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TÃtulo : Knowledge Management and Acquisition for Intelligent Systems : 16th Pacific Rim Knowledge Acquisition Workshop, PKAW 2019, Cuvu, Fiji, August 26–27, 2019, Proceedings / Tipo de documento: documento electrónico Autores: Ohara, Kouzou, ; Bai, Quan, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2019 Número de páginas: X, 195 p. 104 ilustraciones, 58 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-30639-7 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Inteligencia artificial Red de computadoras IngenierÃa de software Ciencias sociales Redes de comunicación informática Aplicación informática en ciencias sociales y del comportamiento. Clasificación: 006.3 Resumen: Este libro constituye las actas del 16º Taller Internacional sobre Gestión y Adquisición de Conocimiento para Sistemas Inteligentes, PKAW 2019, celebrado en Cuvu, Fiji, en agosto de 2019. Los 9 artÃculos completos y los 7 artÃculos breves incluidos en este volumen fueron cuidadosamente revisados ​​y seleccionados de 38 presentaciones iniciales. Los artÃculos cubren trabajos de investigación avanzados que contribuyen a los aspectos técnicos y teóricos en los campos de sistemas/agentes inteligentes, procesamiento del lenguaje natural y aplicaciones de técnicas de aprendizaje automático, incluido el aprendizaje profundo, a problemas del mundo real. Nota de contenido: Estimating difficulty score of visual search in images for semi-supervised object detection -- Improving Named Entity Recognition with Commonsense Knowledge Pre-training -- Neurofeedback and AI for Analyzing Child Temperament and Attention Levels -- Finding Diachronic Objects of Drifting Descriptions by Similar Mentions -- A max-min conflict algorithm for the stable marriage problem -- Empirical Evaluation of Deep Learning-based Travel Time Prediction -- Marine Vertebrate Predator Detection and Recognition in Underwater Videos by Region Convolutional Neural Network -- Constructing Dataset Based on Concept Hierarchy for Evaluating Word Vectors Learned from Multisense Words -- Adaptive Database's Performance Tuning based on Reinforcement learning -- Prior-knowledge-embedded LDA with word2vec - for detecting speciï¬c topics in documents -- Comparative Analysis of Intelligent Personal Agent Performance -- Toxicity Prediction by Multimodal Deep Learning -- Context-Aware Influence Diffusion in Online Social Networks -- Network Embedding via Self-Adjusting Random Walk -- Study on Influencers of Cryptocurrency Follow-network on GitHub -- A Cross-Domain Theory of Mental Models. Tipo de medio : Computadora Summary : This book constitutes the proceedings of the 16th International Workshop on Knowledge Management and Acquisition for Intelligent Systems, PKAW 2019, held in Cuvu, Fiji, in August 2019. The 9 full papers and 7 short papers included in this volume were carefully reviewed and selected from 38 initial submissions. The papers cover advanced research work that contributes to the technical and theoretical aspects in the ï¬elds of intelligent systems/agents, natural language processing, and applications of machine learning techniques including Deep Learning to real world problems. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Knowledge Management and Acquisition for Intelligent Systems : 16th Pacific Rim Knowledge Acquisition Workshop, PKAW 2019, Cuvu, Fiji, August 26–27, 2019, Proceedings / [documento electrónico] / Ohara, Kouzou, ; Bai, Quan, . - 1 ed. . - [s.l.] : Springer, 2019 . - X, 195 p. 104 ilustraciones, 58 ilustraciones en color.
