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Options are different pathways to reach a solution based on a SON or a MON.

Brain Mechanisms

Here et al. (2009)[1] found that there is correlation between self-control and activity in the dlPFC and vmPFC. As you practice on self control, there is more blood flow in the dlPFC. It seams that "evidence between the options will be stored in the dlPFC and when a trashold is passed in the vmPFC, the decision will be made.

It may be that people with more self-control, can withhold verdict until enough evidence are presented.

The ACC is thought to be part of the conflict detection system between two deductions.ACC sulcus may be required for learning of action values[2]. Similar regions in ACC have also been shown to encode decision uncertainty[3]

In decision making it is thought to detect conflicts between two deductions[4][5][6] and evaluating the rewards of actions[7]. On the integration of these finding please read this article.D1 (dopamine 1) receptor blockade in ACC reduces preference for expending effort for rats[8].

Medial surface of left cerebral hemisphere, with anterior cingulate highlighted.
Medial surface of left cerebral hemisphere, with anterior cingulate highlighted.

Options in CMC

For every question there are may be many options to reach a solution. In CMC several methods were developed to represent options in a clear way:

In the developer communities stack overflow is a well familiar method to represent options. In delib.org delib.org mvp1 there is another way. Both ways are adjusted to infinite options. In deliberation infinite options are crucial for maintaining the ability of every member to represents his MON.

Options-infinte-cmc.jpg

Most of the people know about one or two or even several options. Voting yes/no is a reorientation of one option, which the public can accept or reject. Voting between two or more options is a way to select between a small set of options (which are preselected).

Options-limited-opnionstage.jpg

Distrebuted Evaluation of options

A distributed evaluation of options can be achieved by the OptPSR algorithm described by Caragiannis et al.[9]

References