The importance of context-dependent learning in negotiation agents
Automated negotiation between arti cial agents is essential to deploy Cognitive Computing and Internet of Things. The behavior of a negotiating agent depends signi cantly on the in uence of environmental conditions or contextual variables, since they affect not only a given agent preferences and str...
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Autores principales: | , , , |
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Formato: | Objeto de conferencia |
Lenguaje: | Inglés |
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2018
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Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/70684 http://47jaiio.sadio.org.ar/sites/default/files/ASAI-01.pdf |
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I19-R120-10915-70684 |
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Universidad Nacional de La Plata |
institution_str |
I-19 |
repository_str |
R-120 |
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SEDICI (UNLP) |
language |
Inglés |
topic |
Ciencias Informáticas agents automated negotiation negotiation intelligence Internet of Things reinforcement learning |
spellingShingle |
Ciencias Informáticas agents automated negotiation negotiation intelligence Internet of Things reinforcement learning Kröhling, Dan Hernández, Federico Martínez, Ernesto Chiotti, Omar Juan Alfredo The importance of context-dependent learning in negotiation agents |
topic_facet |
Ciencias Informáticas agents automated negotiation negotiation intelligence Internet of Things reinforcement learning |
description |
Automated negotiation between arti cial agents is essential to deploy Cognitive Computing and Internet of Things. The behavior of a negotiating agent depends signi cantly on the in uence of environmental conditions or contextual variables, since they affect not only a given agent preferences and strategies, but also those of other agents.
Despite this, the existing literature on automated negotiation is scarce about how to properly account for the effect of context-relevant variables in learning and evolving strategies. In this paper, a novel context-driven representation for automated negotiation is proposed. Also, a simple negotiating agent that queries available information from its environment, internally models contextual variables, and learns how to take advantage of this knowledge by playing against himself using reinforcement learning is proposed. Through a set of episodes against negotiating agents in the existing literature, it is shown that it makes no sense to negotiate without taking context-relevant variables into account. The context-aware negotiating agent has been implemented in the GENIUS negotiation environment, and results obtained are signi cant and revealing. |
format |
Objeto de conferencia Objeto de conferencia |
author |
Kröhling, Dan Hernández, Federico Martínez, Ernesto Chiotti, Omar Juan Alfredo |
author_facet |
Kröhling, Dan Hernández, Federico Martínez, Ernesto Chiotti, Omar Juan Alfredo |
author_sort |
Kröhling, Dan |
title |
The importance of context-dependent learning in negotiation agents |
title_short |
The importance of context-dependent learning in negotiation agents |
title_full |
The importance of context-dependent learning in negotiation agents |
title_fullStr |
The importance of context-dependent learning in negotiation agents |
title_full_unstemmed |
The importance of context-dependent learning in negotiation agents |
title_sort |
importance of context-dependent learning in negotiation agents |
publishDate |
2018 |
url |
http://sedici.unlp.edu.ar/handle/10915/70684 http://47jaiio.sadio.org.ar/sites/default/files/ASAI-01.pdf |
work_keys_str_mv |
AT krohlingdan theimportanceofcontextdependentlearninginnegotiationagents AT hernandezfederico theimportanceofcontextdependentlearninginnegotiationagents AT martinezernesto theimportanceofcontextdependentlearninginnegotiationagents AT chiottiomarjuanalfredo theimportanceofcontextdependentlearninginnegotiationagents AT krohlingdan importanceofcontextdependentlearninginnegotiationagents AT hernandezfederico importanceofcontextdependentlearninginnegotiationagents AT martinezernesto importanceofcontextdependentlearninginnegotiationagents AT chiottiomarjuanalfredo importanceofcontextdependentlearninginnegotiationagents |
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Repositorios |
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