Erscheinungsdatum: 22.01.2020, Medium: Buch, Einband: Gebunden, Titel: Biologically Inspired Techniques in Many-Criteria Decision Making, Titelzusatz: International Conference on Biologically Inspired Techniques in Many-Criteria Decision Making (BITMDM-2019), Auflage: 1. Auflage von 1920 // 1st ed. 2020, Redaktion: Cho, Sung-Bae // Dehuri, Satchidananda // Favorskaya, Margarita N. // Mallick, Pradeep Kumar // Mishra, Bhabani Shankar Prasad, Verlag: Springer International Publishing, Sprache: Englisch, Schlagworte: Technologie // allgemein // Datenbanken, Rubrik: Technik allgemein, Seiten: 276, Informationen: HC runder Rücken kaschiert, Gewicht: 582 gr, Verkäufer: averdo
Biologically Inspired Techniques in Many-Criteria Decision Making ab 223.49 € als pdf eBook: International Conference on Biologically Inspired Techniques in Many-Criteria Decision Making (BITMDM-2019). Aus dem Bereich: eBooks, Sachthemen & Ratgeber, Technik,
Biologically Inspired Techniques in Many-Criteria Decision Making ab 235.49 € als gebundene Ausgabe: International Conference on Biologically Inspired Techniques in Many-Criteria Decision Making (BITMDM-2019). 1st ed. 2020. Aus dem Bereich: Bücher, Wissenschaft, Technik,
Optimize your life, realize your potential, and maximize your success! What if you could create habits that last a lifetime? What if you could achieve anything you set your mind to? What if you could routinely make smart decisions? Mental trainer and author Patrik Edblad has helped tens of thousands of people to live better lives. The Good Life Blueprint Series: Volume 1-3 contains all of his best-selling books. The Habit Blueprint: 15 Simple Steps to Transform Your LifeIn this book, you’ll discover:The neurological loop that drives your behaviors (and how to make it work for you)Ways to get yourself hooked on your habitsA simple strategy to make you two to three times more likely to follow through every daySteps to prevent yourself from falling for “mental loopholes”Methods to limit the damage when you have a setback.Many more strategies to easily create lasting habits.The Self-Discipline Blueprint: A Simple Guide to Beat Procrastination, Achieve Your Goals, and Get the Life You WantIn this book, you’ll discover:The four fundamental “keystone habits” of self-disciplineWays to change your mind-set to cultivate successMethods to establish your mission in life using the hedgehog conceptSteps to find your unique “why” using the golden circleWays to get laser-focused on the right things by defining your circle of competenceSteps to biologically reshape your mind and body for success by creating a winner effectSeveral research-backed strategies to radically transform your behavior.The Decision-Making Blueprint: A Simple Guide to Better Choices in Life and Work In this book, you’ll discover:The cognitive biases that distort your thinking and how to counteract them.The logical fallacies that derail your ju 1. Language: English. Narrator: Greg Zarcone. Audio sample: http://samples.audible.de/bk/acx0/175086/bk_acx0_175086_sample.mp3. Digital audiobook in aax.
Biologically Inspired Techniques in Many-Criteria Decision Making ab 235.49 EURO International Conference on Biologically Inspired Techniques in Many-Criteria Decision Making (BITMDM-2019). 1st ed. 2020
Biologically Inspired Techniques in Many-Criteria Decision Making ab 223.49 EURO International Conference on Biologically Inspired Techniques in Many-Criteria Decision Making (BITMDM-2019)
Data collected by multi-modality sensors to detect and characterize behavior of entities and events over a given situation. In order to transform the multi-modality sensors data into useful information leading to actionable information, there is an essential need for a robust data fusion model. A robust fusion model should be able to acquire data from multi-agent sensors and take advantage of spatio-temporal characteristics of multi-modality sensors to create a better situational awareness ability and in particular, assisting with soft fusion of multi-threaded information from variety of sensors under task uncertainties. This book presents a novel Image-based model for multi-modality data fusion. The concept of this fusion model is biologically-inspired by the human brain energy perceptual model. Similar to the human brain having designated regions to map immediate sensory experiences and fusing collective heterogeneous sensory perceptions to create a situational understanding for decision-making, the proposed image-based fusion model follows an analogous data to information fusion scheme for actionable decision-making applied to surveillance intelligent systems.
"Look deep into nature and you will understand everything better." advised Albert Einstein. In recent years, the research communities in Computer Science, Engineering, and other disciplines have taken this message to heart, and a relatively new field of "biologically-inspired computing" has been born. Inspiration is being drawn from nature, from the behaviors of colonies of ants, of swarms of bees and even the human body. This new paradigm in computing takes many simple autonomous objects or agents and lets them jointly perform a complex task, without having the need for centralized control. In this paradigm, these simple objects interact locally with their environment using simple rules. Applications include optimization algorithms, communications networks, scheduling and decision making, supply-chain management, and robotics, to name just a few. There are many disciplines involved in making such systems work: from artificial intelligence to energy aware systems. Often these disciplines have their own field of focus, have their own conferences, or only deal with specialized s- problems (e.g. swarm intelligence, biologically inspired computation, sensor networks). The Second IFIP Conference on Biologically-Inspired Collaborative Computing aims to bridge this separation of the scientific community and bring together researchers in the fields of Organic Computing, Autonomic Computing, Self-Organizing Systems, Pervasive Computing and related areas. We are very pleased to have two very important keynote presentations: Swarm Robotics: The Coordination of Robots via Swarm Intelligence Principles by Marco Dorigo (Université Libre de Bruxelles, Belgium), of which an abstract is included in this volume.
Sequential behavior is essential to intelligence in general and a fundamental part of human activities, ranging from reasoning to language, and from everyday skills to complex problem solving. Sequence learning is an important component of learning in many tasks and application fields: planning, reasoning, robotics natural language processing, speech recognition, adaptive control, time series prediction, financial engineering, DNA sequencing, and so on. This book presents coherently integrated chapters by leading authorities and assesses the state of the art in sequence learning by introducing essential models and algorithms and by examining a variety of applications. The book offers topical sections on sequence clustering and learning with Markov models, sequence prediction and recognition with neural networks, sequence discovery with symbolic methods, sequential decision making, biologically inspired sequence learning models.