Develop an AI engine of strategic economic games in order to get the momentum and improve the interaction of NPC players (Q80119): Difference between revisions
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(Created claim: summary (P836): Reference_reference_programme_aids:SA.41471 (2015/X) _public:Article 25 of Commission Regulation (EC) No 651/2014 of 17 June 2014 declaring certain categories of aid compatible with the internal market in the application of Article 107 and 108 of the Treaty (OJ(OJ LEU L 187/1, 26.06.2014).The aim of the project is to design and implement an artificial intelligence engine capable of providing a realistic playing field for strategic games — MAS4SE...) |
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| Property / summary | |||
Reference_reference_programme_aids:SA.41471 (2015/X) _public:Article 25 of Commission Regulation (EC) No 651/2014 of 17 June 2014 declaring certain categories of aid compatible with the internal market in the application of Article 107 and 108 of the Treaty (OJ(OJ LEU L 187/1, 26.06.2014).The aim of the project is to design and implement an artificial intelligence engine capable of providing a realistic playing field for strategic games — MAS4SEG (Multi-Agent System for Strategic Economic Game).The novelty of the SI engine in the project concerns the use of the MAS system in order to ensure a new quality of diplomacy in strategic games.The system will operate at several levels, including both agent agent and agent.First of all, as the negotiations are linked to the economy and business, the SI engine needs to “understand” the economic issues.An entity that is managed by the NPC, such as a country or a nation, has been divided into 7 functional economic modules, which will act as elements of a multi-agent system that jointly aim to obtain the best results (including in negotiations with counterparties).These modules will be responsible for:(1) diplomacy, (2) investment, (3) micro-economic issues, (4) macroeconomic issues, (5) social policies, (6) spatial interdependencies, and (7) military actions.Acting together, a multi-agent system will set up a team of which the people or other NPC will be opposed.In these relations, a multi-agent scheme will negotiate a self-cured (self-governed agent).The multi-agent system will allow dividing the variables into smaller subsystems — functional game modules.Each module will be an agent with an own SI engine (based on Monte Carlo Tree Search and/or artificial neural networks and/or utility IA and/or bright operations) and will cooperate with other agents (other modules) to reach a common value function. (English) | |||
| Property / summary: Reference_reference_programme_aids:SA.41471 (2015/X) _public:Article 25 of Commission Regulation (EC) No 651/2014 of 17 June 2014 declaring certain categories of aid compatible with the internal market in the application of Article 107 and 108 of the Treaty (OJ(OJ LEU L 187/1, 26.06.2014).The aim of the project is to design and implement an artificial intelligence engine capable of providing a realistic playing field for strategic games — MAS4SEG (Multi-Agent System for Strategic Economic Game).The novelty of the SI engine in the project concerns the use of the MAS system in order to ensure a new quality of diplomacy in strategic games.The system will operate at several levels, including both agent agent and agent.First of all, as the negotiations are linked to the economy and business, the SI engine needs to “understand” the economic issues.An entity that is managed by the NPC, such as a country or a nation, has been divided into 7 functional economic modules, which will act as elements of a multi-agent system that jointly aim to obtain the best results (including in negotiations with counterparties).These modules will be responsible for:(1) diplomacy, (2) investment, (3) micro-economic issues, (4) macroeconomic issues, (5) social policies, (6) spatial interdependencies, and (7) military actions.Acting together, a multi-agent system will set up a team of which the people or other NPC will be opposed.In these relations, a multi-agent scheme will negotiate a self-cured (self-governed agent).The multi-agent system will allow dividing the variables into smaller subsystems — functional game modules.Each module will be an agent with an own SI engine (based on Monte Carlo Tree Search and/or artificial neural networks and/or utility IA and/or bright operations) and will cooperate with other agents (other modules) to reach a common value function. (English) / rank | |||
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Revision as of 09:03, 4 March 2020
Project in Poland financed by DG Regio
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Develop an AI engine of strategic economic games in order to get the momentum and improve the interaction of NPC players |
Project in Poland financed by DG Regio |
Statements
2,933,138.4 zloty
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3,842,322.75 zloty
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76.34 percent
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1 March 2018
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28 February 2021
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DOJI S.A.
