I am currently reading the Shakespeare
biography from Peter Ackroyd. While reading this interesting work, I wondered if agent based models and plays can be considered as two extremes on one scale. In both we witness the outcome of a small number of agents or actors interacting with each other in a particular environment according to certain rules and intentions. Shakespeares' plays are basic "models" for the complexity which arises through "love in hate" (Romeo and Juliet), "hesitation in action" (Hamlet) or "striving against destiny" (Macbeth). In Shakespeares' words "Though this be madness, yet there is method in't." Is it? -J. ============================================================ FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College lectures, archives, unsubscribe, maps at http://www.friam.org |
Having recently finished playing a role in a run of Shakespeare's Julias
Caesar, the question is of particular interest to me, and one I have given some thought to in the past. As I see it, a play performance generally is constrained by the dialogue flow and whatever stage directions the playwright has written in, which represent the primary rules from which the final performance emerges. From there the directors and choreagraphers establish further rules that constrain the dynamics of the play. The actors are the components who, after being given directions and stage choreagraphy, interpret their lines and movements and deliver them a little differently every time. And where there are multiple scenes and actors, each actor need only know his or her own cues and lines, and need not know those of every other actor. In this way the final performance, while highly constrained, remains not precisely predictable and is emergent. Also, it is quite possible none of the actors has a wholistic perception of the total performance - only the audience can see that. And indeed the audience, as an external environmental factor, can have a great influence on the performance dynamics, and the total system includes the audience as one its components. Every performance is different as actors' inflections, rhythms, pacings and choreagraphed dynamics constantly shift, but each performance is highly robust with a high degree of negative feedback (the actors' recollection of the play as it has been blocked and rehearsed) which dampens any possibility that dropped lines, miscues, or interruptions (perturbations) will spiral out of control. These differences from performance to performance are what distinguish an "organic" play from re-running a video, for example, which will be precisely the same each time it is played. Under this description, the "living" play would seem to be at the farther extreme of a highly constrained system with a high number of rules with emerging patterns that are generally predictable but not precisely so, as compared to a system with few rules which give rise to plenty of unpredicted emergent patterns or functionality. Further along those lines, I would tend to think that themes such as "love in hate" are actually emergent rather than constituting additional rules from which the dynamics of the play emerge (if the latter is what you were suggesting, though it isn't entirely clear to me). It seems quite possible that Shakespeare did not indend for these themes to exist at all when he wrote his plays, and that we see them now as central to the dynamics only because the interactions of the characters and actors (and Shakespeare's genius) allow such themes to emerge. - Hugh Trenchard ----- Original Message ----- From: "Jochen Fromm" <[hidden email]> To: "The Friday Morning Applied Complexity Coffee Group" <[hidden email]> Sent: Saturday, August 22, 2009 1:06 PM Subject: [FRIAM] ABMs and Plays >I am currently reading the Shakespeare biography from Peter Ackroyd. While >reading this > interesting work, I wondered if agent based models and plays can be > considered as two extremes on one scale. In both we witness the outcome of > a small number of agents or actors interacting with each other in a > particular environment > according to certain rules and intentions. Shakespeares' plays are basic > "models" for the complexity which arises through "love in hate" (Romeo and > Juliet), "hesitation in action" (Hamlet) > or "striving against destiny" (Macbeth). In Shakespeares' words "Though > this be madness, yet there is method in't." Is it? > > > -J. > > ============================================================ > FRIAM Applied Complexity Group listserv > Meets Fridays 9a-11:30 at cafe at St. John's College > lectures, archives, unsubscribe, maps at http://www.friam.org > ============================================================ FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College lectures, archives, unsubscribe, maps at http://www.friam.org |
Yes, every performance of a play is in fact a
bit different, but the outcome is always the same. I was more interested in the question if plays can be considered as a kind of model for systems with complex BDI agents and abstract rules. If a developer programs an object-oriented system, he determines in detail what every object should do, step by step, in every possible situation, see http://4loc.wordpress.com/2009/08/23/longing-for-world-domination/ What happens if we write advanced programs for agent- oriented systems, would they look like plays from a playwright? Or would we have to program beliefs, desires, emotions and intentions? In plays, the actors are driven by basic emotions and intentions. One theme is "love in hate" or "desire in vengeance" which appears in "Romeo and Juliet". Among others, the "desire in vengeance" theme can also be found in Hamlet: Ophelia and Hamlet love each other, but Hamlet kills her father accidentally, she kills herself, then her brother Laertes takes revenge, and in the end they are all dead. The playwright usually describes one of many possible plots or outcomes for a certain theme, here for instance what could happen if love and hate collide. The basic motives are as simple as the rules in basic ABMs. This is why I said that ABMs and plays can be considered as two extremes on one scale: ABMs: - simple agents, driven by basic rules - outcome (the sequence of actions) is not determined Plays: - complex actors, driven by basic emotions and intentions - outcome (the sequence of actions) is determined -J. ============================================================ FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College lectures, archives, unsubscribe, maps at http://www.friam.org |
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