Update README.md

DiningPhilosophers/README.md

@@ -27,6 +27,27 @@ This is an illustration of an dinining table:
 ![Dining Philosophers table](https://upload.wikimedia.org/wikipedia/commons/7/7b/An_illustration_of_the_dining_philosophers_problem.png)
 
 
+# Solution
+There are different solutions for this classic algorithm and this Swift implementation is based on the on the Chandy/Misra solution that more generally allows for arbitrary agents to contend for an arbitrary number of resources in a completely distributed scenario with no needs for a central authority to control the locking and serialization of resources. 
+
+However, it is very important to note here that this solution violates the requirement that "the philosophers do not speak to each other" (due to the request messages).
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+
+# Description
+For every pair of philosophers contending for a resource, create a fork and give it to the philosopher with the lower ID (n for agent Pn). Each fork can either be dirty or clean. Initially, all forks are dirty.
+When a philosopher wants to use a set of resources (i.e. eat), said philosopher must obtain the forks from their contending neighbors. For all such forks the philosopher does not have, they send a request message.
+When a philosopher with a fork receives a request message, they keep the fork if it is clean, but give it up when it is dirty. If the philosopher sends the fork over, they clean the fork before doing so.
+After a philosopher is done eating, all their forks become dirty. If another philosopher had previously requested one of the forks, the philosopher that has just finished eating cleans the fork and sends it.
+This solution also allows for a large degree of concurrency, and will solve an arbitrarily large problem.
+
+It also solves the starvation problem. The clean / dirty labels act as a way of giving preference to the most "starved" processes, and a disadvantage to processes that have just "eaten". One could compare their solution to one where philosophers are not allowed to eat twice in a row without letting others use the forks in between. Chandy and Misra's solution is more flexible than that, but has an element tending in that direction.
+
+In their analysis they derive a system of preference levels from the distribution of the forks and their clean/dirty states. They show that this system may describe an acyclic graph, and if so, the operations in their protocol cannot turn that graph into a cyclic one. This guarantees that deadlock cannot occur. However, if the system is initialized to a perfectly symmetric state, like all philosophers holding their left side forks, then the graph is cyclic at the outset, and their solution cannot prevent a deadlock. Initializing the system so that philosophers with lower IDs have dirty forks ensures the graph is initially acyclic.
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+
+# Swift implementation
+
+
 
 # See also