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52°24'2.2"N, 16°55'11.3"E
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Numer_referencyjny_programu_pomocowego: SA.41471(2015/X) Przeznaczenie_pomocy_publicznej: art. 25 rozporządzenia KE nr 651/2014 z dnia 17 czerwca 2014 r. uznające niektóre rodzaje pomocy za zgodne z rynkiem wewnętrznym w stosowaniu art. 107 i 108 Traktatu (Dz. Urz. UE L 187/1 z 26.06.2014). Celem projektu jest zaprojektowanie i wdrożenie silnika sztucznej inteligencji, zapewniającego realistyczną rozgrywkę w ekonomicznych grach strategicznych - MAS4SEG (Multi-Agent System for Strategic Economic Game). Nowość silnika SI w projekcie dotyczy zastosowania systemu MAS (multi-agent system) w celu zapewnienia nowej jakości dyplomacji w grach strategicznych. System będzie działał na kilku poziomach, w tym zarówno agent-agent, jak i human-agent. Przede wszystkim, ponieważ negocjacje są związane z gospodarką i biznesem, silnik SI musi "rozumieć" kwestie ekonomiczne. Jednostka, którą zarządza NPC, np. kraj lub naród została podzielona na 7 funkcjonalnych modułów ekonomicznych, które będą działać jako elementy systemu wieloagentowego, którzy wspólnie dążą do uzyskania najlepszych wyników (także w negocjacjach z kontrahentami). Moduły te będą odpowiedzialne za: 1) dyplomację, 2) inwestycje, 3) kwestie mikroekonomiczne, 4) kwestie makroekonomiczne, 5) politykę społeczną, 6) współzależności przestrzenne, oraz 7) działania wojskowe. Działając wspólnie, system wieloagentowy stworzy zespół, którego przeciwnikiem będą ludzie lub inne NPC. W tych relacjach system wieloagentowy będzie prowadził negocjacje samolubne (self-interested agent-agent relations). System wieloagentowy pozwoli na podzielenie przestrzeni zmiennych na mniejsze podsystemy - funkcjonalne moduły gry. Każdy moduł będzie agentem posiadającym własny silnik SI (działający na podstawie Monte Carlo Tree Search lub /i sztucznych sieci neuronowych i/lub Utility IA i/lub behaviour trees) i będzie współpracował z innymi agentami (innymi modułami) aby osiągnąć wspólną funkcję wartości. (Polish)
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Reference_reference_programme_aids:SA.41471 (2015/X) _public:Article 25 of Commission Regulation (EC) No 651/2014 of 17 June 2014 declaring certain categories of aid compatible with the internal market in the application of Article 107 and 108 of the Treaty (OJ(OJ LEU L 187/1, 26.06.2014).The aim of the project is to design and implement an artificial intelligence engine capable of providing a realistic playing field for strategic games — MAS4SEG (Multi-Agent System for Strategic Economic Game).The novelty of the SI engine in the project concerns the use of the MAS system in order to ensure a new quality of diplomacy in strategic games.The system will operate at several levels, including both agent agent and agent.First of all, as the negotiations are linked to the economy and business, the SI engine needs to “understand” the economic issues.An entity that is managed by the NPC, such as a country or a nation, has been divided into 7 functional economic modules, which will act as elements of a multi-agent system that jointly aim to obtain the best results (including in negotiations with counterparties).These modules will be responsible for:(1) diplomacy, (2) investment, (3) micro-economic issues, (4) macroeconomic issues, (5) social policies, (6) spatial interdependencies, and (7) military actions.Acting together, a multi-agent system will set up a team of which the people or other NPC will be opposed.In these relations, a multi-agent scheme will negotiate a self-cured (self-governed agent).The multi-agent system will allow dividing the variables into smaller subsystems — functional game modules.Each module will be an agent with an own SI engine (based on Monte Carlo Tree Search and/or artificial neural networks and/or utility IA and/or bright operations) and will cooperate with other agents (other modules) to reach a common value function. (English)
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Identifiers
POIR.01.02.00-00-0188/17
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