will be essential reading for students and researchers of artificial intelligence and cognitive science.

Machine Learning and Knowledge Extraction

Machine Learning and Knowledge Extraction
Author: Andreas Holzinger,Peter Kieseberg,A Min Tjoa,Edgar Weippl
Publsiher: Springer Nature
Total Pages: 416
Release: 2019-08-22
Genre: Computers
ISBN: 9783030297268

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This book constitutes the refereed proceedings of the IFIP TC 5, TC 12, WG 8.4, 8.9, 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2019, held in Canterbury, UK, in August 2019. The 25 revised full papers presented were carefully reviewed and selected from 45 submissions. The cross-domain integration and appraisal of different fields provides an atmosphere to foster different perspectives and opinions; it will offer a platform for novel ideas and a fresh look on the methodologies to put these ideas into business for the benefit of humanity.

Principles of Responsible Management Education PRME in the Age of Artificial Intelligence AI

Principles of Responsible Management Education  PRME  in the Age of Artificial Intelligence  AI
Author: Agata Stachowicz-Stanusch,Wolfgang Amann,Radha R. Sharma,Fauzia Jabeen
Publsiher: IAP
Total Pages: 207
Release: 2021-08-01
Genre: Computers
ISBN: 9781648025457

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Artificial intelligence (AI) technologies are one of the top investment priorities in these days. We expect that by 2030, some 800 million jobs will have disappeared and taken over by machines, and artificial intelligence will reach human levels by around 2029. Continuing this train of thought to 2045, we will have multiplied the intelligence, the human biological machine intelligence of our civilization a billion-fold. The time of machines requires new forms of work and new ways of business education. This book is authored by a range of international experts with a diversity of backgrounds and perspectives hopefully bringing us closer to the responses for the questions like how may AI be used /or is a threat for PRME implementation, how will AI impact the business education world or what we should teach in business school in the time of AI (what the ‘right’ set of future skills is)? In our book, we address the following questions: 1. How will AI impact the business education world? 2. How will AI be used in business schools and management learning? 3. Is AI a threat for the successful implementation of PRME? 4. What should new learning goals be? 5. How should we create next generation learning journeys?

Current Trends and Advances in Computer Aided Intelligent Environmental Data Engineering

Current Trends and Advances in Computer Aided Intelligent Environmental Data Engineering
Author: Goncalo Marques,Joshua O. Ighalo
Publsiher: Academic Press
Total Pages: 474
Release: 2022-03-20
Genre: Computers
ISBN: 9780323855983

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Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering merges computer engineering and environmental engineering. The book presents the latest finding on how data science and AI-based tools are being applied in environmental engineering research. This application involves multiple domains such as data science and artificial intelligence to transform the data collected by intelligent sensors into relevant and reliable information to support decision-making. These tools include fuzzy logic, knowledge-based systems, particle swarm optimization, genetic algorithms, Monte Carlo simulation, artificial neural networks, support vector machine, boosted regression tree, simulated annealing, ant colony algorithm, decision tree, immune algorithm, and imperialist competitive algorithm. This book is a fundamental information source because it is the first book to present the foundational reference material in this new research field. Furthermore, it gives a critical overview of the latest cross-domain research findings and technological developments on the recent advances in computer-aided intelligent environmental data engineering. Captures the application of data science and artificial intelligence for a broader spectrum of environmental engineering problems Presents methods and procedures as well as case studies where state-of-the-art technologies are applied in actual environmental scenarios Offers a compilation of essential and critical reviews on the application of data science and artificial intelligence to the entire spectrum of environmental engineering

The Disruptive Impact of Lethal Autonomous Weapons Systems Diffusion

The Disruptive Impact of Lethal Autonomous Weapons Systems Diffusion
Author: Austin Wyatt
Publsiher: Routledge
Total Pages: 248
Release: 2021-11-05
Genre: Political Science
ISBN: 9781000469028

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Challenging the focus on great powers in the international debate, this book explores how rising middle power states are engaging with emerging major military innovations and analyses how this will affect the stability and security of the Indo Pacific. Presenting a data-based analysis of how middle power actors in the Indo-Pacific are responding to the emergence of military Artificial Intelligence and Killer Robots, the book asserts that continuing to exclude non-great power actors from our thinking in this field enables the dangerous diffusion of Lethal Autonomous Weapon Systems (LAWS) to smaller states and terrorist groups, and demonstrates the disruptive effects of these military innovations on the balance of power in the Indo-Pacific. Offering a detailed analysis of the resource capacities of China, United States, Singapore and Indonesia, it shows how major military innovation acts as a circuit breaker between competitor states disrupting the conventional superiority of the dominant hegemonic state and giving a successful adopter a distinct advantage over their opponent. This book will appeal to researchers, end-users in the military and law enforcement communities, and policymakers. It will also be a valuable resource for researchers interested in strategic stability for the broader Asia-Pacific and the role of middle power states in hegemonic power transition and conflict.

