[net.games.board] Improved truly fair Rail Baron rules

doug@cornell.UUCP (12/04/85)

From: doug (Douglas Campbell)



After looking at my previous posting, I decided that my scheme for railroad
pricing was sound, but that the Northeast rails needed a little fixing.
So, I went back and made changes to Portland, Boston, and New York in the
weights they give to the rails they connect to.  I gave half of Portland's
weight to the B&M, and a quarter each to the PA and NYC.  I split Boston
four equal ways, to the B&M, NYNH&H, PA, and NYC.  Finally, I split New
York equally between the NYC and the PA.  The reasons are that Portland and
Boston are effectively locked by the PA and NYC in addition to the B&M and
NYNH&H, and the NYNH&H doesn't really ever help you get to New York.  So,
posted below are the resulting prices as a result of this fix.  I also ran
the algorithm for the Seattle rules, with and without the fix.

    Original        Seattle
  fix    no fix   fix    no fix
 56,000	 47,000	 48,000  42,000	 PA - Pennsylvania
 40,000  31,000	 34,000	 28,000	 NYC - New York Central
 39,000	 39,000	 34,000	 34,000	 AT&SF - Atchison, Topeka, & Santa Fe
 38,000	 38,000	 36,000	 36,000	 SP - Southern Pacific
 30,000  30,000	 31,000	 31,000	 UP - Union Pacific
 26,000	 26,000	 18,000	 18,000	 B&O - Baltimore & Ohio
 23,000	 23,000	 20,000	 20,000	 SAL - Seaboard Air Line
 23,000	 23,000	 30,000	 30,000	 L&N - Louisville & Nashville
 19,000	 19,000	 25,000	 25,000	 CRI&P - Chicago, Rock Island, & Pacific
 19,000	 19,000	 19,000	 19,000	 C&O - Chesapeake & Ohio
 16,000	 16,000	 20,000	 20,000	 NP - Northern Pacific
 15,000	 15,000	 18,000	 18,000	 WP - Western Pacific
 15,000	 15,000	 17,000	 17,000	 SOU - Southern
 15,000	 15,000	 17,000	 17,000	 CMSTP&P - Chicago, Milwaukee, St. Paul, & Pac.
 15,000	 15,000	 16,000	 16,000	 CB&Q - Chicago, Burlington, & Quincy
 15,000	 15,000	 22,000	 22,000	 C&NW - Chicago & NorthWestern
 14,000	 14,000	 18,000	 18,000	 GN - Great Northern
 13,000	 13,000	 11,000	 11,000	 ACL - Atlantic Coast Line
 12,000	 12,000	 13,000	 13,000	 SLSF - St. Louis - San Fransisco
 12,000	 12,000	 14,000	 14,000	 MP - Missouri Pacific
 10,000	 10,000	 14,000	 14,000	 N&W - Norfolk & Western
 10,000	 16,000	  6,000	 12,000	 B&M - Boston & Maine
  9,000	  9,000	  6,000	  6,000	 T&P - Texas & Pacific
  8,000	  8,000	  9,000	  9,000	 IC - Illinois Central
  8,000	  8,000	  8,000	  8,000	 GM&O - Gulf, Mobile, & Ohio
  7,000	  7,000	  7,000	  7,000	 D&RGW - Denver & Rio Grande Western
  4,000	 14,000	  1,000	  8,000	 NYNH&H - New York, New Haven, & Hartford
  3,000	  3,000	  2,000	  2,000	 RF&P - Richmond, Fredericksburg, & Potomac

I believe that the prices with the fix are much more reasonable.

