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A dynamical connectionist model of idea generation

机译:动态的想法产生的连接主义模型

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In this paper, we present a model for the generation of ideas within a creative thinking/brainstorming context. In the model, ideas emerge as conceptual combinations from the interaction of complex dynamics at several semantic levels: features, concepts, categories, and previously generated ideas. This dynamics is shaped by external information on task context, constraints and goals, and is modulated by evaluative feedback from an internal critic working through reinforcement. While the model is abstract, it attempts to capture the interplay between semantic representations in the temporal, frontal and parietal cortices, working memory in the prefrontal cortex, attentional selection by the basal ganglia, and modulation from the dopaminergic reward system. We show that a context-specific itinerant search for novel but meaningful conceptual combinations (ideas) emerges naturally from the dynamics of this system. We also briefly describe a computational model for ideation in groups using a multi-agent formalism. The initial focus of this model is on studying the potential benefits of cognitive diversity in agent groups, e.g., the presence of convergent and divergent thinkers, or agents with different semantic organizations.
机译:在本文中,我们提出了一个在创造性思维/头脑风暴环境下产生思想的模型。在模型中,想法是从复杂动力学在几个语义级别上的交互作为概念组合而出现的:特征,概念,类别和先前生成的想法。这种动态是由有关任务上下文,约束和目标的外部信息形成的,并由内部批评家通过强化工作提供的评估反馈进行调节。虽然模型是抽象的,但它试图捕获颞,额叶和顶叶皮层的语义表示,前额叶皮层中的工作记忆,基底神经节的注意选择以及多巴胺能奖赏系统的调节之间的相互作用。我们表明,从该系统的动力学中自然而然地出现了针对新颖但有意义的概念组合(想法)的针对特定上下文的巡回搜索。我们还简要描述了使用多主体形式主义进行分组构想的计算模型。该模型的最初重点是研究主体群体中认知多样性的潜在好处,例如,趋同和分歧的思想家或具有不同语义组织的主体的存在。

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