PUBLIC MARKS with tags 2006 & review

A review by Donny Kutzbach

After Ubuntu 6.06, Fedora Core 5 and SUSE 10.1 were released in the first two quarters of this year, I started to wonder about Mandriva. Was there still any reason for people to use Mandriva? Had the distribution become outdated?

A comprehensive compendium of game design "patterns"

Have you ever been curious about a book or movie and picked it up on impulse, despite knowing little to nothing about it, and then been just taken with it? Sometimes not having set expectations before experiencing something just makes you appreciate it that much more. Now, obviously I am talking about “Indigo Prophecy”, a game and not a book or movie, but usually I’m not so loose with my money as to drop it on a game that I have not researched carefully on the Internet. Fortunately, within the first couple minutes of game time I could tell that my 6th sense (game-sense) was still up to snuff.

1. Introduction A folksonomy is a type of distributed classification system. It is usually created by a group of individuals, typically the resource users. Users add tags to online items, such as images, videos, bookmarks and text. These tags are then shared and sometimes refined. A general review of social bookmarking tools, one popular use area of folksonomies, was given in the April edition of D-Lib [1]. In the article the authors elaborate on the approach taken by social classification systems and the motivators behind tagging. They write, "...tags are just one kind of metadata and are not a replacement for formal classification systems such as Dublin Core, MODS, etc.... Rather, they are a supplemental means to organise information and order search results."

Katamari Damacy = [N] x [V] [N] = Katamari (avatar) Objects [V] = Roll Clump (Quick Turn) (Dash) (Look) (Map) [N/N] (adjectives) = Size/Katamari Size/Object

Solid Balance is a stacking physics game by Solid Games. It’s a physics game that replicates something we all probably did in our childhood: stack boxes. The goal of each level is to stack an ever-increasing number of boxes and other objects without tipping everything over.

The Best of 2005 is a celebration of the best games reviewed here at Jayisgames over the past year. It is not an exhaustive list of all the best games available since we can only review the games that we come to know about. If you have a game, or are part of a team that produces them, and would like to have your game considered for a future review here, then please use my email address in the sidebar to submit a link.

A Review of Turing (A Novel about Computation) Christos H. Papadimitriou MIT Press 2003/2005 paper 208 pp. $32.00/$13.95 paper

Black and White 2 AI I played Black and White 2 for many hours yesterday. The computer player and I were in a stalemate. The computer kept sending armies against me and I kept defeating them. I had built my town with walls around it, and then put archers on top of the walls. I was building up my strength while defending myself, in preparation for a big attack. I felt pretty safe. After around 40 attacks, I realized that they weren't all the same. The computer wasn't using the same attackers each time. It tried the creature, archers, swordsmen, and catapults. It tried combinations of them. Sometimes it would come through my main entrance, and sometimes it would come around the back entrance to the city. The computer player also destroyed major sections of the city using the “earthquake” power, but I recovered from these too. After a while the enemy creature figured out that he should kick my wall in. His archers and swordsmen stayed back, out of range, while the creature came up and destroyed my wall, including the archers on it. After it breached the wall, the army swarmed into my town and killed half my people. I rebuilt my wall and started to recover, but the computer's newly discovered strategy worked well. It tried several variants but kept going back to the same approach: kick down the wall, then swarm the town. This forced me to try some new strategies. Although being on the wall has advantages, it leaves the archers vulnerable when the enemy creature attacks the wall. So I moved them behind the wall. I've also learned to open my gate, wait for the enemy army to get close, then close the gate and set their army on fire. I have no good strategy for the creature knocking down my wall though, and I'm constantly losing townspeople and then rebuilding. After a long stalemate, the computer AI learned how to attack more effectively, and now I'm having trouble keeping my city safe. I'm very impressed by the AI. I'm not sure how it's programmed, but it tried out many different things and learned which ones work the best. From the game AI techniques I've learned (genetic algorithms, neural networks, fuzzy logic, state machines, etc.), the AI in Black and White 2 seems to match most closely with what I know about reinforcement learning. It's a technique that uses online learning (observing results as the game is played) instead of training (from examples constructed ahead of time), allows both exploration (trying new things in order to learn) and exploitation (taking advantage of what you've learned), and associates rewards (like whether the attack was successful) with actions (like kicking down the wall and keeping the army away from my archers). I recommend Sutton and Barto's book if you want to learn more. It's entirely possible though that the game uses something much simpler that just happens to look impressive, but my guess is that it's using reinforcement learning. — Amit — Monday, December 12, 2005 Comments: Post a Comment Links to this post: