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ca. 200 words; this text will present the book in all promotional forms (e.g. flyers). Please describe the book in straightforward and consumer-friendly terms.[During the 20th century, the world experienced an unprecedented rise in people’s cognitive abilities. IQs increased 30 points (with the average IQ remaining 100 only because publishers reset the “average” on their tests). Yet, society’s ability to confront serious problems in the world seems as challenged as ever. Problems such as air pollution, global climate change, increasing disparity of incomes, disputes that never seem to move toward resolution (such as between the Israelis and Palestinians), and increasing antibiotic resistance—all of these and many other problems seem to defy us, despite our elevated IQs. Why are there so many serious problems still confronting the world? Why is IQ insufficient for solving serious problems where differences in people’s interests are at stake? How can intelligence, broadly defined, help us to create a better world and solve the seemingly intractable problems the world confronts? The essays in this book address these questions and provide some directions for answers.
intelligence --- practical intelligence --- creativity --- wisdom
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In April 2000, Bill Joy, co-founder and chief scientist at Sun Microsystems published a controversial article entitled "Why the Future Does not Need Us." Joy called for a moratorium on research in three new technological fields—artificial intelligence, nanotechnology, and genetic engineering. He noted that, while we were poised to make rapid technological advances in each of these areas, our understanding of the ethical questions these technologies would inevitably raise was lagging far behind. The intervening years since Joy’s warning have indeed brought significant advances in each of these fields, advancements that have huge implications for how human life will unfold. Each holds great promise—for new medical cures, for new materials and machines, and for new insights into our world. However, each of these technologies also brings the possibility of great peril. For good or ill, these technologies will change the way we work, live, think, and love. Thus, it makes sense to approach them from a religious perspective. How do these new technologies change our understanding of ourselves, our place in the world, our relationships to one another, the way we face death, or our relationship to God?
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Flexible and stretchable electronics are receiving tremendous attention as future electronics due to their flexibility and light weight, especially as applications in wearable electronics. Flexible electronics are usually fabricated on heat sensitive flexible substrates such as plastic, fabric or even paper, while stretchable electronics are usually fabricated from an elastomeric substrate to survive large deformation in their practical application. Therefore, successful fabrication of flexible electronics needs low temperature processable novel materials and a particular processing development because traditional materials and processes are not compatible with flexible/stretchable electronics. Huge technical challenges and opportunities surround these dramatic changes from the perspective of new material design and processing, new fabrication techniques, large deformation mechanics, new application development and so on. Here, we invited talented researchers to join us in this new vital field that holds the potential to reshape our future life, by contributing their words of wisdom from their particular perspective.
Flexible electronics --- Stretchable electronics --- Wearable electronics --- Printed electronics --- Inkjet printing --- R2R printing --- Low temperature process --- Polymer substrate --- Nanowires --- Nanoparticles --- Skin Intelligence --- Soft Smartness --- Bio-inspired Microsystems --- Large Deformation Mechanics --- Soft Material and Processing --- Fabrication Technique for Soft Device
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This issue of Proceedings gathers papers presented at XOVETIC2019 (A Coruña, Spain, 5-6 September 2019), a conference with the main goal of bringing together young researchers working in big data, artificial intelligence, Internet of Things, HPC(High-performance computing), cybersecurity, bioinformatics, natural language processing, 5G and others areas from the field of ICT (Information Communications Technology), and offering a platform to present the results of their research to a national audience in Galicia and north of Portugal. This second edition aims to serve as the basis of this event, which will be consolidated over time and acquire international projection. The conference is co-funded by Xunta de Galicia and European Union. European Regional Development Fund (ERDF).
Artificial intelligence --- Big Data --- Machine learning --- High Performance Computing (HPC) --- Optimization --- data recovery --- Bioinformatics --- Medical informatics --- Cybersecurity --- Geographic information systems --- Smart Systems --- Recommendation systems --- artificial vision --- movement localization and monitoring --- Distributed systems --- Applied Mathematics --- Statistics and Operative Investigation
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There are many different theories of intelligence. Although these theories differ in their nuances, nearly all agree that there are multiple cognitive abilities and that they differ in the breadth of content they are typically associated with. There is much less agreement about the relative importance of cognitive abilities of differing generality for predicting important real-world outcomes, such as educational achievement, career success, job performance, and health. Some investigators believe that narrower abilities hold little predictive power once general abilities have been accounted for. Other investigators contend that specific abilities are often as—or even more—effective in forecasting many practical variables as general abilities. These disagreements often turn on differences of theory and methodology that are both subtle and complex. The five cutting-edge contributions in this volume, both empirical and theoretical, advance the conversation in this vigorous, and highly important, scientific debate.