Just for fun, I printed out the probabilities of going to each city under
the original and the Seattle rules.  Here are some highlights:

(Numbers are the percent chance of going to the city)

			Top 10
	Original			Seattle
  4.05	 New York		 2.70	 New York
  3.94	 Los Angeles		 2.55	 Portland, Ore.
  3.40	 Chicago		 2.51	 Oklahoma City
  2.89	 Philadelphia		 2.51	 Kansas City
  2.89	 Boston			 2.33	 Indianapolis
  2.78	 Seattle		 2.33	 Detroit
  2.78	 Kansas City		 2.31	 Philadelphia
  2.62	 Portland, Ore.		 2.31	 Memphis
  2.60	 Baltimore		 2.12	 Spokane
  2.60	 Atlanta		 2.12	 Salt Lake City

			Bottom 10
	Original			Seattle
  0.69	 Tucumcari		 0.77	 Dallas
  0.69	 Reno			 0.77	 Chattanooga
  0.69	 Little Rock		 0.64	 Billings
  0.69	 Charleston		 0.58	 St. Paul
  0.62	 Pocatello		 0.58	 Shreveport
  0.62	 Casper			 0.39	 Tampa
  0.52	 Shreveport		 0.39	 El Paso
  0.52	 Chattanooga		 0.39	 Charleston
  0.52	 Charlotte		 0.39	 Birmingham
  0.46	 Fargo			 0.39	 Albany

			Other
	Original			Seattle
  2.31	 San Fransisco		 1.35	 San Fransisco
  2.08	 Oakland		 1.54	 Oakland
  1.74	 Miami			 1.35	 Miami
  1.16	 Portland, Me.		 1.54	 Portland, Me.

	    Where the top 10 went/came from
	Original			Seattle
  1.23	 Oklahoma City		 1.93	 Los Angeles
  1.06	 Indianapolis		 1.91	 Seattle
  2.33	 Detroit		 1.70	 Chicago
  1.22	 Memphis		 1.35	 Atlanta
  0.77	 Spokane		 1.16	 Boston
  1.39	 Salt Lake City		 0.96	 Baltimore

In conclusion, I think I will use the original rules for destinations, 
and the new railroad prices with the fix.  This is because the rail price
changes seem more effective than the probability changes (shown by the
relatively small price changes in railroads under probability changes).

						Doug Campbell
						doug@cornell.{UUCP|ARPA}

wrd@tekigm2.UUCP (Bill Dippert) (12/04/85)

> From: doug (Douglas Campbell)
> 
> After looking at my previous posting, I decided that my scheme for railroad
> pricing was sound, but that the Northeast rails needed a little fixing...
> ......etc.........
> 
> Just for fun, I printed out the probabilities of going to each city under
> the original and the Seattle rules.  Here are some highlights:
> 
> (Numbers are the percent chance of going to the city)
> 
> 			Top 10
> 	Original			Seattle
>   4.05	 New York		 2.70	 New York
>   3.94	 Los Angeles		 2.55	 Portland, Ore.
>   3.40	 Chicago		 2.51	 Oklahoma City
>   2.89	 Philadelphia		 2.51	 Kansas City
>   2.89	 Boston			 2.33	 Indianapolis
>   2.78	 Seattle		 2.33	 Detroit
>   2.78	 Kansas City		 2.31	 Philadelphia
>   2.62	 Portland, Ore.		 2.31	 Memphis
>   2.60	 Baltimore		 2.12	 Spokane
>   2.60	 Atlanta		 2.12	 Salt Lake City
> 
> 			Bottom 10
> 	Original			Seattle
>   0.69	 Tucumcari		 0.77	 Dallas
>   0.69	 Reno			 0.77	 Chattanooga
>   0.69	 Little Rock		 0.64	 Billings
>   0.69	 Charleston		 0.58	 St. Paul
>   0.62	 Pocatello		 0.58	 Shreveport
>   0.62	 Casper			 0.39	 Tampa
>   0.52	 Shreveport		 0.39	 El Paso
>   0.52	 Chattanooga		 0.39	 Charleston
>   0.52	 Charlotte		 0.39	 Birmingham
>   0.46	 Fargo			 0.39	 Albany
> 
> 			Other
> 	Original			Seattle
>   2.31	 San Fransisco		 1.35	 San Fransisco
>   2.08	 Oakland		 1.54	 Oakland
>   1.74	 Miami			 1.35	 Miami
>   1.16	 Portland, Me.		 1.54	 Portland, Me.
> 
> 	    Where the top 10 went/came from
> 	Original			Seattle
>   1.23	 Oklahoma City		 1.93	 Los Angeles
>   1.06	 Indianapolis		 1.91	 Seattle
>   2.33	 Detroit		 1.70	 Chicago
>   1.22	 Memphis		 1.35	 Atlanta
>   0.77	 Spokane		 1.16	 Boston
>   1.39	 Salt Lake City		 0.96	 Baltimore
> 

