Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Web Engineering |
| Untertitel | 20th International Conference, ICWE 2020, Proceedings |
| Herausgeber/-innen | Maria Bielikova, Tommi Mikkonen, Cesare Pautasso |
| Seiten | 277-292 |
| Seitenumfang | 16 |
| Publikationsstatus | Veröffentlicht - 10 Juni 2020 |
| Extern publiziert | Ja |
| Veranstaltung | 20th International Conference on Web Engineering, ICWE 2020 - Helsinki, Finnland Dauer: 9 Juni 2020 → 12 Juni 2020 |
Publikationsreihe
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Band | 12128 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (elektronisch) | 1611-3349 |
Abstract
This paper presents ARTEMIS, a control system for autonomous robots or software agents. ARTEMIS is able to create and capture artificial emotions during interactions with its environment, and we describe the underlying mechanisms for this. The control system also realizes the capturing of knowledge about its past artificial emotions. A specific interpretation of a knowledge graph, called an Agent Knowledge Graph, represents these artificial emotions. For this, we devise a formalism which enriches the traditional factual knowledge in knowledge graphs with the representation of artificial emotions. As proof of concept, we realize a concrete software agent based on the ARTEMIS control system. This software agent acts as a user assistant and executes the user’s orders. The environment of this user assistant consists of autonomous service agents. The execution of user’s orders requires interaction with these autonomous service agents. These interactions lead to artificial emotions within the assistant. The first experiments show that it is possible to realize an autonomous agent with plausible artificial emotions with ARTEMIS and to record these artificial emotions in its Agent Knowledge Graph. In this way, autonomous agents based on ARTEMIS can capture essential knowledge that supports successful planning and decision making in complex dynamic environments and surpass emotionless agents.
ASJC Scopus Sachgebiete
- Mathematik (insg.)
- Theoretische Informatik
- Informatik (insg.)
- Allgemeine Computerwissenschaft
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Web Engineering: 20th International Conference, ICWE 2020, Proceedings. Hrsg. / Maria Bielikova; Tommi Mikkonen; Cesare Pautasso. 2020. S. 277-292 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 12128 LNCS).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Creating and capturing artificial emotions in autonomous robots and software agents
AU - Hoffmann, Claus
AU - Vidal, Maria Esther
N1 - Funding information: We thank Christoph Lange from Fraunhofer Institute FIT for his valuable comments regarding our work. This work has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 822404 (QualiChain).
PY - 2020/6/10
Y1 - 2020/6/10
N2 - This paper presents ARTEMIS, a control system for autonomous robots or software agents. ARTEMIS is able to create and capture artificial emotions during interactions with its environment, and we describe the underlying mechanisms for this. The control system also realizes the capturing of knowledge about its past artificial emotions. A specific interpretation of a knowledge graph, called an Agent Knowledge Graph, represents these artificial emotions. For this, we devise a formalism which enriches the traditional factual knowledge in knowledge graphs with the representation of artificial emotions. As proof of concept, we realize a concrete software agent based on the ARTEMIS control system. This software agent acts as a user assistant and executes the user’s orders. The environment of this user assistant consists of autonomous service agents. The execution of user’s orders requires interaction with these autonomous service agents. These interactions lead to artificial emotions within the assistant. The first experiments show that it is possible to realize an autonomous agent with plausible artificial emotions with ARTEMIS and to record these artificial emotions in its Agent Knowledge Graph. In this way, autonomous agents based on ARTEMIS can capture essential knowledge that supports successful planning and decision making in complex dynamic environments and surpass emotionless agents.
AB - This paper presents ARTEMIS, a control system for autonomous robots or software agents. ARTEMIS is able to create and capture artificial emotions during interactions with its environment, and we describe the underlying mechanisms for this. The control system also realizes the capturing of knowledge about its past artificial emotions. A specific interpretation of a knowledge graph, called an Agent Knowledge Graph, represents these artificial emotions. For this, we devise a formalism which enriches the traditional factual knowledge in knowledge graphs with the representation of artificial emotions. As proof of concept, we realize a concrete software agent based on the ARTEMIS control system. This software agent acts as a user assistant and executes the user’s orders. The environment of this user assistant consists of autonomous service agents. The execution of user’s orders requires interaction with these autonomous service agents. These interactions lead to artificial emotions within the assistant. The first experiments show that it is possible to realize an autonomous agent with plausible artificial emotions with ARTEMIS and to record these artificial emotions in its Agent Knowledge Graph. In this way, autonomous agents based on ARTEMIS can capture essential knowledge that supports successful planning and decision making in complex dynamic environments and surpass emotionless agents.
KW - Agent Knowledge Graphs
KW - Artificial emotions
KW - Autonomous agents
UR - http://www.scopus.com/inward/record.url?scp=85087021912&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-50578-3_19
DO - 10.1007/978-3-030-50578-3_19
M3 - Conference contribution
AN - SCOPUS:85087021912
SN - 9783030505776
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 277
EP - 292
BT - Web Engineering
A2 - Bielikova, Maria
A2 - Mikkonen, Tommi
A2 - Pautasso, Cesare
T2 - 20th International Conference on Web Engineering, ICWE 2020
Y2 - 9 June 2020 through 12 June 2020
ER -