Get Free Shipping on orders over $79
Interactions in Multiagent Systems : Fairness, Social Optimality and Individual Rationality - Jianye Hao

Interactions in Multiagent Systems

Fairness, Social Optimality and Individual Rationality

By: Jianye Hao, Ho-fung Leung

eText | 13 April 2016

At a Glance

eText


$209.00

or 4 interest-free payments of $52.25 with

 or 

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

This book mainly aims at solving the problems in both cooperative and competitive multi-agent systems (MASs), exploring aspects such as how agents can effectively learn to achieve the shared optimal solution based on their local information and how they can learn to increase their individual utility by exploiting the weakness of their opponents. The book describes fundamental and advanced techniques of how multi-agent systems can be engineered towards the goal of ensuring fairness, social optimality, and individual rationality; a wide range of further relevant topics are also covered both theoretically and experimentally. The book will be beneficial to researchers in the fields of multi-agent systems, game theory and artificial intelligence in general, as well as practitioners developing practical multi-agent systems.

on
Desktop
Tablet
Mobile

More in Artificial Intelligence

AI-Powered Search - Trey Grainger

eBOOK

HBR Guide to Generative AI for Managers : HBR Guide - Elisa Farri

eBOOK

AI : The End of Human Race - Alex Wood

eBOOK