Out of curiosity:  how did you calculate the odds to get the cities?  Did
you take into consideration the odds to get to the region first, then the
odds that once in that region you could roll that city?  Or what?

When I did my calculations to get the differences of obtaining SE between
the original rules and the Seattle Rules, I did the following math:

Under the "Seattle Rules" reaching Southeast requires:
     an odd 3
     an odd 10 
     or an even 6


The odds of rolling an odd 3 are [(l/2)(1/6 + 1/6)];
the odds of rolling an odd 10 are {[1/2][(1/6 + 1/6)(1/6 + 1/6)]};
and finally the odds of rolling an even 6 are 
	 {[1/2][(1/6 + 1/6)(1/6 + 1/6)(1/6 + 1/6)]}.

To get the odds of any of these to happen is the sum of these three
probabilities or reducing this down:

	  (1/6) + (1/18) + (1/54) = .24 or 24%

	  This compares to the 7% for the original rules. (Per another 
	  posting, I did not check this out.)

	  All of the above based on the forumulas of probability as 
	  expressed in an "Introduction to Modern Algebra" by Neal H. 
	  McCoy.  (And at least 20 years after receiving my B.S. in Math!)

Are you or is there anyone out there willing and knowledgeable to first 
calculate the odds of reaching each region and second of reaching each 
city within each region?  -- for both the original and the Seattle rules?

Thanks,
--Bill--

tektronix!tekigm2!wrd

srt@ucla-cs.UUCP (12/06/85)

In article <1324@cornell.UUCP> doug@cornell.UUCP writes:
>			Top 10
>	Original			Seattle
>  4.05	 New York		 2.70	 New York
>  3.94	 Los Angeles		 2.55	 Portland, Ore.
>

I got somewhat different results.  If you count San Francisco and Oakland
as a single city, it is the most popular at 4.47%.  Here are the odds for
everything as I calculated them (regular rules):

CITY PROBABILITIES FOR RAIL BARON

Odds for Regions

Plains              .112
Southeast           .126
North Central       .154
Northeast           .210
Southwest           .168
South Central       .126
Northwest           .112


Odds by City

Northeast
                                South Central
New York    .0412
Albany      .0118               Memphis     .0124
Boston      .0294               Little Rock .0071
Buffalo     .0176               New Orleans .0159
Portland    .0118               Birmingham  .0106
Washington  .0235               Louisville  .0124
Pittsburgh  .0206               Shreveport  .0053
Philly      .0294               Dallas      .0141
Baltimore   .0265               San Antonio .0106
                                Houston     .0159
Southeast                       Fort Worth  .0106

Charlotte   .0053               Plains
Chattanooga .0053
Atlanta     .0265               Kansas City .0282
Richmond    .0088               Denver      .0188
Knoxville   .0106               Pueblo      .0078
Mobile      .0106               Okl. City   .0125
Norfolk     .0125               St. Paul    .0094
Charleston  .0071               Minneapolis .0125
Miami       .0176               Min-St.Pl   .0209
JacksonVl   .0106               Des Moines  .0078
Tampa       .0124               Omaha       .0110
                                Fargo       .0047

North Central                   Northwest

Cleveland   .0216               Spokane     .0078
Detroit     .0237               Seattle     .0282
Indianplis  .0108               Rapid City  .0078
Milwaukee   .0173               Casper      .0063
Chicago     .0345               Billings    .0078
Cincinnati  .0151               Salt Lake   .0141
Columbus    .0108               Portland    .0267
St. Louis   .0194               Pocatello   .0063
                                Butte       .0078