ISBN : 978-3-030-30639-7
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Inteligencia artificial Red de computadoras IngenierÃa de software Ciencias sociales Redes de comunicación informática Aplicación informática en ciencias sociales y del comportamiento. Clasificación: 006.3 Resumen: Este libro constituye las actas del 16º Taller Internacional sobre Gestión y Adquisición de Conocimiento para Sistemas Inteligentes, PKAW 2019, celebrado en Cuvu, Fiji, en agosto de 2019. Los 9 artÃculos completos y los 7 artÃculos breves incluidos en este volumen fueron cuidadosamente revisados ​​y seleccionados de 38 presentaciones iniciales. Los artÃculos cubren trabajos de investigación avanzados que contribuyen a los aspectos técnicos y teóricos en los campos de sistemas/agentes inteligentes, procesamiento del lenguaje natural y aplicaciones de técnicas de aprendizaje automático, incluido el aprendizaje profundo, a problemas del mundo real. Nota de contenido: Estimating difficulty score of visual search in images for semi-supervised object detection -- Improving Named Entity Recognition with Commonsense Knowledge Pre-training -- Neurofeedback and AI for Analyzing Child Temperament and Attention Levels -- Finding Diachronic Objects of Drifting Descriptions by Similar Mentions -- A max-min conflict algorithm for the stable marriage problem -- Empirical Evaluation of Deep Learning-based Travel Time Prediction -- Marine Vertebrate Predator Detection and Recognition in Underwater Videos by Region Convolutional Neural Network -- Constructing Dataset Based on Concept Hierarchy for Evaluating Word Vectors Learned from Multisense Words -- Adaptive Database's Performance Tuning based on Reinforcement learning -- Prior-knowledge-embedded LDA with word2vec - for detecting speciï¬c topics in documents -- Comparative Analysis of Intelligent Personal Agent Performance -- Toxicity Prediction by Multimodal Deep Learning -- Context-Aware Influence Diffusion in Online Social Networks -- Network Embedding via Self-Adjusting Random Walk -- Study on Influencers of Cryptocurrency Follow-network on GitHub -- A Cross-Domain Theory of Mental Models. Tipo de medio : Computadora Summary : This book constitutes the proceedings of the 16th International Workshop on Knowledge Management and Acquisition for Intelligent Systems, PKAW 2019, held in Cuvu, Fiji, in August 2019. The 9 full papers and 7 short papers included in this volume were carefully reviewed and selected from 38 initial submissions. The papers cover advanced research work that contributes to the technical and theoretical aspects in the ï¬elds of intelligent systems/agents, natural language processing, and applications of machine learning techniques including Deep Learning to real world problems. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Knowledge Management and Acquisition for Intelligent Systems / Uehara, Hiroshi ; Yamaguchi, Takayasu ; Bai, Quan
TÃtulo : Knowledge Management and Acquisition for Intelligent Systems : 17th Pacific Rim Knowledge Acquisition Workshop, PKAW 2020, Yokohama, Japan, January 7–8, 2021, Proceedings / Tipo de documento: documento electrónico Autores: Uehara, Hiroshi, ; Yamaguchi, Takayasu, ; Bai, Quan, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: X, 187 p. 68 ilustraciones, 41 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-69886-7 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Inteligencia artificial Red de computadoras Ordenadores Gestión de base de datos Sistemas de almacenamiento y recuperación de información. Redes de comunicación informática Entornos informáticos Almacenamiento y recuperación de información Clasificación: 006.3 Resumen: Este libro constituye las actas del 17.