Like interactions in our real world, online interactions must follow some sort of predictable, plausible rules.
In any case, the first way of arguing for rule-consequentialism is to argue that it specifies an underlying principle that provides impartial justification for intuitively plausible moral rules, and that no rival theory does this as well (Urmson 1953; Brandt 1967; Hospers 1972; Hooker 2000).
So while theoreticians labored to find plausible transformation rules for the electrodynamics of moving bodies, experimentalists tried to detect the Earth's motion in the aether.
Although many studies have focused on the design and optimization of neural networks to solve visual recognition tasks, most of them either lack neurobiologically plausible learning rules or decision-making processes.
Here, we prove that a class of hierarchical architectures and a broad set of biologically plausible learning rules generate approximate invariance to identity-preserving transformations at the top level of the processing hierarchy.
The defence against the incoherence objection seems far more secure, however, if the argument for rule-consequentialism is that this theory does better than any other moral theory at specifying an impartial justification for intuitively plausible moral rules.
Our results demonstrate that higher progression rates remain plausible when rules allow for greater impact from technology.
Both are plausible copying rules [8]: copying successful individuals is a quick and cheap way of acquiring effective behaviour but may involve the acquisition of some suboptimal traits, whereas direct bias is more likely to result in the acquisition of the most effective traits but with greater time and cost (although these costs were not directly simulated in the present model).
We believe that one of the main advantages of agent-based modeling is that it may help to discover plausible behavioral rules to be verified empirically.
Using biologically plausible learning rules and inputs, we have shown that ILGA can learn to represent affordances for grasping and to select motor parameters appropriate to act on them.
