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Abstract
The question of how an effective and efficient communication system can emerge in a population of agents that need to solve a particular task attracts more and more attention from researchers in many fields, including artificial intelligence, linguistics and statistical physics. A common methodology for studying this question consists in carrying out multi-agent experiments in which a population of agents takes part in a series of scripted and task-oriented communicative interactions, called `language games'.
While each individual language game is typically played by two agents in the population, a large series of games allows the population to converge on a shared communication system.
Setting up an experiment in which a rich system for communicating about the real world emerges, is a major enterprise, as it requires a variety of software components for running multi-agent experiments, for interacting with sensors and actuators, for conceptualising and interpreting semantic structures, and for mapping between these semantic structures and linguistic utterances. The aim of this paper is twofold. On the one hand, it introduces a high-level robot interface that extends the Babel software system, presenting for the first time a toolkit that provides flexible modules for dealing with each subtask involved in running advanced grounded language game experiments. On the other hand, it provides a practical guide to using the toolkit for implementing such experiments, taking a grounded colour naming game experiment as a didactic example.
While each individual language game is typically played by two agents in the population, a large series of games allows the population to converge on a shared communication system.
Setting up an experiment in which a rich system for communicating about the real world emerges, is a major enterprise, as it requires a variety of software components for running multi-agent experiments, for interacting with sensors and actuators, for conceptualising and interpreting semantic structures, and for mapping between these semantic structures and linguistic utterances. The aim of this paper is twofold. On the one hand, it introduces a high-level robot interface that extends the Babel software system, presenting for the first time a toolkit that provides flexible modules for dealing with each subtask involved in running advanced grounded language game experiments. On the other hand, it provides a practical guide to using the toolkit for implementing such experiments, taking a grounded colour naming game experiment as a didactic example.
Original language | English |
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Title of host publication | AISB Language Learning for Artificial Agents Symposium |
Pages | 1-8 |
Number of pages | 8 |
Publication status | Published - 5 Sep 2019 |
Event | Artificial Intelligence and Simulation of Behaviour - Falmouth, United Kingdom Duration: 15 Apr 2019 → 19 Apr 2019 http://aisb2019.falmouthgamesacademy.com |
Conference
Conference | Artificial Intelligence and Simulation of Behaviour |
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Abbreviated title | AISB |
Country/Territory | United Kingdom |
City | Falmouth |
Period | 15/04/19 → 19/04/19 |
Internet address |
Fingerprint
Dive into the research topics of 'A Practical Guide to Studying Emergent Communication through Grounded Language Games'. Together they form a unique fingerprint.Projects
- 1 Finished
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FWOAL785: Artificial Language Understanding in Robots (ATLANTIS)
1/12/15 → 30/11/18
Project: Fundamental
Activities
- 1 Talk or presentation at a conference
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A Practical Guide to Studying Emergent Communication using Grounded Language Games
Jens Nevens (Speaker)
17 Apr 2019Activity: Talk or presentation › Talk or presentation at a conference