º Taller Internacional sobre Gestión y Adquisición de Conocimiento para Sistemas Inteligentes, PKAW 2020, celebrado en Yokohama, Japón, en enero de 2021. Los 10 artÃculos completos y 5 artÃculos breves incluidos en este volumen fueron cuidadosamente revisados ​​y seleccionados de 28 presentaciones iniciales. PKAW se centra principalmente en el enfoque multidisciplinario de la adquisición de conocimientos impulsada por humanos y datos, que es el concepto clave que no ha cambiado desde que se estableció el taller. Nota de contenido: Accelerating the Backpropagation algorithm by Using the NMF-based method on Deep Neural Networks -- Collaborative Data Analysis: Non-Model Sharing-Type Machine Learning for Distributed Data -- ERA: Extracting planning macro-operators from adjacent and non-adjacent sequences -- Deep Neural Network Incorporating CNN and MF for Item-based Fashion Recommendation -- C-LIME: A Consistency-oriented LIME for Time-series Health-Risk Predictions -- Discriminant Knowledge Extraction from Electrocardiograms for Automated Diagnosis of Myocardial Infarction -- Stabilizing the Predictive Performance for Ear Emergence in Rice Crops across Cropping Regions -- Description Framework for Stakeholder-Centric Value Chain of Data to Understand Data Exchange Ecosystem -- Attributed Heterogeneous Network Embedding for Link Prediction -- Automatic Generation and Classification of Malicious FQDN -- Analyzing Temporal Change in LoRa Communication Quality Using Massive Measurement Data -- Challenge Closed-Book Science Exam: A Meta-Learning Based Question Answering System -- Identification of B2B Brand Components and their Performance's Relevance Using a Business Card Exchange Network -- Semi-Automatic Construction of Sight Words Dictionary for Filipino Text Readability -- Automated Concern Exploration in Pandemic Situations – COVID-19 as a Use Case. Tipo de medio : Computadora Summary : This book constitutes the proceedings of the 17th International Workshop on Knowledge Management and Acquisition for Intelligent Systems, PKAW 2020, held in Yokohama, Japan, in January 2021. The 10 full papers and 5 short papers included in this volume were carefully reviewed and selected from 28 initial submissions. PKAW primarily focuses on the multidisciplinary approach of the human-driven and data-driven knowledge acquisition, which is the key concept that has remained unchanged since the workshop has been established. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Knowledge Management and Acquisition for Intelligent Systems : 17th Pacific Rim Knowledge Acquisition Workshop, PKAW 2020, Yokohama, Japan, January 7–8, 2021, Proceedings / [documento electrónico] / Uehara, Hiroshi, ; Yamaguchi, Takayasu, ; Bai, Quan, . - 1 ed. . - [s.l.] : Springer, 2021 . - X, 187 p. 68 ilustraciones, 41 ilustraciones en color.
ISBN : 978-3-030-69886-7
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Inteligencia artificial Red de computadoras Ordenadores Gestión de base de datos Sistemas de almacenamiento y recuperación de información. Redes de comunicación informática Entornos informáticos Almacenamiento y recuperación de información Clasificación: 006.3 Resumen: Este libro constituye las actas del 17.º Taller Internacional sobre Gestión y Adquisición de Conocimiento para Sistemas Inteligentes, PKAW 2020, celebrado en Yokohama, Japón, en enero de 2021. Los 10 artÃculos completos y 5 artÃculos breves incluidos en este volumen fueron cuidadosamente revisados ​​y seleccionados de 28 presentaciones iniciales. PKAW se centra principalmente en el enfoque multidisciplinario de la adquisición de conocimientos impulsada por humanos y datos, que es el concepto clave que no ha cambiado desde que se estableció el taller. Nota de contenido: Accelerating the Backpropagation algorithm by Using the NMF-based method on Deep Neural Networks -- Collaborative Data Analysis: Non-Model Sharing-Type Machine Learning for Distributed Data -- ERA: Extracting planning macro-operators from adjacent and non-adjacent sequences -- Deep Neural Network Incorporating CNN and MF for Item-based Fashion Recommendation -- C-LIME: A Consistency-oriented LIME for Time-series Health-Risk Predictions -- Discriminant Knowledge Extraction from Electrocardiograms for Automated Diagnosis of Myocardial Infarction -- Stabilizing the Predictive Performance for Ear Emergence in Rice Crops across Cropping Regions -- Description