The general question addressed in this book "How can human organizational principles be used for multi-agent architectures?" is answered by an exploration of the possibilities to design multi-agent systems as artificial organizations. Key topics of this book: - a framework for multi-agent system design, based on human organizational notions and principles for distributed intelligent systems design - "Coordination mechanisms" in the form of "Problem Solving Methods", which can assist "Managers" and agent engineers in reasoning about coordination - the "Five Capabilities (5C) model" which is a conceptual framework bases on a generalization of typical agent intelligence competences, such as "autonomy", "interaction", "pro-activeness" and "reactiveness" - a multi-agent architecture capable of (semi)automatic reuse of Problem Solving Methods - "Ontology-based communication", in which the meaning and intention of message contents in agent communication is specified in "message content ontologies".
Organizational Principles for Multi-Agent Architectures
and over one million other books are available for Amazon Kindle.
Learn more
| ||||||||||||||||||
Book Description
Product Details
Would you like to update product info or give feedback on images?
|
More About the Author
Discover books, learn about writers, read author blogs, and more.
Customer Reviews
|
There are no customer reviews yet.
|
|||
|
Video reviews
|
Inside This Book
(learn more)
First Sentence:
In this work, we develop a framework for the design of multi-agent systems inspired by (human) organizational principles. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
law services broker, personal law assistant, message content ontologies, message content ontology, ontology mapping file, performative ontology, organizational design activities, ontology handling, broker space, agent interoperation, paying bureau, platform life cycle, configuration life cycle, green card number, execution life cycle, meta ontology, operator negotiation, planner model, task instantiations, agent console, handling bureau, protocol ontology, execution space, communication ontologies, specialized ontologies Key Phrases - Capitalized Phrases (CAPs): (learn more)
Mutual Adjustment, Professional Bureaucracy, Machine Bureaucracy, Minimal Ontology, Bean Generator, Ivan Aart, Paolo Conte, Agent Management Ontology, Call For Proposal, Knowledge-Model Language, Contract Net New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
In this work, we develop a framework for the design of multi-agent systems inspired by (human) organizational principles. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
law services broker, personal law assistant, message content ontologies, message content ontology, ontology mapping file, performative ontology, organizational design activities, ontology handling, broker space, agent interoperation, paying bureau, platform life cycle, configuration life cycle, green card number, execution life cycle, meta ontology, operator negotiation, planner model, task instantiations, agent console, handling bureau, protocol ontology, execution space, communication ontologies, specialized ontologies Key Phrases - Capitalized Phrases (CAPs): (learn more)
Mutual Adjustment, Professional Bureaucracy, Machine Bureaucracy, Minimal Ontology, Bean Generator, Ivan Aart, Paolo Conte, Agent Management Ontology, Call For Proposal, Knowledge-Model Language, Contract Net New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 18
books:
See all 18 books this book cites
- Speech Acts: An Essay in the Philosophy of Language by John R. Searle on page 79, and page 146
- Problem Solving Methods by J. Siekmann in Back Matter (1), and Back Matter (2)
- Software Agents by Jeffrey M. Bradshaw in Back Matter (1), and Back Matter (2)
- Distributed Artificial Intelligence: Volume II (Research Notes in Artificial Intelligenc) by Les Gasser on page 2, and Back Matter
- in Back Matter
See all 18 books this book cites
Books on Related Topics
(learn more)
|
Tag this product(What's this?)Think of a tag as a keyword or label you consider is strongly related to this product.
Tags will help all customers organize and find favorite items. |
