The Multi-Agent Programming Contest 2019 [electronic resource] : Agents Assemble - Block by Block to Victory / edited by Tobias Ahlbrecht, Jürgen Dix, Niklas Fiekas, Tabajara Krausburg.
Contributor(s): Ahlbrecht, Tobias [editor.]
| Dix, Jürgen [editor.] | Fiekas, Niklas [editor.] | Krausburg, Tabajara [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Artificial Intelligence: 12381Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: VII, 151 p. 74 illus., 66 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030592998.Subject(s): Artificial intelligence | Computers, Special purpose | Computer networks | Application software | Coding theory | Information theory | Artificial Intelligence | Special Purpose and Application-Based Systems | Computer Communication Networks | Computer and Information Systems Applications | Coding and Information TheoryAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
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Springer Nature eBookSummary: This book constitutes the 14th edition of the annual Multi-Agent Programming Contest, MAPC 2019, and presents its participants. The 2019 scenario and all its changes from previous competitions are described in the first contribution, together with a brief description and analysis of the five participating teams and a closer look at the matches. It is followed by a contribution from each team, introducing their methods and tools used to create their agent team and analyzing their performance and the contest.
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This book constitutes the 14th edition of the annual Multi-Agent Programming Contest, MAPC 2019, and presents its participants. The 2019 scenario and all its changes from previous competitions are described in the first contribution, together with a brief description and analysis of the five participating teams and a closer look at the matches. It is followed by a contribution from each team, introducing their methods and tools used to create their agent team and analyzing their performance and the contest.
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