In his paper Emergent Entities and Emergent Processes: Constructing Emergence through Multi-Agent Programming, Uri Wilensky gives the following definition for an emerging entity: “As the components of a system interact, they can form a pattern that is stable over time. We call such patterns emergent objects or entities… They emerge from the interactions of objects at a lower level or scale” (pp. 3). According to Wilensky an emergent entity has the following characteristics:
- Stable for some period of time (pp 3)
- Composite- “… almost all entities can be see as emergent, it is a matter of adopting the emergent perspective and seeing the entity as a composite-an ensemble of interacting components. From this perspective, all entities can be seen as special cases of process- processes that are maintained in a dynamic equilibrium” (pp 3).
- Dynamic (pp 3)
- Parallel- “[emergent entities] arise out of the interactions of many components all moving at the same time- that is, they act in parallel” (pp3). Wilendky also explains that “in order to make sense of the systems of interactions that comprise a complex system, we need to better understand how multiple processes executing simultaneously can coordinate and result is a composite pattern” (pp 3-4)
- Random- “…randomness can be quite constructive – generating many of the beautiful patterns we see in nature” (pp 4) “All of these patterns emerge fro the interactions of many tiny components governed by the laws of chance” (pp 4)
Further, Wilensky explains that research shows that people have difficulties in thinking about the details of how parallel processes can interact (pp 3) and reasoning about randomness and probability (pp 4). And, he proposes that such accumulated difficulties result in an emergent entity which he calls the “deterministic/centralized mindset” (pp 4) “This mindset causes people to see worldly phenomena as orchestrated and determined instead of as emergent. It focuses our attention at a single level of description rather than pointing us to the connections amongst levels” (pp 4)
Wilensky also points out that “because of our experiences as agents and our inability to attend to large numbers of factors for long periods of time, we do not have significant opportunities to develop robust intuitions about how emergent phenomena arise and maintain themselves” (pp 4)
Although in his paper Wilensky is more concerned about the emergenet entities in nature, we can use the same line of argument about the patterns and systems that emerge from interactions of human agents. Examples of such emergent systems are traffic, revolution, or systemic bias. Can Advance bring the opportunity for the players to develop an understanding about how systemic bias as an emergent phenomena arise?
Playing Advance, the player could have a broad perspective of the system (company) and reason in terms of the macrobehavior of the system and no longer focus only on the microbehavior of its agents. The player is not concerned about the bias of a specific agent, whereas she/he is concerned about the systemic bias (bias that emerge from the whole system). At the same time, the player experiences the perspective of single agents during the face off of the game, and realizes how the systemic bias could emerge from the enactment of these independent parallel processes. Each hiring process is independent and may occur simultaneously and hence in parallel, however, systemic bias emerges as the result of these parallel processes. Therefore, the game rules and mechanism forces the player to step back and think in system, the player is in charge of dealing with a bias system in order to succeed in the game.
Moreover, playing Advance player also have the opporunity to think about random processes and rules of chance. If the system is bias aganst a specific trait or gender it does not mean that no character with such gender or trait can be hired, but the chances are lower comparing to rest. It is more probable that somebody with a different trait or gender be more successful in earning the job. Also, the bias could be random even if the agents of the sysytem are rational. Each time the player tries to put a character in a job, during the face off the character may or may not earn the job and the bias factor could be randomly distibuted for these hiring processes.