Language

We investigate ways in which artificial agents can self-organize languages with natural-language like properties and how meaning can co-evolve with language. Our research is based on the hypothesis that language is a complex adaptive system that emerges through adaptive interactions between agents and continues to evolve in order to remain adapted to the needs and capabilities of the agents. We explore this hypothesis by implementing the full cycle of speaker and hearer as they play situated language games and observing the characteristics of the languages that emerge.

Language faculty sub-systems

Background: Our Vision, www.fcg-net.orgwww.emergent-languages.orgLuc Steels at Tedx Brussels

Additional funding: ALEARECAgents

Members: Luc Steels, Vanessa Micelli, Michael Spranger, Remi van Trijp, Kateryna Gerasymova, Simon Pauw

Case grammar experiment

The case grammar experiment investigates how a population of autonomous artificial agents can self-organize a grammatical language that features similar properties as those found in case-languages such as Latin, German and Turkish. The case grammar experiment is the most advanced experiment in artificial language evolution to date: it is the first multi-agent experiment ever that features multifunctional, polysemous grammatical categories as opposed to other experiments in the field in which the agents always converge on one-to-one mappings.

In the experiment, the agents have to describe dynamic real-world scenes to each other (click here to see an example movie). Starting with a lexicon but without grammar, the agents gradually start to introduce case markers in order to reduce the cognitive load they need for interpreting sentences. For example, an utterance such as boy girl pushed is ambiguous as to whom did what to whom, so the hearer has to witness the scene to find the correct meaning. Adding more grammar could thus avoid this effort by directing the hearer to the correct interpretation. For example, in the utterance boy-bo girl-ka push, the grammatical markers can be used for indicating that the girl was being pushed and that the boy was the pusher.

Through analogical reasoning over event structures, agents can then generalize these markers to become more abstract. In the experiments, we typically see the emergence of agent-like and patient-like case markers, as in the following sentences:

  1. jack-fuitap walk-to jill-ginah
    Lit.: jack-sem-role-6 walk-to jill-sem-role-26
    ‘Jack walks to Jill.’
  2. touch jill-fuitap house-payis
    Lit.: touch jill-sem-role-6 house-sem-role-29
    ‘Jill touches the house.’
  3. house-woechen move-inside boy-fuitap
    Lit.: house-sem-role-10 move-inside boy-sem-role-6
    ‘The boy moves inside the house.’

Team: Luc Steels, Remi van Trijp

Grounded Emergent Semantics

Our experiments require that the agents are fully grounded in the world through a sensori-motor apparatus and that they can conceptualise the world. So we are carrying out research into vision and motor control to build up and maintain world models usable by the language systems, and we are developing a framework called IRL for the automated planning of complex conceptualisations. IRL has been released through emergent-languages.org

Team: Michael Spranger

Collaboration: Joris Bleys (VUB), Martin Loetzsch

Fluid Construction Grammar

In order to conduct experiments in language evolution it was necessary to develop a solid flexible formalism for the representation of linguistic knowledge and for orchestrating the parsing, production and learning processes necessary for language interaction. In collaboration with the VUB AI laboratory we have developed Fluid Construction Grammar (FCG). FCG is within the tradition of feature structure based, unification oriented grammars. It has some unusual features including bidirectionality, scoring of rules, and special operators (particularly the J-operator) for dealing with hierarchy. FCG is fully operational and can be downloaded from www.fcg-net.org.

Collaboration: VUB AI LAB (Joachim De Beule, Joris Bleys, Pieter Wellens, Martin Loetzsch)