论文标题
Ortus：一种以情感为导向的（人工）生物智能的方法
Ortus: an Emotion-Driven Approach to (artificial) Biological Intelligence
论文作者
论文摘要
Ortus是一种简单的虚拟生物，也是研究和开发基于生物学的人工智能的初始框架。 Ortus诞生于创造复杂的虚拟智力和初步尝试为秀丽隐杆线虫建模的尝试，它实现了在有机神经系统中观察到的许多机制，并尝试根据合理的生物学实现和心理观察来填补未知数。实施的机制包括兴奋性和抑制性化学突触，双向间隙连接以及HEBBIAN学习的Stentian扩展。我们提出了一个展示Ortus的基本原理的初始实验；具体而言，相对于输入刺激，环状呼吸道和情感驱动的关联学习。最后，我们讨论了Ortus和类似系统的含义和未来方向。
Ortus is a simple virtual organism that also serves as an initial framework for investigating and developing biologically-based artificial intelligence. Born from a goal to create complex virtual intelligence and an initial attempt to model C. elegans, Ortus implements a number of mechanisms observed in organic nervous systems, and attempts to fill in unknowns based upon plausible biological implementations and psychological observations. Implemented mechanisms include excitatory and inhibitory chemical synapses, bidirectional gap junctions, and Hebbian learning with its Stentian extension. We present an initial experiment that showcases Ortus' fundamental principles; specifically, a cyclic respiratory circuit, and emotionally-driven associative learning with respect to an input stimulus. Finally, we discuss the implications and future directions for Ortus and similar systems.
