Update models/Application_examples/FindAdvisor.mp,...

Update models/Application_examples/FindAdvisor.mp, models/Application_examples/First_Responder.mp files

models/Application_examples/FindAdvisor.mp

 /* Model of Find Advisor
 
-Created by Kristin Giammarco.
+Created by Kristin Giammarco in 2015.
 Edited by Keane Reynolds in July, 2021.
 Edited by Pamela Dyer in July and August, 2021.
 
 Purpose: To show that human interaction and organizational 
-processes can be modeled as well as technological system 
-and subsystem interactions.
+processes can be modeled using MP.
 
 Description: Alternate behaviors for humans are described 
-in terms of possible decisions they could make. In this 
-example, the process of a student finding an advisor for a 
-potentially MP-related research topic is modeled. To do so, 
-it only uses roots, composites, "or" blocks, and COORDINATE 
-statements. Users should inspect this model when considering 
-the process of finding a mentor, or looking to learn how to 
-use COORDINATE statements to make a model. Because the same 
-modeling approach can be used for human systems and 
-technological systems, it becomes possible to have 
+in terms of possible decisions they could make. This example
+models the process of a student finding an advisor for a 
+potentially MP-related research topic. To do so, it uses root
+events, composite events, atomic events, "or" logic 
+( ... | ... ), and COORDINATE statements. Users should inspect 
+this model when considering the process of finding a mentor, 
+or looking to learn how to use COORDINATE statements to make a 
+model. Because the same modeling approach can be used for human 
+systems and technological systems, it becomes possible to have 
 integrated behavior models containing both humans and 
 technology to study the possible interactions among them.
 
@@ -28,8 +27,7 @@ human interactions modeling; behavior, human systems
 
 Instructions: Run for Scope 1 (there is no iteration in 
 this example, so increasing the scope will not produce more 
-scenarios). "Sequence" mode yields views very similar to 
-the UML or SysML Sequence Diagrams.
+scenarios). 
 	Scope 1: 3 traces in less than 1 sec.
 
 ==========================================================*/

models/Application_examples/First_Responder.mp

@@ -4,31 +4,52 @@ Created by Jordan Bryant in May, 2016.
 Edited by Keane Reynolds in July, 2021.
 Edited by Pamela Dyer in July and August, 2021.
 
-Purpose: To demonstrate a first responder scenario 
-involving the administation of a rescue medication (Narcan) 
-to an overdose victim by a First Responder or a Bystander.
+Purpose: To demonstrate unexpected emergent behavior in a 
+first responder scenario involving the administation of a 
+rescue medication (Narcan) to an overdose victim.
 
 Description: This model demonstrates the administration of 
 Narcan by bystanders in order to determine the possible 
 consequences of allowing or even encouraging bystanders to 
-administer medication in an overdose scenario. The model 
-accomplishes this using "or" blocks and COORDINATE 
-statements. Users may find this model useful when looking 
-into COORDINATE statements, or scenarios with bystanders 
-who could possibly become involved in whatever process 
-is being modeled.
-
-References:
+administer medication in an overdose scenario. 
+
+This model is a draft snapshot of a high school student's
+senior capstone project studying safety issues pertaining to 
+a proposed process for layperson administration of a rescue 
+medication called Narcan (Bryant 2016). It produces various 
+possible scenarios that could emerge based on the possible 
+actions of bystanders and first responders and their 
+interactions with the victim.  The original analysis goal was 
+to determine the time savings in having bystanders prepared to 
+administer the rescue medication, but an unexpected behavior 
+was found among the generated a trace that neither student nor 
+mentor considered.  For example, trace 6 prompted the idea to 
+modify the process to include the bystander marking the victim 
+to indicate the dose and time they administered while waiting
+for the first responders.  Being a work in progress, this model
+is incomplete, but this version of it was archived in order to 
+capture the state of the model in which the unexpected emergent
+behavior was first observed.
+
+References: 
+Bryant, Jordan (2016).  "Using Monterey Phoenix to analyze an 
+alternative process for administering Naloxone," mentored by 
+Kristin Giammarco (NPS) and Rick Schlegel (EMT).
+Available online:
+http://scienceandmathacademy.com/academics/srt4/student_work/2016/bryant_jordan.pdf
+
+Giammarco, Kristin, and Kathleen Giles. "Verification and validation 
+of behavior models using lightweight formal methods." In Disciplinary 
+convergence in systems engineering research, pp. 431-447. Springer, 
+Cham, 2018.
+Available online:
+https://calhoun.nps.edu/handle/10945/58237 
 
 Search terms: behavior, first responder; 
 behavior, bystander; behavior, unexpected; 
 behavior, emergent
 
-Instructions: Run for Scope 1. The model was developed to 
-compare response times, but unexpected scenarios emerged 
-that were previously not considered. Trace 6 and others 
-show a double administration of Narcan by both the 
-bystander and the first responder.
+Instructions: Run for Scope 1. 
 	Scope 1: 8 traces in less than 1 sec.
 
 ==========================================================*/