Southwest

San Diego   .0165
Reno        .0071
Sacramento  .0118
Las Vegas   .0141
Phoenix     .0188
El Paso     .0094
Tucumcari   .0071
Los Angeles .0400
Oakland     .0212
San Fran    .0235
Oak-San     .0447


In Order

Oak-San     .0447       Okl.-City   .0125
New-York    .0412       Norfolk     .0125
Los-Angeles .0400       Tampa       .0124
Chicago     .0345       Memphis     .0124
Boston      .0294       Louisville  .0124
Philly      .0294       Albany      .0118
Seattle     .0282       Sacramento  .0118
Kansas-City .0282       Portland    .0118
Portland    .0267       Omaha       .0110
Baltimore   .0265       Indianplis  .0108
Atlanta     .0265       Columbus    .0108
Detroit     .0237       San-Antonio .0106
San-Fran    .0235       Mobile      .0106
Washington  .0235       Knoxville   .0106
Cleveland   .0216       JacksonVl   .0106
Oakland     .0212       Fort-Worth  .0106
Min-St.Pl   .0209       Birmingham  .0106
Pittsburgh  .0206       St.-Paul    .0094
St.-Louis   .0194       El-Paso     .0094
Phoenix     .0188       Richmond    .0088
Denver      .0188       Spokane     .0078
Buffalo     .0176       Rapid-City  .0078
Miami       .0176       Pueblo      .0078
Milwaukee   .0173       Des-Moines  .0078
San-Diego   .0165       Butte       .0078
New-Orleans .0159       Billings    .0078
Houston     .0159       Tucumcari   .0071
Cincinnati  .0151       Reno        .0071
Salt-Lake   .0141       Little-Rock .0071
Las-Vegas   .0141       Charleston  .0071
Dallas      .0141       Pocatello   .0063
Minneapolis .0125       Casper      .0063
                        Shreveport  .0053
                        Chattanooga .0053
                        Charlotte   .0053
                        Fargo       .0047

    Scott R. Turner
    ARPA:  (now) srt@UCLA-LOCUS.ARPA  (soon) srt@LOCUS.UCLA.EDU
    UUCP:  ...!{cepu,ihnp4,trwspp,ucbvax}!ucla-cs!srt
    FISHNET:  ...!{flounder,crappie,flipper}!srt@fishnet-relay.arpa

doug@cornell.UUCP (12/09/85)

From: doug (Douglas Campbell)


> From: wrd@tekigm2.UUCP (Bill Dippert)
> > From: doug (Douglas Campbell)
> > 
> > Just for fun, I printed out the probabilities of going to each city under
> > the original and the Seattle rules.  Here are some highlights:
> >
> Out of curiosity:  how did you calculate the odds to get the cities?  Did
> you take into consideration the odds to get to the region first, then the
> odds that once in that region you could roll that city?  Or what?

There are 72 combinations possible for each region/city roll.  (72 = 6x6x2
for the 2 six-sided and the even/odd roll).  The number of combinations that
result in the following values with 2 dice are listed below:

	Result		Ways
	------		----
	   2		  1
	   3		  2
	   4		  3
	   5		  4
	   6		  5
	   7		  6
	   8		  5
	   9		  4
	  10		  3
	  11		  2
	  12		  1

So, the probability of rolling, say, an even 5 is 4/72.  Adding up the
probabilities for each case gives the total probability.

The city probabilities were computed by multiplying the city's probability
within the region by the region's probability.  Thus, they should be
correct global probabilities (barring typos in my data).

