Maniadakis Michail, Trahanias Panos
Foundation for Science and Technology, Hellas University of Crete, Greece.
Artif Life. 2009 Summer;15(3):293-336. doi: 10.1162/artl.2009.Trahanias.007.
We address the development of brain-inspired models that will be embedded in robotic systems to support their cognitive abilities. We introduce a novel agent-based coevolutionary computational framework for modeling assemblies of brain areas. Specifically, self-organized agent structures are employed to represent brain areas. In order to support the design of agents, we introduce a hierarchical cooperative coevolutionary (HCCE) scheme that effectively specifies the structural details of autonomous, yet cooperating system components. The design process is facilitated by the capability of the HCCE-based design mechanism to investigate the performance of the model in lesion conditions. Interestingly, HCCE also provides a consistent mechanism to reconfigure (if necessary) the structure of agents, facilitating follow-up modeling efforts. Implemented models are embedded in a simulated robot to support its behavioral capabilities, also demonstrating the validity of the proposed computational framework.
我们致力于开发受大脑启发的模型，这些模型将被嵌入机器人系统以支持其认知能力。我们引入了一种新颖的基于智能体的协同进化计算框架，用于对脑区集合进行建模。具体而言，采用自组织智能体结构来表示脑区。为了支持智能体的设计，我们引入了一种分层协作协同进化（HCCE）方案，该方案有效地指定了自主但协作的系统组件的结构细节。基于HCCE的设计机制能够研究模型在损伤条件下的性能，从而促进了设计过程。有趣的是，HCCE还提供了一种一致的机制来（如有必要）重新配置智能体的结构，便于后续的建模工作。实现的模型被嵌入到模拟机器人中以支持其行为能力，这也证明了所提出的计算框架的有效性。