Framework for Stakeholder-Centric Value Chain of Data to Understand Data Exchange Ecosystem -- Attributed Heterogeneous Network Embedding for Link Prediction -- Automatic Generation and Classification of Malicious FQDN -- Analyzing Temporal Change in LoRa Communication Quality Using Massive Measurement Data -- Challenge Closed-Book Science Exam: A Meta-Learning Based Question Answering System -- Identification of B2B Brand Components and their Performance's Relevance Using a Business Card Exchange Network -- Semi-Automatic Construction of Sight Words Dictionary for Filipino Text Readability -- Automated Concern Exploration in Pandemic Situations – COVID-19 as a Use Case. Tipo de medio : Computadora Summary : This book constitutes the proceedings of the 17th International Workshop on Knowledge Management and Acquisition for Intelligent Systems, PKAW 2020, held in Yokohama, Japan, in January 2021. The 10 full papers and 5 short papers included in this volume were carefully reviewed and selected from 28 initial submissions. PKAW primarily focuses on the multidisciplinary approach of the human-driven and data-driven knowledge acquisition, which is the key concept that has remained unchanged since the workshop has been established. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Modern Approaches to Agent-based Complex Automated Negotiation Tipo de documento: documento electrónico Autores: Fujita, Katsuhide, ; Bai, Quan, ; Ito, Takayuki, ; Zhang, Minjie, ; Ren, Fenghui, ; AydoÄŸan, Reyhan, ; Hadfi, Rafik, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2017 Número de páginas: XI, 255 p. 87 ilustraciones, 67 ilustraciones en color. ISBN/ISSN/DL: 978-3-319-51563-2 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Inteligencia Computacional Inteligencia artificial Comercio electrónico Dinámica TeorÃas no lineales comercio electrónico y negocios electrónicos Sistemas Dinámicos Aplicados Clasificación: 006.3 Resumen: Este libro aborda varios aspectos importantes de las negociaciones automatizadas complejas e introduce una serie de enfoques modernos para facilitar que los agentes lleven a cabo negociaciones complejas. Demuestra que la negociación autónoma es una de las áreas más importantes en el campo de los agentes autónomos y los sistemas multiagente. Además, presenta escenarios de negociación automatizados complejos que involucran encuentros de negociación que pueden tener, por ejemplo, una gran cantidad de agentes, una gran cantidad de problemas con fuertes interdependencias y/o limitaciones de tiempo real. Nota de contenido: BiTrust: A Comprehensive Trust Management Model for Multi-agent Systems -- Using Reference Points for Competitive Negotiations in Service Composition -- A Cooperative Framework for Mediated Group Decision Making -- A CPN-Based Protocol for Concurrent Multiple Negotiation -- A Dependency-based Mediation Mechanism for Complex Negotiations -- Using graph properties and clustering techniques to select division mechanisms for scalable negotiations -- Compromising Strategy considering Interdependencies of Issues for Multi-issue Closed Nonlinear Negotiations. Tipo de medio : Computadora Summary : This book addresses several important aspects of complex automated negotiations and introduces a number of modern approaches for facilitating agents to conduct complex negotiations. It demonstrates that autonomous negotiation is one of the most important areas in the field of autonomous agents and multi-agent systems. Further, it presents complex automated negotiation scenarios that involve negotiation encounters that may have, for instance, a large number of agents, a large number of issues with strong interdependencies and/or real-time constraints. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Modern Approaches to Agent-based Complex Automated Negotiation [documento electrónico] / Fujita, Katsuhide, ; Bai, Quan, ; Ito, Takayuki, ; Zhang, Minjie, ; Ren, Fenghui, ; AydoÄŸan, Reyhan, ; Hadfi, Rafik, . - 1 ed. . - [s.l.] : Springer, 2017 . - XI, 255 p. 87 ilustraciones, 67 ilustraciones en color.
