论文标题
集体自适应系统连续行为的离散模型
Discrete models of continuous behavior of collective adaptive systems
论文作者
论文摘要
人造蚂蚁是“小”单元，在共享的，动态变化的“空间”上自主移动，直接或间接交换某种信息。人造蚂蚁经常被认为是集体自适应系统的范式。在本文中，我们讨论表示离散模型中“蚂蚁”连续移动的方法。更普遍地，我们挑战“时间”在人造蚂蚁系统和模型中的作用。我们建议一个建模框架，该框架沿因果关系依赖性而不是沿时间关系结构行为。我们通过一个简单的例子的帮助提出了所有参数。作为建模框架，我们采用了Heraklit；在许多情况下已经证明其价值的新兴框架。
Artificial ants are "small" units, moving autonomously on a shared, dynamically changing "space", directly or indirectly exchanging some kind of information. Artificial ants are frequently conceived as a paradigm for collective adaptive systems. In this paper, we discuss means to represent continuous moves of "ants" in discrete models. More generally, we challenge the role of the notion of "time" in artificial ant systems and models. We suggest a modeling framework that structures behavior along causal dependencies, and not along temporal relations. We present all arguments by help of a simple example. As a modeling framework we employ Heraklit; an emerging framework that already has proven its worth in many contexts.
