Vironments provides a considerable opportunity for measuring and, above all, for modeling behavior. In fact, working with such environments we are able to do issues that happen to be not probable in real settings, and we can extract uncomplicated or complex facts connected towards the observed behavior, such as response to standardized tasks, psychophysiological parameters (challenging to Containing input symbols and G = g1 , g2 , . . . , gm , containing output symbols record in genuine settings), route inside the virtual atmosphere (spatial navigation), physique motions (head, eye, hand, and physique tracking), and various other measures which are uncomplicated to gather together with the use of NeuroVirtual 3D (Cipresso et al., 2014a).MODELING BEHAVIOR DYNAMICS Contemplating ONLY One Person IN VIRTUAL ENVIRONMENTSAn individual might be deemed a Complex Adaptive Method (CAS) (Bar-Yam, 1997). In the macro level, a CAS shows complexity and emergence properties, thanks to adaptivity, selforganization (attraction and repulsion processes), stigmergy, autocatalysis, syntropy, self-similarity, and so on. Because the environment modifications, a CAS has the capacity to adapt to it. As a result, when a perturbation happens within the systems, a CAS reconfigures itself without having substantial loss of its own functionality; needless to say, this is determined by the resilience with the method (Miller and Page, 2007; Buckley, 2008). A essential property of CAS, particularly in people, is homeostasis (Buckley, 2008), which refers for the capacity of a technique to regulate its own internal values to have a tendency toward a steady equilibrium. To act this regulation we’ve got to introduce the concept of feedback. Essentially, feedback enters the method and modifies its dynamics. There are two diverse types of feedback: ?Constructive feedback, with which the modifications are amplified, causing the system to be unstable; and ?Damaging feedback, with which the changes leads the system toward homeostasis. Within the CAS field, it really is common to speak about “the edge in the chaos.” This notion was initially developed by Packard and Langton by means of computational experiments. The concept is that uncomplicated systems are static, whilst too-active program are chaotic; thus, complexity lies “on the edge” among these two extremes, where the systems have the capacity for emergent computation (Miller and Page, 2007). Currently in the early 1950s, Friedrich Von Hayek, Nobel Prize recipient in economics, had introduced the concept of “spontaneous order.” This spontaneous emergence of order out of seeming chaos as well as other thoughts associated to CAS resulted inside a vivid evolution of mathematical and computational tactics and models (Miller and Web page, 2007; Buckley, 2008). Considering only 1 person inside a virtual atmosphere, two primary aspects is often taken into account: presence, which refers to our sense of getting into a virtual environment, and interaction using the atmosphere, which also includes the objects inside it. NeuroVirtual 3D enables for a full interaction from the users in the virtual environment and is in a position to interconnect with all the external (real) world by which includes elements of it within the VR setting. Thanks to a VRPN (Virtual-Reality Peripheral Network) protocol, it can be feasible to integrate with NeuroVirtual 3D lots of devices, like human behavior, as soon as coded. One of the most beneficial integrations may be the implementation of a “biofeedback” connector, which enables customers to adjust the environment or particular objects with psychophysiological indexes measured through the use of distinct biosensors.