# Pitako -- Recommending Game Design Elements in Cicero

## TL;DR

This paper introduces Pitako, a recommender system integrated into the Cicero game design assistant, to suggest game mechanics and dynamics based on human-designed games, aiming to support creative tasks.

## Contribution

It presents a novel application of recommender systems in game design, specifically within an AI-based assistant to aid human creativity.

## Key findings

- Pitako successfully recommends game mechanics and dynamics.
- The system demonstrates potential to assist game designers in creative processes.
- Implementation within Cicero enhances human-AI collaboration in game design.

## Abstract

Recommender Systems are widely and successfully applied in e-commerce. Could they be used for design? In this paper, we introduce Pitako1, a tool that applies the Recommender System concept to assist humans in creative tasks. More specifically, Pitako provides suggestions by taking games designed by humans as inputs, and recommends mechanics and dynamics as outputs. Pitako is implemented as a new system within the mixed-initiative AI-based Game Design Assistant, Cicero. This paper discusses the motivation behind the implementation of Pitako as well as its technical details and presents usage examples. We believe that Pitako can influence the use of recommender systems to help humans in their daily tasks.