ISBN : 978-3-319-51563-2
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Inteligencia Computacional Inteligencia artificial Comercio electrónico Dinámica TeorÃas no lineales comercio electrónico y negocios electrónicos Sistemas Dinámicos Aplicados Clasificación: 006.3 Resumen: Este libro aborda varios aspectos importantes de las negociaciones automatizadas complejas e introduce una serie de enfoques modernos para facilitar que los agentes lleven a cabo negociaciones complejas. Demuestra que la negociación autónoma es una de las áreas más importantes en el campo de los agentes autónomos y los sistemas multiagente. Además, presenta escenarios de negociación automatizados complejos que involucran encuentros de negociación que pueden tener, por ejemplo, una gran cantidad de agentes, una gran cantidad de problemas con fuertes interdependencias y/o limitaciones de tiempo real. Nota de contenido: BiTrust: A Comprehensive Trust Management Model for Multi-agent Systems -- Using Reference Points for Competitive Negotiations in Service Composition -- A Cooperative Framework for Mediated Group Decision Making -- A CPN-Based Protocol for Concurrent Multiple Negotiation -- A Dependency-based Mediation Mechanism for Complex Negotiations -- Using graph properties and clustering techniques to select division mechanisms for scalable negotiations -- Compromising Strategy considering Interdependencies of Issues for Multi-issue Closed Nonlinear Negotiations. Tipo de medio : Computadora Summary : This book addresses several important aspects of complex automated negotiations and introduces a number of modern approaches for facilitating agents to conduct complex negotiations. It demonstrates that autonomous negotiation is one of the most important areas in the field of autonomous agents and multi-agent systems. Further, it presents complex automated negotiation scenarios that involve negotiation encounters that may have, for instance, a large number of agents, a large number of issues with strong interdependencies and/or real-time constraints. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Multi-agent and Complex Systems Tipo de documento: documento electrónico Autores: Bai, Quan, ; Ren, Fenghui, ; Fujita, Katsuhide, ; Zhang, Minjie, ; Ito, Takayuki, Mención de edición: 1 ed. Editorial: Singapore [Malasia] : Springer Fecha de publicación: 2017 Número de páginas: VIII, 210 p. 73 ilustraciones, 43 ilustraciones en color. ISBN/ISSN/DL: 978-981-10-2564-8 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Dinámica TeorÃas no lineales Inteligencia artificial Inteligencia Computacional Red de computadoras SociologÃa económica Sistemas Dinámicos Aplicados Redes de comunicación informática Clasificación: 515.39 Resumen: Este libro proporciona una descripción de tecnologÃas avanzadas de inteligencia artificial y multiagente para el modelado y simulación de sistemas complejos, asà como una descripción general de los últimos esfuerzos cientÃficos en este campo. Un sistema complejo presenta una gran cantidad de componentes que interactúan, cuyas actividades agregadas son no lineales y autoorganizadas. Un sistema multiagente es un grupo o sociedad de agentes que interactúan con otros de forma cooperativa y/o competitiva para alcanzar sus objetivos individuales o comunes. Los sistemas multiagente son adecuados para el modelado y simulación de sistemas complejos, lo cual es difÃcil de lograr utilizando enfoques computacionales tradicionales. Nota de contenido: 1.Adaptive Forwarder Selection for Distributed Wireless Sensor Networks -- 2.Trust Transference on Social Exchanges among Triads of Agents Based on Dependence Relations and Reputation -- 3.A Multiagent-Based Domain Transportation Approach for Optimal Resource Allocation in Emergency Management -- 4.A proto-type of a portable ad hoc simple water gauge and real world evaluation -- 5.Exploiting Vagueness for Multi-Agent Consensus 6.Selecting Robust Strategies Based on Abstracted Game Models -- 7.Simulating and Modeling Dual Market Segmentation Using PSA Framework -- 8.CORPNET: Towards a Decision Support System for Organizational Network Analysis using Multiplex Interpersonal Relations -- 9.Membership Function Based Matching Approach of Buyers and Sellers Through a Broker in Open E-Marketplace -- 10.The Effect of Assertiveness and Empathy on Heider's Balance Theory for Friendship Network Models information on submission -- 11.Associative Memory-based Approach to Multi-task Reinforcement Learning under Stochastic Environments -- 12.Preliminary Estimating Method of Opponent's Preferences using Simple Weighted Functions for Multi-lateral Closed Multi-issue Negotiations -- 13.Multi-Objective Nurse Rerostering Problem -- 14.Preference Aware Influence Maximization -- 15.Norm Emergence through Collective Learning and Information Diffusion in Complex Relationship Networks -- 16.Agent-Based Computation of Decomposition Games with Application in Software Requirements Decomposition. Tipo de medio : Computadora Summary : This book provides a description of advanced multi-agent and artificial intelligence technologies for the modeling and simulation of complex systems, as well as an overview of the latest scientific efforts in this field. A complex system features a large number of interacting components, whose aggregate activities are nonlinear and self-organized. A multi-agent system is a group or society of agents which interact with others cooperatively and/or competitively in order to reach their individual or common goals. Multi-agent systems are suitable for modeling and simulation of complex systems, which is difficult to accomplish using traditional computational approaches. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Multi-agent and Complex Systems [documento electrónico] / Bai, Quan, ; Ren, Fenghui, ; Fujita, Katsuhide, ; Zhang, Minjie, ; Ito, Takayuki, . - 1 ed. . - Singapore [Malasia] : Springer, 2017 . - VIII, 210 p. 73 ilustraciones, 43 ilustraciones en color.
