研讨会:第八届进化计算和多智能体系统与仿真年度研讨会

Forrest Stoendahl, W. Rand
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引用次数: 0

摘要

欢迎参加第八届进化计算和多智能体系统与仿真年度研讨会(ECoMASS 2014)!进化计算(EC)和多智能体系统及仿真(MASS)都涉及智能体群体。生态系统是一种学习技术,个体主体群体根据环境施加的选择压力进行适应;MASS试图理解如何协调共享环境的一群(可能是自私的)自治主体的行动,从而实现某些结果。EC和MASS都有自顶向下和自底向上的特点。例如,多智能体系统工程的某些方面(例如,机制设计)涉及自上而下的结构如何约束或影响个体决策。同样,EC中的大多数工作都是关于如何设计选择压力,以推动个体行为朝着某些预期目标进化。多代理模拟(也称为基于代理的建模)解决了集体行为如何从个体行为中产生的自下而上的问题。同样,对生物演化动力学的研究(例如共同进化)经常考虑群体水平的现象是如何从个体水平的相互作用中产生的。因此,在高层次上,我们可以将EC和MASS视为检查和利用类似的过程。因此,考虑在EC中获得的知识如何与MASS相关是很自然的,反之亦然;事实上,一个领域的应用和技术经常利用另一个领域的技术和算法。结合研究EC和MASS是有必要的,并且有可能对这两个领域做出贡献。GECCO的ECoMASS研讨会作为探索这一交叉点的论坛有着成功的历史,我们期待着另一年的刺激讨论,将这两个领域的专家和新手聚集在一起,就他们的工作进行对话。今年的参与者带来了各种各样的研究主题进行讨论,包括迁徙流动,心脏跳动,嵌入式系统,peloton和cyclists,以及羊群行为。今年,我们还将增加一个“研究大满贯”。我们将邀请在大会上演讲的演讲者给我们简单介绍一下他们的工作。我们希望,这将进一步鼓励就广泛议题进行更热烈的讨论。我们还鼓励演示者在分组会议中现场演示他们的软件,为实际运行系统的一对一对话和讨论提供额外的机会。通过这些增加到研讨会,我们希望继续创新,并围绕进化计算和多智能体系统和模拟的有趣交集发展对话!
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Session details: Workshop: eighth annual workshop on evolutionary computation and multi-agent systems and simulation
Welcome to the Eighth Annual Workshop on Evolutionary Computation and Multi-Agent Systems and Simulation (ECoMASS 2014)! Evolutionary computation (EC) and multi-agent systems and simulation (MASS) both involve populations of agents. EC is a learning technique by which populations of individual agents adapt according to the selection pressures exerted by an environment; MASS seeks to understand how to coordinate the actions of a population of (possibly selfish) autonomous agents that share an environment so that some outcome is achieved. Both EC and MASS have top-down and bottom up features. For example, some aspects of multi-agent system engineering (e.g., mechanism design) are concerned with how top-down structure can constrain or influence individual decisions. Similarly, most work in EC is concerned with how to engineer selective pressures to drive the evolution of individual behavior towards some desired goal. Multi-agent simulation (also called agent-based modeling) addresses the bottom-up issue of how collective behavior emerges from individual action. Likewise, the study of evolutionary dynamics within EC (for example in coevolution) often considers how population-level phenomena emerge from individual-level interactions. Thus, at a high level, we may view EC and MASS as examining and utilizing analogous processes. It is therefore natural to consider how knowledge gained within EC may be relevant to MASS, and vice versa; indeed, applications and techniques from one field have often made use of technologies and algorithms from the other field. Studying EC and MASS in combination is warranted and has the potential to contribute to both fields. The ECoMASS Workshop at GECCO has a successful history as a forum for exploring precisely this intersection, and we are looking forward to another year of stimulating discussion, bringing together experts as well as novices in both areas, to engage in dialogue about their work. This year's participants bring a variety of research topics for discussion, including migratory flows, the beating of the heart, embedded systems, pelotons and cyclists, and flocking behavior. This year, we will also be adding a "research slam". We will be inviting presenters who are presenting in the general conference to give us a quick presentation about their work. We hope that this will further encourage additional lively discussion about a wide range of topics. We also encourage presenters to demonstrate their software live during a breakout session, enabling additional opportunities for one-on-one dialogue and discussion of actual running systems. Through these additions to the workshop, we hope to continue to innovate, and develop the conversations around the interesting intersection of evolutionary computation and multi-agent systems and simulations!
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Evolutionary synthesis of dynamical systems: the past, current, and future Incremental evolution of HERCL programs for robust control Selecting evolutionary operators using reinforcement learning: initial explorations Flood evolution: changing the evolutionary substrate from a path of stepping stones to a field of rocks Artificial immune systems for optimisation
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