August 2003
- A potential best-seller? Richard A. Bartle
- Identifying Players Scion Altera
- Identifying Players Crosbie Fitch
- Metrics for assessing game design David Kennerly
- ADMIN: Crunch thread J C Lawrence
- Mapping real money into MUD money Alex Chacha
- Mapping real money into MUD money Katie Lukas
- Mapping real money into MUD money David Kennerly
- Mapping real money into MUD money Kent Peterson
- Mapping real money into MUD money Peter Tyson
- Mapping real money into MUD money Matt Mihaly
- Mapping real money into MUD money Paul Canniff
- Research in the Gaming Industry Damion Schubert
- Research in the Gaming Industry Kerry Fraser-Robinson
- Research in the Gaming Industry Richard A. Bartle
- Research in the Gaming Industry Matthew S. Ayres
- Mapping real money into MUD-Money Henrik Johansson
- Java or LPC (DGD)? Ben Chambers
- Java or LPC (DGD)? Ammon Lauritzen
- Java or LPC (DGD)? T. Alexander Popiel
- Java or LPC (DGD)? ceo
- Java or LPC (DGD)? Lars Duening
- Java or LPC (DGD)? Torgny Bjers
- Java or LPC (DGD)? Ryan Underwood
- Reputation systems: a possible path for investigation J C Lawrence
- Reputation systems: a possible path for investigation david.l.smith@mail-x-change.com
On Sunday, August 10, 2003, J C Lawrence said
> Reputation systems are usually thought of as interesting ways for
> the game system to define and provide predetermined and
> service-qualified hinting and decision making keys to players
> about other players (PK, trade, trust etc).
Actually, as a developer, I was originally more interested in a
reputation system that would let me add a noosphere {The article
mentioned "http://www.firstmonday.org/issues/issue7_7/masum/" by
Hassan Masum uses this notion, and it fits much better than my
previous thinking. In a simulated environment, a part of the state
of that simulation is the body of experience in the system: things
that "everyone knows". That this includes much more than "faction a
reaction bonus towards faction b" isn't well conveyed by most
systems that I've seen). While the per-faction reputation tracking
systems that today boil down to the one-dimensional relationship of
"reaction bonus" are better than nothing, a more free-form (or
rather, higher dimensionality of comparison without much more code)
approach could make for some interesting emergent characteristics
from the state of the noosphere.
For instance:
-- All non-player characters in the simulation form opinions using
the description of things which "disturb" them (to borrow from
NWN's scripting notion of "disturb"). The opinion expresses
values, positive, or negative along a dimension .The descriptions
could, for instance, be tagged at build-time with "noticeable"
characteristics. These could get built into an opinion by the
character when it's disturbed (examples "I hate losing hp", "I
like gaining hp", "I really hate getting hit by shiny glowing
bastard sword").
-- When non-player characters interact with each other (in a
flagged area together for a given time) they could exchange some
randomly chosen set of opinions (go go gossping mobiles "oh my
god, did you hear? Vnum 0x5A7F73 has the hots for That pretty
little hexen 0x64625FF").
-- With some framework to cross correlate context data (that with
is big, I agree), it would be fairly straightforward to let the
system run itself with very easy contextual input from the
designers. Additionally, if the ability to cross correlate is
very good, scanning player character in-character channels for
opinions would be an amazing addition.
-- Admittedly, designing a system with a fixed, and therefore
straightforward to correlate, but arbitrarily dimensioned
noosphere should be possible (Hey, if everyone expressed their
opinions in a known form, and there was a known vocabulary for
that form, at least parsing them out and deriving things from
them, complex as they may become, should be... something to which
a solution could be found--I couldn't bring myself to type easy,
or straightforward in there). And it would likely have huge
ramifications to the depth of immersion that the system
develops. Something as simple as the following line of thought is
what I'm thinking about.
-- All low level characters have gear that sports a bunch of
common tags "cheap", "flashy", "new", etc. Coincidently, low level
characters often prey on a given non-player character in a given
area (killing rabbits outside town is a common pastime). So the
population of rabbits learns to be wary of those wearing that
gear. Or they become afraid of humans altogether.
-- But a system flexible enough to assume only "a common
vocabulary and grammar" for opinions, that wouldn't barf the first
time someone drops a few bytes of leet speak into a role-play
channel, Wow.
-- If you wanted to finish the circle, tie it into your player
character's experience, depending on the era, allow them to buy a
newspaper, or "chat up the barkeep" to get a little slice of the
hot gossip in the system nooosphere. Might be nice to know that
the local keep thinks that the guy you're doing business with is
shady, might be worth your silver to learn that he's rumored to
have killed three good men. Then again, maybe you're fine going
off in his party with him, never can tell really...
