Category: Internal Senses

Coherency and the Game Combos

In sta­tis­tics, one learns very early on that inde­pen­dent ran­dom vari­a­tions tend to can­cel out when grouped together. By the law of large num­bers, the col­lec­tive behav­ior of many inde­pen­dent ran­dom enti­ties tends to closely reflect the aver­age behav­ior of these enti­ties. This is very con­ve­nient if we see the ran­dom vari­a­tions as being mean­ing­less noise and were only inter­ested in the aver­age. But if the vari­a­tions con­tained all the inter­est­ing com­plex­ity, then the com­plex­ity is washed away in the aggre­gate. In a generic soci­ety, the gener­ics may be highly var­ied and indi­vid­u­ally very com­plex. Naively put them in a group and the col­lec­tive behav­ior is sim­pler – quite plau­si­bly, the vari­a­tions can­cel toward zero and the group achieves noth­ing as a whole.

This all changes if the ran­dom vari­a­tions were not inde­pen­dent and tended to align along cer­tain dimen­sions. The vari­a­tions will be ampli­fied wher­ever they align, and the col­lec­tive behav­ior of the group cleanly empha­sizes the align­ment of its con­stituents. If we want a group of gener­ics to retain a mean­ing­ful iden­tity dis­tinct from the aver­age of its mem­bers, we need to give the gener­ics a desire to align with each other in behav­ior or moti­va­tion. The topic of today’s post is the coherency domain, which con­tains ideas that lend well to being mixed with other con­structs to describe non­triv­ial social behav­iors. As an exam­ple, I will use con­cepts from the coherency domain to describe the gam­ing com­bos, which are a set of meth­ods for cre­at­ing align­ment even between unre­lated or mutu­ally exclu­sive activ­i­ties through the com­mon par­tic­i­pa­tion of a big­ger event.

The OpenSense Domain

Communication is essen­tial in allow­ing indi­vid­u­als to coop­er­ate in group activ­ity, espe­cially if the indi­vid­u­als dif­fer in their roles or char­ac­ter­is­tics. Having open access to infor­ma­tion greatly boosts the pro­duc­tiv­ity of a group – in fact, this is the moti­vat­ing prin­ci­ple behind the inven­tion of patents, the inter­net, and open source soft­ware. Similarly, mem­bers of a team are expected to openly share their thoughts and ten­den­cies so that the team can make up for each other’s weak­nesses. In the OpenSense domain, we dis­cuss what hap­pens when impor­tant facets of generic thought are openly expressed and eas­ily sensed by oth­ers in the envi­ron­ment. We will talk about how gener­ics in this domain tend to form friend­ship groups, share infor­ma­tion about them­selves, and engage in play activ­i­ties designed to uncover highly var­ied aspects of each other’s per­son­al­i­ties. The senses in this domain are anal­o­gous to human emo­tions and the invol­un­tary facial expres­sions / body lan­guage used to express such emo­tions1, but in this post I will mostly focus on the OpenSense dynam­ics in its pure form and only use human behav­iors as illus­tra­tive examples.

The Rivalry Domain

Previously, I’ve been talk­ing in broad terms about very gen­eral con­cepts in profi­ci­ol­ogy. This will be the first time I nar­row my focus into a spe­cific domain. A domain is a restricted set­ting with only a small num­ber of rel­e­vant events / senses / agents – basi­cally a toy prob­lem, or a sim­pli­fied model envi­ron­ment. The hope is that we can use impor­tant ideas from these domains as fun­da­men­tal build­ing blocks that will help us ana­lyze more com­plex setups. In other words, we should be able to build more inter­est­ing / real­is­tic gener­ics by mix­ing & match­ing sim­ple com­po­nents from mul­ti­ple domains, as if we were build­ing a com­plex mol­e­cule atom-by-atom.

In this post we will talk about the Rivalry domain, which focuses on events where one generic ben­e­fits at another generic’s loss. I will sup­ple­ment my expla­na­tion with for­mal nota­tion loosely based on func­tional pro­gram­ming lan­guages. I am not requir­ing (or expect­ing) read­ers to have a back­ground in com­puter sci­ence – it’s just that this kind of nota­tion is very use­ful for describ­ing non­triv­ial generic behav­iors through the com­po­si­tion of sim­pler con­structs. In any case, I will be explain­ing this func­tional nota­tion as I go.