The Multi-Agent Programming Contest 2021 [electronic resource] : One-and-a-Half Decades of Exploring Multi-Agent Systems /

Contributor(s):

Material type: Text

TextSeries: Lecture Notes in Artificial Intelligence ; 12947Publisher: Cham : Springer International Publishing : Imprint: Springer, 2021Edition: 1st ed. 2021Description: VII, 159 p. 90 illus., 85 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783030885496

Subject(s):

Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

006.3 23

LOC classification:

Q334-342
TA347.A78

Online resources:

Click here to access online

Contents:

The 15th Multi-Agent Programming Contest: Assemble with care -- FIT BUT: Rational Agents in the Multi-Agent Programming Contest -- The 15th Edition of the Multi-Agent Programming Contest - The GOAL-DTU Team -- MLFC: From 10 to 50 Planners in the Multi-Agent Programming Contest -- The LTI-USP strategy to the 2020/2021 Multi-Agent Programming Contest -- JaCaMo Builders: Team Description for the Multi-Agent Programming Contest 2020/21.

In: Springer Nature eBookSummary: This book constitutes the 15th edition of the annual Multi-Agent Programming Contest, MAPC 2020. It gives an overview of the competition, describes the current scenario. Furthermore, it summarises this year's participants and their approaches and analyses some of the matches played and the contest as a whole. In the second part, each team contributed a paper describing their approach and experiences with creating a team of agents to participate in the contest. .

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This book constitutes the 15th edition of the annual Multi-Agent Programming Contest, MAPC 2020. It gives an overview of the competition, describes the current scenario. Furthermore, it summarises this year's participants and their approaches and analyses some of the matches played and the contest as a whole. In the second part, each team contributed a paper describing their approach and experiences with creating a team of agents to participate in the contest. .

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