But for me, the man behind the bar, he usually knows. - Reputation systems: a possible path for investigation Brian 'Psychochild' Green
- Reputation systems: a possible path for investigation Andrew L. Tepper
- Reputation systems: a possible path for investigation Matt Mihaly
- Reputation systems: a possible path for investigation Vincent Archer
- Reputation systems: a possible path for investigation david.l.smith@mail-x-change.com
- Reputation systems Castronova, Edward
- Reputation systems J C Lawrence
- Mapping real money into MUD-Money Ren Reynolds
- MudDev Faq - part 2 Marian Griffith
- PHP muds Peter Harkins
- PHP muds Torgny Bjers
- Slashdot story about review of Bartle's new book Christer Enfors XW {TN/PAC}
- Slashdot story about review of Bartle's new book Dave Rickey
- Slashdot story about review of Bartle's new book Evan Harper
- Slashdot story about review of Bartle's new book Richard A. Bartle
- Slashdot story about review of Bartle's new book Tamzen Cannoy
- Slashdot story about review of Bartle's new book Kerry Fraser-Robinson
- Slashdot story about review of Bartle's new book Richard A. Bartle
- Slashdot story about review of Bartle's new book Dave Rickey
- Slashdot story about review of Bartle's new book Marc Bowden
- The lack of Creativity and Beauty a game user james_nesfield@nesfieldcapital.com
- Artists and Copyrights Derek Licciardi
- Artists and Copyrights Paolo Piselli
- Artists and Copyrights Marian Griffith
- Artists and Copyrights Paul Dahlke
- Using Windows Scripting Host Owen Matt
- Using Windows Scripting Host F. Randall Farmer
- Using Windows Scripting Host Karl Dyson
- Using Windows Scripting Host Tess Lowe
- Better Game Design through Data Mining David Kennerly
- Better Game Design through Data Mining Chris "Diamonds" Stewart
- When Will Player-Avatar Integrity Be a Feature of Persistent Worlds? vladimir cole
- When Will Player-Avatar Integrity Be a Feature of Persistent Worlds? Martin Bassie
- When Will Player-Avatar Integrity Be a Feature of Persistent Worlds? Craig H Fry
- When Will Player-Avatar Integrity Be a Feature of Persistent Worlds? Matt Mihaly
- When Will Player-Avatar Integrity Be a Feature ofPersistent Worlds? Michael Tresca
- When Will Player-Avatar Integrity Be a Feature ofPersistent Worlds? Baar - Lord of the Seven Suns
- [Fwd: Metrics for assessing game design] ceo
- Examine/Look Elia Morling
- Examine/Look Ammon Lauritzen
- Examine/Look Marc Bowden
- Examine/Look Lars Duening
- Examine/Look Eamonn O'Brien
- [BUS] Account-management systems ceo
- [BUS] Account-management systems Rayzam
- [BUS] Account-management systems Christopher Allen
- Job opportunity on Star Wars Galaxies Koster, Raph
- NCSoft yearly report Mathieu Castelli
- MUD using the .net framework Norman Beresford
- MUD using the .net framework John Buehler
- MUD using the .net framework James F. Bellinger
- MUD using the .net framework Linder Support Team
- Virtual property lawsuit in China Koster, Raph
- Virtual property lawsuit in China Nicolai Hansen
- Virtual property lawsuit in China Daniel Anderson
- Virtual property lawsuit in China Kerry Fraser-Robinson
- Virtual property lawsuit in China Vladimir Cole
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- Virtual property lawsuit in China Nicolai Hansen
- Virtual property lawsuit in China ren@aldermangroup.com
- Expected value and standard deviation. Jeff Cole
- Expected value and standard deviation. Scion Altera
- Expected value and standard deviation. Jeremy Hill
- Expected value and standard deviation. katie@stickydata.com
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- Expected value and standard deviation. Ben Chambers
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- Expected value and standard deviation. Kwon J. Ekstrom
- Expected value and standard deviation. Eamonn O'Brien
- Expected value and standard deviation. Kwon J. Ekstrom
- Expected value and standard deviation. Freeman, Jeff
- Expected value and standard deviation. Zach Collins {Siege}
- Expected value and standard deviation. Bernard Graham
- Expected value and standard deviation. Freeman, Jeff
- Expected value and standard deviation. Jeff Cole
- Expected value and standard deviation. Koster, Raph
- Expected value and standard deviation. Katie Lukas
- Expected value and standard deviation. Fidelio Gwaihir
- Expected value and standard deviation. Katie Lukas
- Expected value and standard deviation. Matt Mihaly
- Expected value and standard deviation. Martin Bassie
- Expected value and standard deviation. Katie Lukas
- Expected value and standard deviation. Matt Mihaly
- Expected value and standard deviation. Paul Schwanz
- Expected value and standard deviation. Matt Mihaly
- Expected value and standard deviation. Koster, Raph
- Expected value and standard deviation. Paul Schwanz
- Expected value and standard deviation. Amanda Walker
- Expected value and standard deviation. John Buehler
- Expected value and standard deviation. Kwon J. Ekstrom
- Expected value and standard deviation. Jeff Cole
- Expected value and standard deviation. Paul Schwanz
- Expected value and standard deviation. Dr. Cat
- Expected value and standard deviation. David Loving
- Expected value and standard deviation. Pat Ditterline
- Expected value and standard deviation. Michael Chui
- Expected value and standard deviation. Matt Mihaly
- Expected value and standard deviation. Kwon J. Ekstrom
- Expected value and standard deviation. Chanur Silvarian
- Expected value and standard deviation. Katie Lukas
- Expected value and standard deviation. Daniel.Harman@barclayscapital.com
- Expected value and standard deviation. Oliver Smith
- Expected value and standard deviation. Daniel Anderson
- Expected value and standard deviation. Koster, Raph
- Expected value and standard deviation. Nicolai Hansen
- Expected value and standard deviation. Dark Lamenth
- Expected value and standard deviation. Fidelio Gwaihir
- Expected value and standard deviation. Ola Fosheim Grøstad
- Expected value and standard deviation. gbtmud
- Expected value and standard deviation. Tom "cro" Gordon
- Expected value and standard deviation. Sheela Caur'Lir
- Expected value and standard deviation. Roger Hicks
- Expected value and standard deviation. Ola Fosheim Grøstad
- Expected value and standard deviation. Freeman, Jeff
- Expected value and standard deviation. Matt Mihaly
- Expected value and standard deviation. Tom "cro" Gordon