This paper presents work on modelling the social psychological aspect of socialization in the case of a computationally creative master-apprentice system. In each master-apprentice pair, the master, a genetic algorithm, is seen as a parent for its apprentice, which is an NMT based sequence-to-sequence model. The effect of different parenting styles on the creative output of each pair is in the focus of this study. This approach brings a novel view point to computational social creativity, which has mainly focused in the past on computationally creative agents being on a socially equal level, whereas our approach studies the phenomenon in the context of a social hierarchy.
Research on an agent community consisting of self-organizing maps @cite_14 , although outside of the computational creativity paradigm, presents a way of simulating the emergence of language. The agents are capable of meaning negotiation and converging into a common language to communicate about edibility of different food items in their shared world.
@cite_14
2187002499
In this article, we present a model of a cognitive system, or an agent, with the following properties: it can perceive its environment, it can move in its environment, it can perform some simple actions, and it can send and receive messages. The main components of its internal structure include a working memory, a semantic memory, and a decision making mechanism. In our implemented simulation model, the agent associates linguistic expressions and vis ual perceptions. The main motivation for communication is to exchange information. The linguistic expressions are not symbolic but pattern-like. With the current framework and simulation tool, we wish to provide a useful model for language emergence based on the unsupervised learning paradigm among a community of communicating autonomous agents. In the future, we plan to include other aspects of cognitive modeling including more realistic multimodal information processing, anticipatory decision making, language evolution, and emotional modeling.