ISBN : 978-981-10-2564-8
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Dinámica TeorÃas no lineales Inteligencia artificial Inteligencia Computacional Red de computadoras SociologÃa económica Sistemas Dinámicos Aplicados Redes de comunicación informática Clasificación: 515.39 Resumen: Este libro proporciona una descripción de tecnologÃas avanzadas de inteligencia artificial y multiagente para el modelado y simulación de sistemas complejos, asà como una descripción general de los últimos esfuerzos cientÃficos en este campo. Un sistema complejo presenta una gran cantidad de componentes que interactúan, cuyas actividades agregadas son no lineales y autoorganizadas. Un sistema multiagente es un grupo o sociedad de agentes que interactúan con otros de forma cooperativa y/o competitiva para alcanzar sus objetivos individuales o comunes. Los sistemas multiagente son adecuados para el modelado y simulación de sistemas complejos, lo cual es difÃcil de lograr utilizando enfoques computacionales tradicionales. Nota de contenido: 1.Adaptive Forwarder Selection for Distributed Wireless Sensor Networks -- 2.Trust Transference on Social Exchanges among Triads of Agents Based on Dependence Relations and Reputation -- 3.A Multiagent-Based Domain Transportation Approach for Optimal Resource Allocation in Emergency Management -- 4.A proto-type of a portable ad hoc simple water gauge and real world evaluation -- 5.Exploiting Vagueness for Multi-Agent Consensus 6.Selecting Robust Strategies Based on Abstracted Game Models -- 7.Simulating and Modeling Dual Market Segmentation Using PSA Framework -- 8.CORPNET: Towards a Decision Support System for Organizational Network Analysis using Multiplex Interpersonal Relations -- 9.Membership Function Based Matching Approach of Buyers and Sellers Through a Broker in Open E-Marketplace -- 10.The Effect of Assertiveness and Empathy on Heider's Balance Theory for Friendship Network Models information on submission -- 11.Associative Memory-based Approach to Multi-task Reinforcement Learning under Stochastic Environments -- 12.Preliminary Estimating Method of Opponent's Preferences using Simple Weighted Functions for Multi-lateral Closed Multi-issue Negotiations -- 13.Multi-Objective Nurse Rerostering Problem -- 14.Preference Aware Influence Maximization -- 15.Norm Emergence through Collective Learning and Information Diffusion in Complex Relationship Networks -- 16.Agent-Based Computation of Decomposition Games with Application in Software Requirements Decomposition. Tipo de medio : Computadora Summary : This book provides a description of advanced multi-agent and artificial intelligence technologies for the modeling and simulation of complex systems, as well as an overview of the latest scientific efforts in this field. A complex system features a large number of interacting components, whose aggregate activities are nonlinear and self-organized. A multi-agent system is a group or society of agents which interact with others cooperatively and/or competitively in order to reach their individual or common goals. Multi-agent systems are suitable for modeling and simulation of complex systems, which is difficult to accomplish using traditional computational approaches. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : PRIMA 2020: Principles and Practice of Multi-Agent Systems : 23rd International Conference, Nagoya, Japan, November 18–20, 2020, Proceedings / Tipo de documento: documento electrónico Autores: Uchiya, Takahiro, ; Bai, Quan, ; Marsá Maestre, Iván, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XIII, 430 p. 124 ilustraciones, 101 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-69322-0 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Informática TeorÃa de la Computación IngenierÃa de software Computadoras y Educación Aplicaciones informáticas y de sistemas de información Inteligencia artificial Procesamiento de datos Educación Application software TeorÃa de la información TeorÃa de la codificación TeorÃa de la codificación y la información Clasificación: 006.3 Resumen: Este libro constituye las actas arbitradas de la 23.