general cognitive ability --- specific cognitive abilities --- academic achievement --- job performance --- occupational attainment --- health --- longevity --- situational specificity --- bifactor model --- cognitive abilities --- educational attainment --- general mental ability --- hierarchical factor model --- higher-order factor model --- intelligence --- job performance --- nested-factors model --- relative importance analysis --- specific abilities --- specific ability --- second stratum abilities --- academic performance --- nested-factor models --- relative importance analysis --- predictor-criterion bandwidth alignment --- g-factor --- specific abilities --- scholastic performance --- school grades --- machine learning --- curvilinear relations --- ability differentiation --- bifactor model --- identification --- bifactor(S-1) model --- general factor --- specific factors --- general intelligence (g) --- non-g factors --- specific abilities --- ability tilt --- non-g residuals --- cognitive abilities --- specific abilities --- general abilities --- general mental ability --- relative importance --- narrow abilities --- subscores --- intelligence --- cognitive tests
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Attention in the AI safety community has increasingly started to include strategic considerations of coordination between relevant actors in the field of AI and AI safety, in addition to the steadily growing work on the technical considerations of building safe AI systems. This shift has several reasons: Multiplier effects, pragmatism, and urgency. Given the benefits of coordination between those working towards safe superintelligence, this book surveys promising research in this emerging field regarding AI safety. On a meta-level, the hope is that this book can serve as a map to inform those working in the field of AI coordination about other promising efforts. While this book focuses on AI safety coordination, coordination is important to most other known existential risks (e.g., biotechnology risks), and future, human-made existential risks. Thus, while most coordination strategies in this book are specific to superintelligence, we hope that some insights yield “collateral benefits” for the reduction of other existential risks, by creating an overall civilizational framework that increases robustness, resiliency, and antifragility.
AI welfare science --- AI welfare policies --- sentiocentrism --- antispeciesism --- AI safety --- value sensitive design --- VSD --- design for values --- safe for design --- AI --- ethics --- AI safety --- existential risk --- AI alignment --- superintelligence --- AI arms race --- multi-agent systems --- specification gaming --- artificial intelligence safety --- Goodhart’s Law --- machine learning --- moral and ethical behavior --- artilects --- supermorality --- superintelligence --- policymaking process --- AI risk --- typologies of AI policy --- AI governance --- autonomous distributed system --- conflict --- existential risk --- distributed goals management --- terraforming --- technological singularity --- AI forecasting --- technology forecasting --- scenario analysis --- scenario mapping --- transformative AI --- scenario network mapping --- judgmental distillation mapping --- holistic forecasting framework --- artificial general intelligence --- AGI --- blockchain --- distributed ledger --- AI containment --- AI safety --- AI value alignment --- ASILOMAR --- future-ready --- strategic oversight --- artificial superintelligence --- artificial intelligence --- forecasting AI behavior --- predictive optimization --- simulations --- Bayesian networks --- adaptive learning systems --- pedagogical motif --- explainable AI --- AI Thinking --- human-in-the-loop --- human-centric reasoning --- policy making on AI
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Energy has been a crucial element for human beings and sustainable development. The issues of global warming and non-green energy have yet to be resolved. This book is a collection of twelve articles that provide strong evidence for the success of artificial intelligence deployment in energy research, particularly research devoted to non-intrusive load monitoring, network, and grid, as well as other emerging topics. The presented artificial intelligence algorithms may provide insight into how to apply similar approaches, subject to fine-tuning and customization, to other unexplored energy research. The ultimate goal is to fully apply artificial intelligence to the energy sector. This book may serve as a guide for professionals, researchers, and data scientists—namely, how to share opinions and exchange ideas so as to facilitate a better fusion of energy, academic, and industry research, and improve in the quality of people's daily life activities.