Advances in Big Data

Advances in Big Data
Author: Plamen Angelov,Yannis Manolopoulos,Lazaros Iliadis,Asim Roy,Marley Vellasco
Publsiher: Springer
Total Pages: 348
Release: 2016-10-20
Genre: Technology & Engineering
ISBN: 9783319478982

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The book offers a timely snapshot of neural network technologies as a significant component of big data analytics platforms. It promotes new advances and research directions in efficient and innovative algorithmic approaches to analyzing big data (e.g. deep networks, nature-inspired and brain-inspired algorithms); implementations on different computing platforms (e.g. neuromorphic, graphics processing units (GPUs), clouds, clusters); and big data analytics applications to solve real-world problems (e.g. weather prediction, transportation, energy management). The book, which reports on the second edition of the INNS Conference on Big Data, held on October 23–25, 2016, in Thessaloniki, Greece, depicts an interesting collaborative adventure of neural networks with big data and other learning technologies.

Automation and Control

Automation and Control
Author: Elmer P. Dadios
Publsiher: BoD – Books on Demand
Total Pages: 140
Release: 2022-05-25
Genre: Technology & Engineering
ISBN: 9781839691737

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Advances in automation and control today cover many areas of technology where human input is minimized. This book discusses numerous types and applications of automation and control. Chapters address topics such as building information modeling (BIM)–based automated code compliance checking (ACCC), control algorithms useful for military operations and video games, rescue competitions using unmanned aerial-ground robots, and stochastic control systems.

Integration of WSNs into Internet of Things

Integration of WSNs into Internet of Things
Author: Sudhir Kumar Sharma,Bharat Bhushan,Raghvendra Kumar,Aditya Khamparia,Narayan C. Debnath
Publsiher: CRC Press
Total Pages: 368
Release: 2021-06-03
Genre: Computers
ISBN: 9781000370041

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The Internet has gone from an Internet of people to an Internet of Things (IoT). This has brought forth strong levels of complexity in handling interoperability that involves the integrating of wireless sensor networks (WSNs) into IoT. This book offers insights into the evolution, usage, challenges, and proposed countermeasures associated with the integration. Focusing on the integration of WSNs into IoT and shedding further light on the subtleties of such integration, this book aims to highlight the encountered problems and provide suitable solutions. It throws light on the various types of threats that can attack both WSNs and IoT along with the recent approaches to counter them. This book is designed to be the first choice of reference at research and development centers, academic institutions, university libraries, and any institution interested in the integration of WSNs into IoT. Undergraduate and postgraduate students, Ph.D. scholars, industry technologists, young entrepreneurs, and researchers working in the field of security and privacy in IoT are the primary audience of this book.

Artificial Intelligence Applications in Specialty Crops

Artificial Intelligence Applications in Specialty Crops
Author: Yiannis Ampatzidis,Reza Ehsani,Spyros Fountas,Panos M. Pardalos
Publsiher: Frontiers Media SA
Total Pages: 135
Release: 2022-03-02
Genre: Science
ISBN: 9782889745579

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Agriculture Digitalization and Organic Production

Agriculture Digitalization and Organic Production
Author: Andrey Ronzhin,Karsten Berns,Alexander Kostyaev
Publsiher: Springer Nature
Total Pages: 396
Release: 2021-08-19
Genre: Technology & Engineering
ISBN: 9789811633492

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This book features selected papers presented at the First International Conference on Agriculture Digitalization and Organic Production (ADOP 2021), held in St. Petersburg, Russia, on June 07–09, 2021. The contributions, written by professionals, researchers and students, cover topics in the field of agriculture, biology, robotics, information technology and economics for solving urgent problems in digitalization of organic livestock and crop production. The conference is organized by the St. Petersburg Federal Research Center of the Russian Academy of Sciences (SPC RAS) and the Technische Universitat Kaiserslautern.The book will be useful to researchers of interdisciplinary issues of digitalization and robotization of agricultural production, as well as farmers and commercial companies, which introduce new technologies in crop production and animal husbandry. The book also covers a range of issues related to scientific training of graduate students in the areas of "Mechatronics and robotics", "Control in technical systems" and "Technologies, means mechanization and energy equipment in rural, forestry and fisheries”.

Application of Machine Learning in Agriculture

Application of Machine Learning in Agriculture
Author: Mohammad Ayoub Khan,Rijwan Khan,Mohammad Aslam Ansari
Publsiher: Academic Press
Total Pages: 330
Release: 2022-05-27
Genre: Business & Economics
ISBN: 9780323906685

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Application of Machine Learning in Smart Agriculture is the first book to present a multidisciplinary look at how technology can not only improve agricultural output, but the economic efficiency of that output as well. Through a global lens, the book approaches the subject from a technical perspective, providing important knowledge and insights for effective and efficient implementation and utilization of machine learning. As artificial intelligence techniques are being used to increase yield through optimal planting, fertilizing, irrigation, and harvesting, these are only part of the complex picture which must also take into account the economic investment and its optimized return. The performance of machine learning models improves over time as the various mathematical and statistical models are proven. Presented in three parts, Application of Machine Learning in Smart Agriculture looks at the fundamentals of smart agriculture; the economics of the technology in the agricultural marketplace; and a diverse representation of the tools and techniques currently available, and in development. This book is an important resource for advanced level students and professionals working with artificial intelligence, internet of things, technology and agricultural economics. Addresses the technology of smart agriculture from a technical perspective Reveals opportunities for technology to improve and enhance not only yield and quality, but the economic value of a food crop Discusses physical instruments, simulations, sensors, and markets for machine learning in agriculture

