Distributed Artificial Intelligence in Logistics, Supply Chains, Transportation, and Transport Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electrical and Autonomous Vehicles".
Deadline for manuscript submissions: closed (30 September 2021) | Viewed by 2847
Special Issue Editor
Interests: artificial intelligence; intelligent logistics; distributed planning; simulation; container terminal operations
Special Issue Information
Dear Colleagues,
New paradigm shifts in managing transport systems have been accelerated because of the COVID-19 pandemic. In this book, several papers are presented in which various facets of transportation are studied from the research area of Artificial Intelligence. Applied Artificial Intelligence offers many tantalizing opportunities for society to solve the ever-increasing challenges associated with rising global trade and increasing complexities characterizing many of today's modern transportation systems. The papers to be published are namely from the research area of Artificial Intelligence, such as Agent Based or Multi Agent Based Systems, Machine Learning, Genetic Algorithms, Neural Networks, and Smart Decision making. Types of problems that are found within the transportation domain are, for example, knowledge representation, learning, motion and manipulation, natural language processing, perception, planning, and social intelligence.
Topics of interest include but are not limited to the following:
- Artificial Intelligence, such as: Agent Based or Multi Agent Based Systems, Machine Learning, Genetic Algorithms, Neural Networks, and Smart Decision making
- knowledge representation, learning, motion and manipulation, natural language processing, perception, planning, and social intelligence
- Transportations systems, transport, logistics, supply chains, e-commerce, physical distribution
Dr. Lawrence E. Henesey
Guest Editor
Manuscript Submission Information
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Keywords
- Artificial Intelligence
- Agent Based or Multi Agent Based Systems
- machine learning
- genetic algorithms
- knowledge representation
- natural language processing
- planning and social intelligence
- transportation systems, transport
- logistics, supply chains
- e-commerce
- physical distribution