artificial intelligence --- demand response --- energy --- policy making --- genetic algorithm --- multiple kernel learning --- non-intrusive load monitoring --- smart grid --- smart metering --- support vector machine --- smart cities --- smart villages --- scheduling --- demand side management --- smart grid --- home energy management --- NILM --- energy disaggregation --- MCP39F511 --- Jetson TX2 --- transient signature --- decision tree --- LSTM --- wireless sensor networks --- energy efficient coverage --- distributed genetic algorithm --- smart grid --- forecasting --- load --- price --- CNN --- LR --- ELR --- RELM --- ERELM --- insulator --- Faster R-CNN --- object detection --- RPN --- deep learning --- load disaggregation --- nonintrusive load monitoring --- conditional random fields --- feature extraction --- mud rheology --- drill-in fluid --- artificial neural network --- Marsh funnel --- plastic viscosity --- yield point --- static young’s modulus --- artificial neural networks --- self-adaptive differential evolution algorithm --- sandstone reservoirs --- non-intrusive load monitoring --- home energy management systems --- ambient assisted living --- demand response --- machine learning --- internet of things --- smart grids --- artificial intelligence --- computational intelligence --- energy management --- machine learning --- optimization algorithms --- sensor network --- smart city --- smart grid --- sustainable development
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This Special Issue ""Multi-Agent Systems"" gathers original research articles reporting results on the steadily growing area of agent-oriented computing and multi-agent systems technologies. After more than 20 years of academic research on multi-agent systems (MASs), in fact, agent-oriented models and technologies have been promoted as the most suitable candidates for the design and development of distributed and intelligent applications in complex and dynamic environments. With respect to both their quality and range, the papers in this Special Issue already represent a meaningful sample of the most recent advancements in the field of agent-oriented models and technologies. In particular, the 17 contributions cover agent-based modeling and simulation, situated multi-agent systems, socio-technical multi-agent systems, and semantic technologies applied to multi-agent systems. In fact, it is surprising to witness how such a limited portion of MAS research already highlights the most relevant usage of agent-based models and technologies, as well as their most appreciated characteristics. We are thus confident that the readers of Applied Sciences will be able to appreciate the growing role that MASs will play in the design and development of the next generation of complex intelligent systems. This Special Issue has been converted into a yearly series, for which a new call for papers is already available at the Applied Sciences journal’s website: https://www.mdpi.com/journal/applsci/special_issues/Multi-Agent_Systems_2019.
scaled consensus --- delay --- formation tracking --- multi-agent system --- collision avoidance --- multiple passive agents --- Mobile Robot Navigation --- pedestrian environment --- kinodynamic planning --- velocity obstacle --- agent-based modeling --- complex network --- multi-agent system --- network management --- [-5]agent-based simulation --- agent-based social simulation --- multi-agent system --- agent-oriented software engineering --- sociogram --- agent technology --- organizational model --- agent behavior --- travel behavior --- commuting --- carpooling --- online double auction --- mechanism design --- perishable goods --- multi-agent simulation --- bike sharing systems (BSS) --- regression models --- open data --- data visualization --- multi agent systems --- organizations and institutions --- socio-technical systems --- multi-agent systems --- electric vehicles --- charging stations --- genetic algorithm --- multi-agent system --- agent-based simulation --- 3D representation --- human-machine interaction --- ambient intelligence --- user interaction levels --- intelligent agents --- intelligent hybrid systems --- type-2 fuzzy inference system --- methodologies for agent-based systems --- organizations and institutions --- socio–technical systems --- computational accountability --- social commitments --- agent-based programming --- multi-agent system --- BDI agents --- model-driven development --- agent development methodology --- semantic web service --- ontology --- SEA_ML --- electronic bartering system --- ambient intelligence --- cognitive disabilities --- mobile communication --- orientation --- person tracking --- trajectory mining --- agreement technologies --- coordination models --- multiagent systems --- smart cities --- surface vehicle --- underactuated vehicle --- RBFNNs --- directed graph --- coordinated control --- Behavior Trees (BTs) --- Genetic Programming (GP) --- autonomous agents --- behavior modeling --- tree mining --- agent development framework --- mobile device agent --- linked data --- semantic web --- multi-agent systems --- agent-based modelling --- agent-based simulation --- agent-oriented technologies --- coordination --- Artificial Intelligence --- computer science --- multi-agent systems --- agent methodologies --- agent-based simulation --- ambient intelligence --- smart cities
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Artificial Intelligence (AI) has found many applications in the past decade due to the ever increasing computing power. Artificial Neural Networks are inspired in the brain structure and consist in the interconnection of artificial neurons through artificial synapses. Training these systems requires huge amounts of data and, after the network is trained, it can recognize unforeseen data and provide useful information. The so-called Spiking Neural Networks behave similarly to how the brain functions and are very energy efficient. Up to this moment, both spiking and conventional neural networks have been implemented in software programs running on conventional computing units. However, this approach requires high computing power, a large physical space and is energy inefficient. Thus, there is an increasing interest in developing AI tools directly implemented in hardware. The first hardware demonstrations have been based on CMOS circuits for neurons and specific communication protocols for synapses. However, to further increase training speed and energy efficiency while decreasing system size, the combination of CMOS neurons with memristor synapses is being explored. The memristor is a resistor with memory which behaves similarly to biological synapses. This book explores the state-of-the-art of neuromorphic circuits implementing neural networks with memristors for AI applications.
