UID:
edoccha_9959767612102883
Format:
1 online resource (XVI, 388 p. 115 illus., 89 illus. in color.)
Edition:
1st ed. 2020.
ISBN:
981-13-8679-X
Series Statement:
Smart Innovation, Systems and Technologies, 148
Content:
This book highlights new trends and challenges in research on agents and the new digital and knowledge economy. It includes papers on business- process management, agent-based modeling and simulation, and anthropic-oriented computing, which were originally presented at the 13th International KES Conference on Agents and Multi-Agent Systems – Technologies and Applications (KES-AMSTA 2019) held June 17–19, 2019 at St George’s Bay, St. Julians, Malta. Today’s economy is driven by technologies and knowledge. Digital technologies can free, shift and multiply choices, and often intrude on the territory of other industries by providing new ways of conducting business operations and creating value for customers and companies. As such, the book covers topics such as software agents, multi-agent systems, agent modeling, mobile and cloud computing, big data analysis, business intelligence, artificial intelligence, social systems, computer embedded systems and nature inspired manufacturing, all of which contribute to the modern digital economy. The research presented is of value to researchers and industrial practitioners working in the fields of artificial intelligence, collective computational intelligence, innovative business models, the new digital and knowledge economy and, in particular, agent and multi-agent systems, technologies, tools and applications.
Note:
Enforcing Social Semantic in FIPA-ACL using SPIN -- An Agent-oriented Group Decision Architecture -- Context-Aware Service Orchestration in Smart Environments -- A Proposal of Evacuation Support System with Redundancy by Using Multiple Mobile Agents -- From Thing to Smart Thing: Towards An Architecture for Agent-Based AmI Systems -- Automatic Clustering of User Communities A System Architecture -- An Optimization Approach for Consensus in Multi-Agent Systems -- A Multi-agent Model for Cell Population -- Improving Water Allocation using Multi-Agent Negotiation Mechanisms -- A Multi-Agent System with Self-Optimization for Automated Clustering (MASAC) -- Web Literature, Authorship Attribution and Editorial workow Ontologies -- Multiagent complex system for identifying characteristics and personality types and their relationship in the student motivation process -- Towards a social simulator based on agents for management of the knowledge base for the strengthening of learning competences -- Use of Intelligent Agent through Low-Cost Brain-Computer-Interface to Analize Attention and Meditation Levels by Gender -- System development for automatic control using BCI -- Medical diagnostic through a mobile application controlled by brain waves: ConsultApp -- A Hierarchical Agent Decision Support Model and Its Clinical Application -- Comparative Study of Bio-Inspired Algorithms Applied to Illumination Optimization in an Ambient Intelligent Environments -- Towards a model of management processes to support or increase the competitiveness of a university professor -- An Agent-based Infectious Disease Model of Rubella outbreaks -- Analysis of the Eect of Financial Regulation on Market Collapse Process in Financial Network -- Causal Analysis of the Eect on Performance of Start-ups from External Supporting Activities -- Analysis of workstyle and self-learning to raise human capital -- Study on Popularization of QR code settlement in Japan -- Modeling a Multi-Agent Self-Organizing Architecture in MATSim -- Coupling multi-agent and macroscopic simulatorsof traffic -- A Multi-Agent System for Real-time Ride-sharing in Congested Networks -- Dynamically congurable Multi-Agent Simulation for Crisis Management -- Messaged Multi-agent System as a Tool for Strengthening Innovative Capabilities of Business Models -- Information Modelling of the Storage-Distribution System -- JADE Modeling for Generic Microgrids.
Additional Edition:
ISBN 981-13-8678-1
Language:
English
DOI:
10.1007/978-981-13-8679-4
