Cantitate/Preț
Produs
Total produse
Vezi coșul
Agents and Artificial Intelligence de Ana Paula Rocha

Agents and Artificial Intelligence: Lecture Notes in Computer Science, cartea 13251

Editat de Ana Paula Rocha, Luc Steels, Jaap van den Herik
en Limba Engleză Paperback – 20 iul 2022
This book constitutes selected papers from the refereed proceedings of the 13th International Conference on Agents and Artificial Intelligence, ICAART 2021, which was held online during February 4–6, 2021.

A total of 72 full and 99 short papers were carefully reviewed and selected for the conference from a total of 298 submissions; 17 selected full papers are included in this book. They were organized in topical sections named agents and artificial intelligence.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (7) 32525 lei  6-8 săpt.
  Springer – 20 iul 2022 32525 lei  6-8 săpt.
  Springer – 15 dec 2019 32647 lei  6-8 săpt.
  Springer – 14 mar 2021 33362 lei  6-8 săpt.
  Springer – 20 ian 2023 34672 lei  6-8 săpt.
  Springer – 29 apr 2025 44644 lei  39-44 zile
  Springer – 15 mar 2024 52504 lei  6-8 săpt. +6840 lei  7-13 zile
  Springer – 26 apr 2025 72531 lei  39-44 zile

Din seria Lecture Notes in Computer Science

Preț: 32525 lei

Preț vechi: 40656 lei
-20%

Puncte Express: 488
Preț estimativ în valută:
5753€ • 6619$ • 4968£

Carte tipărită la comandă

Livrare economică 30 aprilie-14 mai

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă

Specificații

ISBN-13: 9783031101601
ISBN-10: 303110160X
Pagini: 360
Ilustrații: XIV, 341 p. 143 illus., 89 illus. in color.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.55 kg
Ediția:1st edition 2022
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

​Agents.- Specification Aware Multi-Agent Reinforcement Learning.- Task Bundle Delegation for Reducing the Flowtime.- A Detailed Analysis of a Systematic Review about Requirements Engineering Processes for Multi-Agent Systems.- Automatically-generated Agent Organizations for Flexible Workflow Enactment.- Negotiation Considering Privacy Loss on Asymmetric Multi-objective Decentralized Constraint Optimization Problem.- Artificial Intelligence.- Utilizing Out-domain Datasets to Enhance Multi-task Citation Analysis.- Using Possibilistic Networks to Compute Learning Course Indicators.- Assured Deep Multi-Agent Reinforcement Learning for Safe Robotic Systems.-  How to Segment Handwritten Historical Chronicles using Fully Convolutional Networks?.- On the Relationship with Toulmin Method to Logic-based Argumentation.- Informer: An efficient Transformer Architecture using Convolutional Layers.- Improving the Generalization of Deep Learning Classification Models in Medical Imaging using Transfer Learning and Generative Adversarial Networks.- An Interpretable Word Sense Classifier for Human Explainable Chatbot.- A Tsetlin Machine Framework for Universal Outlier and Novelty Detection.- Adding Supply/Demand Imbalance-sensitivity to Simple Automated Trader-agents.- Advances in Measuring Inflation within Virtual Economies using Deep Reinforcement Learning.- Practical City Scale Stochastic Path Planning with Pre-computation.