ª Conferencia Internacional sobre Principios y Práctica de Sistemas Multiagente, PRIMA 2020, celebrada en Nagoya, Japón, en noviembre de 2020. Los 19 artÃculos completos presentados y los 13 artÃculos breves fueron cuidadosamente revisados ​​y seleccionados entre 50 presentaciones. Debido al COVID-19, la conferencia se realizó en lÃnea. La conferencia cubre una amplia gama, desde los fundamentos de la teorÃa de agentes y los aspectos de ingenierÃa de los sistemas de agentes, hasta áreas interdisciplinarias emergentes de investigación basada en agentes. Nota de contenido: Implementation of Real Data for Financial Market Simulation using Clustering, Deep Learning, and Artificial Financial Market -- Hybrid Dynamic Programming for Simultaneous Coalition Structure Generation and Assignment -- A Socio-Psychological Approach To Simulate Trust and Reputation in Modal Choices -- Reasoning about Trustworthiness in Cyber-Physical Systems Using Ontology-Based Representation and ASP -- Optimal Deterministic Time-based Policy in Automated Negotiation -- Agent Simulation of Collision Avoidance based on Meta-Strategy Model -- The Smart Appliance Scheduling Problem: A Bayesian Optimization Approach -- Distance-based Heuristic Solvers for Cooperative Path Planning with Heterogeneous Agents -- Policy Advisory Module for Exploration Hindrance Problem in Multi-agent Deep Reinforcement Learning -- Analysis of Coordination Structures of Partially Observing Cooperative Agents by Multi-Agent Deep Q-Learning -- Policy Adaptive Multi-Agent Deep Deterministic Policy Gradient -- Multi-Agent Planning with High-Level Human Guidance -- Preference Elicitation in Assumption-Based Argumentation -- Declarative Preferences in Reactive BDI Agents -- Predicting the Priority of Social Situations for Personal Assistant Agents -- Mutex Propagation for SAT-based Multi-Agent Path Finding -- A SMT-based Implementation for Safety Checking of Parameterized Multi-Agent Systems -- A Goal-Based Framework For Supporting Medical Assistance: The Case of Chronic Diseases -- Optimal Control of Pedestrian Flows by Congestion Forecasts Satisfying User Equilibrium Conditions -- Automated Negotiation Mechanism and Strategy for Compensational Vehicular Platooning -- A Cognitive Agent Framework in Information Retrieval: Using User Beliefs to Customize Results -- Deep Reinforcement Learning for Pedestrian Guidance -- NegMAS: A platform for automated negotiations -- Simulation of Unintentional Collusion Caused by Auto Pricing in Supply Chain Markets -- Construct an Artificial Population with Urban and Rural Population Differences Considered: to support long-term care system evaluation by agent-based simulation -- Multi-Agent Path Finding with Destination Choice -- Abductive Design of BDI Agent-based Digital Twins of Organizations -- Beliefs, Time and Space: A Language for the Ykai Board Game -- Argumentation-based Explanations of Multimorbidity Treatment Plans -- The Persistence of False Memory: Brain in a Vat despite Perfect Clocks -- Box-Office Prediction Based on Essential Features Extracted from Agent-Based Modeling -- Short Duration Aggregate Statistical Model Checking for Multi-Agent Systems. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 23rd International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2020, held in Nagoya, Japan, in November 2020. The 19 full papers presented and 13 short papers were carefully reviewed and selected from 50 submissions. Due to COVID-19, the conference was held online. The conference covers a wide range of ranging from foundations of agent theory and engineering aspects of agent systems, to emerging interdisciplinary areas of agent-based research. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] PRIMA 2020: Principles and Practice of Multi-Agent Systems : 23rd International Conference, Nagoya, Japan, November 18–20, 2020, Proceedings / [documento electrónico] / Uchiya, Takahiro, ; Bai, Quan, ; Marsá Maestre, Iván, . - 1 ed. . - [s.l.] : Springer, 2021 . - XIII, 430 p. 124 ilustraciones, 101 ilustraciones en color.