memristor --- artificial synapse --- neuromorphic computing --- memristor-CMOS hybrid circuit --- temporal pooling --- sensory and hippocampal responses --- cortical neurons --- hierarchical temporal memory --- neocortex --- memristor-CMOS hybrid circuit --- defect-tolerant spatial pooling --- boost-factor adjustment --- memristor crossbar --- neuromorphic hardware --- memristor --- compact model --- emulator --- neuromorphic --- synapse --- STDP --- pavlov --- neuromorphic systems --- spiking neural networks --- memristors --- spike-timing-dependent plasticity --- RRAM --- vertical RRAM --- neuromorphics --- neural network hardware --- reinforcement learning --- AI --- neuromorphic computing --- multiscale modeling --- memristor --- optimization --- RRAM --- simulation --- memristors --- neuromorphic engineering --- OxRAM --- self-organization maps --- synaptic device --- memristor --- neuromorphic computing --- artificial intelligence --- hardware-based deep learning ICs --- circuit design --- memristor --- RRAM --- variability --- time series modeling --- autocovariance --- graphene oxide --- laser --- memristor --- crossbar array --- neuromorphic computing --- wire resistance --- synaptic weight --- character recognition --- neuromorphic computing --- Flash memories --- memristive devices --- resistive switching --- synaptic plasticity --- artificial neural network --- spiking neural network --- pattern recognition --- strongly correlated oxides --- resistive switching --- neuromorphic computing --- transistor-like devices --- artificial intelligence --- neural networks --- resistive switching --- memristive devices --- deep learning networks --- spiking neural networks --- electronic synapses --- crossbar array --- pattern recognition
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Flexible Electronics platforms are increasingly used in the fields of sensors, displays, and energy conversion with the ultimate goal of facilitating their ubiquitous integration in our daily lives. Some of the key advantages associated with flexible electronic platforms are: bendability, lightweight, elastic, conformally shaped, nonbreakable, roll-to-roll manufacturable, and large-area. To realize their full potential, however, it is necessary to develop new methods for the fabrication of multifunctional flexible electronics at a reduced cost and with an increased resistance to mechanical fatigue. Accordingly, this Special Issue seeks to showcase short communications, research papers, and review articles that focus on novel methodological development for the fabrication, and integration of flexible electronics in healthcare, environmental monitoring, displays and human-machine interactivity, robotics, communication and wireless networks, and energy conversion, management, and storage.
epidermal electronics --- wearable heater --- temperature sensor --- feedback control --- droplet circuits --- liquid metal --- quantum tunneling effect --- solution electronics --- electron transport --- ionic conduction --- quantum computing --- brain-like intelligence --- flexible organic electronics --- artificial synapses --- neuromorphic computing --- long-term plasticity --- flexible electronics --- nano-fabrication --- top-down approaches --- bottom-up approaches --- variable optical attenuator (VOA) --- surface plasmon-polariton (SPP) --- microwave photonics --- stretchability --- electronic measurements --- stretchable circuits --- design metrics --- reliability --- island-bridge --- conformal design --- non-developable surface --- stretchable electronics --- epidermal sensors --- stretchable electronics --- wireless power --- hydrophobic paper --- wearable stimulators --- paper electronics --- low-cost manufacture --- stretchable electronics --- tunnel encapsulation --- Polyvinyl Alcohol --- durability --- bio-integrated devices --- tissue adhesives --- tunable adhesion --- dry/wet conditions --- soft biological tissue --- n/a
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