HPC Big Data and AI Convergence Towards Exascale

HPC  Big Data  and AI Convergence Towards Exascale
Author: Olivier Terzo,Jan Martinovič
Publsiher: CRC Press
Total Pages: 322
Release: 2022-01-14
Genre: Computers
ISBN: 9781000485110

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HPC, Big Data, AI Convergence Towards Exascale provides an updated vision on the most advanced computing, storage, and interconnection technologies, that are at basis of convergence among the HPC, Cloud, Big Data, and artificial intelligence (AI) domains. Through the presentation of the solutions devised within recently founded H2020 European projects, this book provides an insight on challenges faced by integrating such technologies and in achieving performance and energy efficiency targets towards the exascale level. Emphasis is given to innovative ways of provisioning and managing resources, as well as monitoring their usage. Industrial and scientific use cases give to the reader practical examples of the needs for a cross-domain convergence. All the chapters in this book pave the road to new generation of technologies, support their development and, in addition, verify them on real-world problems. The readers will find this book useful because it provides an overview of currently available technologies that fit with the concept of unified Cloud-HPC-Big Data-AI applications and presents examples of their actual use in scientific and industrial applications.

Linguistics for the Age of AI

Linguistics for the Age of AI
Author: Marjorie Mcshane,Sergei Nirenburg
Publsiher: MIT Press
Total Pages: 448
Release: 2021-03-02
Genre: Computers
ISBN: 9780262362603

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A human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems. One of the original goals of artificial intelligence research was to endow intelligent agents with human-level natural language capabilities. Recent AI research, however, has focused on applying statistical and machine learning approaches to big data rather than attempting to model what people do and how they do it. In this book, Marjorie McShane and Sergei Nirenburg return to the original goal of recreating human-level intelligence in a machine. They present a human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems that emphasizes meaning--the deep, context-sensitive meaning that a person derives from spoken or written language.

Geospatial Intelligence

Geospatial Intelligence
Author: Fatimazahra Barramou,El Hassan El Brirchi,Khalifa Mansouri,Youness Dehbi
Publsiher: Springer Nature
Total Pages: 180
Release: 2021-11-10
Genre: Computers
ISBN: 9783030804589

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This book explores cutting-edge methods combining geospatial technologies and artificial intelligence related to several fields such as smart farming, urban planning, geology, transportation, and 3D city models. It introduces techniques which range from machine and deep learning to remote sensing for geospatial data analysis. The book consists of two main parts that include 13 chapters contributed by promising authors. The first part deals with the use of artificial intelligence techniques to improve spatial data analysis, whereas the second part focuses on the use of artificial intelligence with remote sensing in various fields. Throughout the chapters, the interest for the use of artificial intelligence is demonstrated for different geospatial technologies such as aerial imagery, drones, Lidar, satellite remote sensing, and more. The work in this book is dedicated to the scientific community interested in the coupling of geospatial technologies and artificial intelligence and exploring the synergetic effects of both fields. It offers practitioners and researchers from academia, the industry and government information, experiences and research results about all aspects of specialized and interdisciplinary fields on geospatial intelligence.

Simulation for Cyber Physical Systems Engineering

Simulation for Cyber Physical Systems Engineering
Author: José L. Risco Martín,Saurabh Mittal,Tuncer Ören
Publsiher: Springer Nature
Total Pages: 451
Release: 2020-11-07
Genre: Computers
ISBN: 9783030519094

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This comprehensive book examines a range of examples, prepared by a diverse group of academic and industry practitioners, which demonstrate how cloud-based simulation is being extensively used across many disciplines, including cyber-physical systems engineering. This book is a compendium of the state of the art in cloud-based simulation that instructors can use to inform the next generation. It highlights the underlying infrastructure, modeling paradigms, and simulation methodologies that can be brought to bear to develop the next generation of systems for a highly connected society. Such systems, aptly termed cyber-physical systems (CPS), are now widely used in e.g. transportation systems, smart grids, connected vehicles, industrial production systems, healthcare, education, and defense. Modeling and simulation (M&S), along with big data technologies, are at the forefront of complex systems engineering research. The disciplines of cloud-based simulation and CPS engineering are evolving at a rapid pace, but are not optimally supporting each other’s advancement. This book brings together these two communities, which already serve multi-disciplinary applications. It provides an overview of the simulation technologies landscape, and of infrastructure pertaining to the use of cloud-based environments for CPS engineering. It covers the engineering, design, and application of cloud simulation technologies and infrastructures applicable for CPS engineering. The contributions share valuable lessons learned from developing real-time embedded and robotic systems deployed through cloud-based infrastructures for application in CPS engineering and IoT-enabled society. The coverage incorporates cloud-based M&S as a medium for facilitating CPS engineering and governance, and elaborates on available cloud-based M&S technologies and their impacts on specific aspects of CPS engineering.