ISBN : 978-3-030-69322-0
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Informática TeorÃa de la Computación IngenierÃa de software Computadoras y Educación Aplicaciones informáticas y de sistemas de información Inteligencia artificial Procesamiento de datos Educación Application software TeorÃa de la información TeorÃa de la codificación TeorÃa de la codificación y la información Clasificación: 006.3 Resumen: Este libro constituye las actas arbitradas de la 23.ª Conferencia Internacional sobre Principios y Práctica de Sistemas Multiagente, PRIMA 2020, celebrada en Nagoya, Japón, en noviembre de 2020. Los 19 artÃculos completos presentados y los 13 artÃculos breves fueron cuidadosamente revisados ​​y seleccionados entre 50 presentaciones. Debido al COVID-19, la conferencia se realizó en lÃnea. La conferencia cubre una amplia gama, desde los fundamentos de la teorÃa de agentes y los aspectos de ingenierÃa de los sistemas de agentes, hasta áreas interdisciplinarias emergentes de investigación basada en agentes. Nota de contenido: Implementation of Real Data for Financial Market Simulation using Clustering, Deep Learning, and Artificial Financial Market -- Hybrid Dynamic Programming for Simultaneous Coalition Structure Generation and Assignment -- A Socio-Psychological Approach To Simulate Trust and Reputation in Modal Choices -- Reasoning about Trustworthiness in Cyber-Physical Systems Using Ontology-Based Representation and ASP -- Optimal Deterministic Time-based Policy in Automated Negotiation -- Agent Simulation of Collision Avoidance based on Meta-Strategy Model -- The Smart Appliance Scheduling Problem: A Bayesian Optimization Approach -- Distance-based Heuristic Solvers for Cooperative Path Planning with Heterogeneous Agents -- Policy Advisory Module for Exploration Hindrance Problem in Multi-agent Deep Reinforcement Learning -- Analysis of Coordination Structures of Partially Observing Cooperative Agents by Multi-Agent Deep Q-Learning -- Policy Adaptive Multi-Agent Deep Deterministic Policy Gradient -- Multi-Agent Planning with High-Level Human Guidance -- Preference Elicitation in Assumption-Based Argumentation -- Declarative Preferences in Reactive BDI Agents -- Predicting the Priority of Social Situations for Personal Assistant Agents -- Mutex Propagation for SAT-based Multi-Agent Path Finding -- A SMT-based Implementation for Safety Checking of Parameterized Multi-Agent Systems -- A Goal-Based Framework For Supporting Medical Assistance: The Case of Chronic Diseases -- Optimal Control of Pedestrian Flows by Congestion Forecasts Satisfying User Equilibrium Conditions -- Automated Negotiation Mechanism and Strategy for Compensational Vehicular Platooning -- A Cognitive Agent Framework in Information Retrieval: Using User Beliefs to Customize Results -- Deep Reinforcement Learning for Pedestrian Guidance -- NegMAS: A platform for automated negotiations -- Simulation of Unintentional Collusion Caused by Auto Pricing in Supply Chain Markets -- Construct an Artificial Population with Urban and Rural Population Differences Considered: to support long-term care system evaluation by agent-based simulation -- Multi-Agent Path Finding with Destination Choice -- Abductive Design of BDI Agent-based Digital Twins of Organizations -- Beliefs, Time and Space: A Language for the Ykai Board Game -- Argumentation-based Explanations of Multimorbidity Treatment Plans -- The Persistence of False Memory: Brain in a Vat despite Perfect Clocks -- Box-Office Prediction Based on Essential Features Extracted from Agent-Based Modeling -- Short Duration Aggregate Statistical Model Checking for Multi-Agent Systems. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 23rd International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2020, held in Nagoya, Japan, in November 2020. The 19 full papers presented and 13 short papers were carefully reviewed and selected from 50 submissions. Due to COVID-19, the conference was held online. The conference covers a wide range of ranging from foundations of agent theory and engineering aspects of agent systems, to emerging interdisciplinary areas of agent-based research. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
