Introduction to Automated Negotiation
Fuente:
arXiv
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| Main Author: | |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | |
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| _version_ | 1866913021929979904 |
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| author | de Jonge, Dave |
| author_facet | de Jonge, Dave |
| contents | This book is an introductory textbook targeted towards computer science students who are completely new to the topic of automated negotiation. It does not require any prerequisite knowledge, except for elementary mathematics and basic programming skills.
This book comes with an simple toy-world negotiation framework implemented in Python that can be used by the readers to implement their own negotiation algorithms and perform experiments with them. This framework is small and simple enough that any reader who does not like to work in Python should be able to re-implement it very quickly in any other programming language of their choice. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_08659 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Introduction to Automated Negotiation de Jonge, Dave Multiagent Systems Artificial Intelligence Computer Science and Game Theory This book is an introductory textbook targeted towards computer science students who are completely new to the topic of automated negotiation. It does not require any prerequisite knowledge, except for elementary mathematics and basic programming skills. This book comes with an simple toy-world negotiation framework implemented in Python that can be used by the readers to implement their own negotiation algorithms and perform experiments with them. This framework is small and simple enough that any reader who does not like to work in Python should be able to re-implement it very quickly in any other programming language of their choice. |
| title | Introduction to Automated Negotiation |
| topic | Multiagent Systems Artificial Intelligence Computer Science and Game Theory |
| url | https://arxiv.org/abs/2511.08659 |