This book introduces the main concepts and techniques of multi-agent oriented programming, (MAOP) which supports the multi-agent systems paradigm at the programming level. MAOP provides a structured approach based on three integrated dimensions, which the book examines in detail: the agent dimension, used to design the individual (interacting) entities; the environment dimension, which allows the development of shared resources and connections to the real world; and the organization dimension, which structures the interactions among the autonomous agents and the shared environment.
The book puts the approach into practice using the JaCaMo programming model and platform. It employs an easy-to-follow, step-by-step style, showing solutions to increasingly complex scenarios. The book also discusses the integration of MAOP into existing technologies and application domains, including mobile computing, web-based computing, and robotics.
Finally, it considers artificial intelligence (AI)–related classical problems from an MAOP perspective and discusses an agent-oriented approach to software engineering.
Format Inbunden Omfång 264 sidor Språk Engelska Förlag MIT Press Ltd Utgivningsdatum 2020-09-15 ISBN 9780262044578 ","url":"https://cdon.se/produkt/multi-agent-oriented-programming-inbunden-eng-7a144f9251065a66/","image":"https://cdn.cdon.com/media-dynamic/images/product/cloud/store/PrintBooks/000/174/945/410/174945410-308481092-11453-org.jpg?cache=133706932315697650","sku":"117273730","gtin":"9780262044578","brand":{"@type":"Brand","name":""},"offers":{"@type":"Offer","url":"https://cdon.se/produkt/multi-agent-oriented-programming-inbunden-eng-7a144f9251065a66/","priceCurrency":"SEK","price":719,"priceValidUntil":"2025-08-08T23:59:59.999+00:00","itemCondition":"https://schema.org/NewCondition","availability":"https://schema.org/InStock","seller":{"@type":"Organization","name":"CDON"},"shippingDetails":{"@id":"#shipping_policy","@type":"OfferShippingDetails","deliveryTime":{"@type":"ShippingDeliveryTime","handlingTime":{"@type":"QuantitativeValue","minValue":0,"maxValue":1,"unitCode":"DAY"},"transitTime":{"@type":"QuantitativeValue","minValue":7,"maxValue":8,"unitCode":"DAY"}}}}}