					Doug Campbell
					doug@cornell.{UUCP|ARPA}

wrd@tekigm2.UUCP (Bill Dippert) (12/10/85)

> From: doug (Douglas Campbell)
> > From: wrd@tekigm2.UUCP (Bill Dippert)
> > > From: doug (Douglas Campbell)
> > > 
> > > Just for fun, I printed out the probabilities of going to each city under
> > > the original and the Seattle rules.  Here are some highlights:
> > >
> > Out of curiosity:  how did you calculate the odds to get the cities?  Did
> > you take into consideration the odds to get to the region first, then the
> > odds that once in that region you could roll that city?  Or what?
> 
> There are 72 combinations possible for each region/city roll.  (72 = 6x6x2
> for the 2 six-sided and the even/odd roll).  The number of combinations that

> result in the following values with 2 dice are listed below:

*****WRONG! YOU ARE CALCULATING PERMUTATIONS AND NOT COMBINATIONS.  FOR
DETERMINING THE ODDS OF REACHING A REGION YOU NEED THE COMBINATIONS OF THE
DICE NOT THE PERMUTATIONS.*****
> 
           "Permutations"                     "Combinations"
  	Result		Ways               Result         Ways
  	------		----               ------         ----
  	   2		  1                   2             1
  	   3		  2                   3             1
  	   4		  3                   4             2
  	   5		  4                   5             2
  	   6		  5                   6             3
  	   7		  6                   7             3
  	   8		  5                   8             3
  	   9		  4                   9             2
  	  10		  3                  10             2
  	  11		  2                  11             1
  	  12		  1                  12             1
                         ---                               ---
			 36                                21 
  
Regardless, no matter which way you calculate it, the NE bias goes away with
the Seattle Rules and you have a better chance at reaching more cities.
Using Seattle Rules, we have never had the problem of "trying to reach
a bad city" on the first roll.  (Quoting or misquoting an earlier posting.)  
I agree with the posters that changing the $ value of the railroads does
not make much sense, the prices are relative to the real rr value apparently.
But as stated, regardless of rules used, in the long run the rr cost does
not matter.  Which you buy considering the destination chart does.

However, I think that the basic game (either rules) is probably the best
railroad game on the market.  The only other game that is comparable is
the old "Dispatcher" game (also by A-H) but it had a rather bads bias also
-- one player always had the advantage over the other.  It was only a two
person game and I do not remember which player had the advantage.  I realize
that this is the wrong group to discuss this, but does anyone have any opinions
on the various railroad computer games now on the market?  (It would be nice
to have net.railroad.games!!)

--Bill--

franka@mmintl.UUCP (Frank Adams) (12/16/85)

In article <307@tekigm2.UUCP> wrd@tekigm2.UUCP (Bill Dippert) writes:
>> There are 72 combinations possible for each region/city roll.  (72 = 6x6x2
>> for the 2 six-sided and the even/odd roll).  The number of combinations that
>
>> result in the following values with 2 dice are listed below:
>
>*****WRONG! YOU ARE CALCULATING PERMUTATIONS AND NOT COMBINATIONS.  FOR
>DETERMINING THE ODDS OF REACHING A REGION YOU NEED THE COMBINATIONS OF THE
>DICE NOT THE PERMUTATIONS.*****
>> 
>           "Permutations"                     "Combinations"
>  	Result		Ways               Result         Ways
>  	------		----               ------         ----
>  	   2		  1                   2             1
>  	   3		  2                   3             1
>[etc]

No, he was right and you are wrong.  You are twice as likely to roll a
3 as a 2 on two dice.  Suppose you were rolling the dice one at a time.
To roll a two, you have to roll a 1 on each die.  The chance for each
die to be a 1 is (1/6), so the total chance is (1/6)(1/6) = (1/36).  To
roll a 3 you can roll a 1 on the first die and a 2 on the second, or a 2
on the first and a 1 on the second.  Each of these has a (1/36) chance, giving
a total chance of (2/36) or (1/18).

The odds aren't any different when both dice are rolled at the same time.

Frank Adams                           ihpn4!philabs!pwa-b!mmintl!franka
Multimate International    52 Oakland Ave North    E. Hartford, CT 06108