Close
Close
Advanced Search

Monster A.I. - Goblins and OrcsClick to magnify
Quick Preview
/gs_flipbook/flip.php?xml=/demo_xml/298577.xml&w=500&h=194
Full‑size Preview
https://watermark.drivethrurpg.com/pdf_previews/298577-sample.pdf

Monster A.I. - Goblins and Orcs

ADD TO WISHLIST >


If you're a member of a marginalized community and/or are facing financial hardship, you can opt-in for a discount of 40% off by clicking here. No judgment, no questions asked.

October 27 2022: Monster A.I. has been updated to version 2.0. Lots of changes! The rules have been totally rewritten to be clearer and simpler. The monsters are rebalanced to be moderately challenging at levels 1 and 2. 

The best kept secret in solo RPGs just got better!

Monster A.I. is a ruleset for tabletop roleplaying games that allows you to fight monsters that control themselves. Monster A.I. is highly compatible with many tabletop RPGs, and can be hacked to fit your favorite game systems and settings.

Monster A.I. is great for low-prep sessions, solo and GM-less games, and for players who want combat to have the tactical feel of strategy video games like Final Fantasy Tactics and XCOM. 

Setting up a combat encounter with Monster A.I. is easy. Simply place a sheet of Monster A.I. schemes in front of the players where everyone can see. Choose some monsters from those schemes or use monsters from one of the suggested encounters. Create a turn order deck with turn cards for those monsters and the players. And finally, populate a battle map with miniatures.

In this product you get the complete rules, a quick reference, an example of play, a guide to programming your own monster A.I., 10 unique A.I.s for the Goblin and Orc factions, suggested encounters for levels 1 and 2, and blank templates for creating your custom A.I.

Here's how it works. In Monster A.I. each monster type has a unique A.I. scheme containing its stats and a list of A.I. behaviors. A monster chooses its actions based on fulfilling the condition tied to that set of actions. A condition can be a special rule such as "If this creature has half or less HP" or "If an ally died this round", or it can be a proximity condition (symbolized by a hex with a number or range of numbers in it). With proximity conditions, we check to see if there are any enemies within a number of spaces written inside the symbol from the monster. When a condition is fulfilled, the monster performs that action. It's a very similar system to one used in the board game Sword and Sorcery.

The second half of the rules are the ones for pathfinding. These were liberally borrowed from (and improved upon) the board game Gloomhaven. Gloomhaven has a robust set of rules that control pathfinding and movement, but that game uses random cards to determine what actions the monster takes. This can make for unpredictable enemies, but the AI tended to be inscrutable and often did some nonsensical things on their turns. Monster A.I. fixes those problems by applying a logical set of A.I. behaviors to the monster's actions.

It's a rather elegant system, and I've included a one-page guide to creating your own monster A.I.s with the rules.

Kind words said about Monster A.I.

"Monster AI is extremely cool... It's just one of those really sharp ideas that comes at games from a different direction than you usually see." – Bret Gillan (The Final Girl)

"How many nights do we all cancel 'cause someone can't make it? Well, tools like this are how we can play #ttrpgs without even needing other people! I really like this technique and layout of information, it puts it all right in front of you. Def. worth a look" – Natalie Ash (Ember + Ash, So You've Been Thrown Down a Well)

“I’ve been waiting for something like this for ages. Brilliantly designed, easy to use, and applicable in almost any system.” – Dai Shugars (GMDK)

"Yo anyone who ever complains about prep: this is a nifty tool" – Fiona Maeve Geist (Mothership: Dead Planet)

"I like what I see and I want to see more of it... This type of asset could help so many kids and adults that have a strong desire to play TTRPGs but can't defeat their social anxiety." – Deviston (Cobalt Sage Creations)

pixel_trans.gif
pixel_trans.gif
 
 Customers Who Bought this Title also Purchased
pixel_trans.gif
pixel_trans.gif
Reviews (2)
Discussions (2)
Customer avatar
Roger P May 20, 2021 11:13 am UTC
PURCHASER
Hi,

I would like to ask some questions:

I don't understand the orc warrior example: there are two AI behaviors linked to the 2+ condition. If the monster is 2 spaces from a target, it will never perform a melee attack? As I understand it, if tehre are two equal conditions, the first one will be always chosen.
It could be possible to make text-fillable the grey space of the cards?
The move action includes go away from the target, looking for the best position to perform a ranged attack?

Thanks.
Reply
Customer avatar
Victor (Seemingly Jaded) G May 21, 2021 2:41 am UTC
PUBLISHER
Hi these are great questions.

1. You’re correct to identify that two identical conditions (or a condition that encompasses another) would create problems for activating the second condition. However, the first 2+ condition on the Orc Warrior has a Charge keyword that prevents it from always being activated. Let’s read the relevant text from the rules:

“Monsters cannot perform A.I. behaviors that contain any charges until all charges are removed; skip these A.I. behaviors as though their conditions cannot be fulfilled.”

When the first condition resolves and charges are placed on it, it cannot resolve again until all charges are removed, opening up the second condition to be activated.

2. Text-fillable options are certainly on my to-do list. I’ll do my best to include it in a future revision.

3. The “maximize the effectiveness” rule modifies any action as it interacts with more complex rules within the systems you use. Let’s look...See more
Customer avatar
December 26, 2019 4:26 pm UTC
PURCHASER
link to preview fails
Reply
Customer avatar
Victor (Seemingly Jaded) G December 26, 2019 6:23 pm UTC
PUBLISHER
Should be fixed now. : )
Reply
Customer avatar
December 27, 2019 3:20 pm UTC
PURCHASER
Yup, thanks
Narrow Results
$ to $
 Follow Your Favorites!
NotificationsSign in to get custom notifications of new products!















Product Information
Silver seller
Author(s)
Pages
12
File Size:
6.05 MB
Format
Original electronic Click for more information
Scanned image
These products were created by scanning an original printed edition. Most older books are in scanned image format because original digital layout files never existed or were no longer available from the publisher.

For PDF download editions, each page has been run through Optical Character Recognition (OCR) software to attempt to decipher the printed text. The result of this OCR process is placed invisibly behind the picture of each scanned page, to allow for text searching. However, any text in a given book set on a graphical background or in handwritten fonts would most likely not be picked up by the OCR software, and is therefore not searchable. Also, a few larger books may be resampled to fit into the system, and may not have this searchable text background.

For printed books, we have performed high-resolution scans of an original hardcopy of the book. We essentially digitally re-master the book. Unfortunately, the resulting quality of these books is not as high. It's the problem of making a copy of a copy. The text is fine for reading, but illustration work starts to run dark, pixellating and/or losing shades of grey. Moiré patterns may develop in photos. We mark clearly which print titles come from scanned image books so that you can make an informed purchase decision about the quality of what you will receive.
pixel_trans.gif
Original electronic format
These ebooks were created from the original electronic layout files, and therefore are fully text searchable. Also, their file size tends to be smaller than scanned image books. Most newer books are in the original electronic format. Both download and print editions of such books should be high quality.
File Last Updated:
October 27, 2022
This title was added to our catalog on December 25, 2019.
Publisher
Seemingly Jaded
Publisher Average Rating