Exploring adaptive agency II: simulating the evolution of associative learning
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
Simulating the evolution of language
Simulating the evolution of language
Natural language from artificial life
Artificial Life
Establishing Communication Systems without Explicit Meaning Transmission
ECAL '01 Proceedings of the 6th European Conference on Advances in Artificial Life
Imitation or something simpler? modeling simple mechanisms for social information processing
Imitation in animals and artifacts
Embodiment of Evolutionary Computation in General Agents
Evolutionary Computation
Social learning in embodied agents
Connection Science - Social Learning in Embodied Agents
Joint attention and language evolution
Connection Science - Social Learning in Embodied Agents
The emergence of compositional structures in perceptually grounded language games
Artificial Intelligence - Special volume on connecting language to the world
Editorial: Language Evolution: Computer Models for Empirical Data
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
The emergence of social learning in artificial societies
EvoWorkshops'03 Proceedings of the 2003 international conference on Applications of evolutionary computing
Group size effects on the emergence of compositional structures in language
ECAL'07 Proceedings of the 9th European conference on Advances in artificial life
Origins of communication in evolving robots
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
Unify and merge in fluid construction grammar
EELC'06 Proceedings of the Third international conference on Emergence and Evolution of Linguistic Communication: symbol Grounding and Beyond
IEEE Transactions on Evolutionary Computation
Learning Classifier System Ensembles With Rule-Sharing
IEEE Transactions on Evolutionary Computation
Accelerating evolution via egalitarian social learning
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Multiagent learning through neuroevolution
WCCI'12 Proceedings of the 2012 World Congress conference on Advances in Computational Intelligence
| Hi-index | 0.01 |
We present a model of social learning of both language and skills, while assuming-insofar as possible-strict autonomy, virtual embodiment, and situatedness. This model is built by integrating various previous models of language development and social learning, and it is this integration that, under the mentioned assumptions, provides novel challenges. The aim of the article is to investigate what sociocognitive mechanisms agents should have in order to be able to transmit language from one generation to the next so that it can be used as a medium to transmit internalized rules that represent skill knowledge. We have performed experiments where this knowledge solves the familiar poisonous-food problem. Simulations reveal under what conditions, regarding population structure, agents can successfully solve this problem. In addition to issues relating to perspective taking and mutual exclusivity, we show that agents need to coordinate interactions so that they can establish joint attention in order to form a scaffold for language learning, which in turn forms a scaffold for the learning of rule-based skills. Based on these findings, we conclude by hypothesizing that social learning at one level forms a scaffold for the social learning at another, higher level, thus contributing to the accumulation of cultural knowledge.