GroundForce
Financiado
GroundForce Grounding Natural Language Semantics in Video Games
"While language is a natural way to interact with artificial characters
or agents in video games, communication with agents currently tends to
be limited to menu systems. To achieve smooth linguistic
communication, utterances need...
"While language is a natural way to interact with artificial characters
or agents in video games, communication with agents currently tends to
be limited to menu systems. To achieve smooth linguistic
communication, utterances need to be grounded in the situation in
which they occur. That is, the meanings of utterances must be learned
from observing their use in some naturally occurring perceptual
context. Recent years have seen much progress in the development of
visually- or auditorily-grounded language understanding using novel
machine learning techniques such as deep learning. At the same time,
companies like Google DeepMind have introduced deep learning models
that can learn to play games at super-human levels. We propose to take
this research to the next step, by grounding natural language in video
games.
Grounding natural language in video games yields two main
benefits. The first benefit is commercial in nature: with the global
market for video games expected to reach $100 billion by 2017, there
is clearly a large demand for more sophisticated interaction with
in-game agents. Secondly, video games are a natural way to explore
artificial intelligence techniques in a ""simulated"" world that is
easier to understand computationally than the extremely complicated
""real"" world.
The current project will explore natural language grounding in a small
number of appropriate games. Once we are capable of grounding natural
language in these games, we can translate utterances into
straightforward actions for artificial agents. An example might be
telling your team members to follow you, to take the left flank, or to
duck when they are being shot at. Given the recent developments in
machine learning and grounded language understanding, we believe that
now is the perfect moment to explore these possibilities further.
"
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Duración del proyecto: 20 meses
Fecha Inicio: 2016-07-11
Fecha Fin: 2018-03-31
Fecha Fin: 2018-03-31
Línea de financiación: concedida
El organismo H2020 notifico la concesión del proyecto el día 2018-03-31
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
ERC-PoC-2015:
ERC Proof of Concept Grant
Cerrada
hace 9 años
Presupuesto
El presupuesto total del proyecto asciende a
150K€
Líder del proyecto
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Perfil tecnológico
TRL
4-5
Perfil tecnológico
TRL
4-5
501.78K€ |
Participante