| Name | Version | Summary | date |
| dialectical-framework |
0.6.0 |
A dialectical framework for augmented intelligence. AI reasoning powered with dialectics supports humans in: system optimization (psychology, engineering, business, politics, etc.); dispute resolution (mediation, conflicts, negotiations, etc.); decision-making (dilemmas, challenging situations, win-win, etc.). |
2025-10-07 07:44:38 |
| proactiveagent |
0.1.0 |
A Python framework to transform your AI from reactive to proactive with intelligent timing and context-aware wake-up patterns - Your agent decides when to speak! |
2025-09-19 22:03:04 |
| topsis-krishna |
1.0.1 |
A Python implementation of the TOPSIS decision-making method |
2025-08-10 19:22:03 |
| topsis-Mridul |
1.0.0 |
A Python implementation of the TOPSIS decision-making method |
2025-08-10 19:20:48 |
| arbitration-graphs |
0.10.0 |
Hierarchical behavior models for complex decision-making and behavior generation in robotics |
2025-07-15 13:35:07 |
| pi-optimal |
0.1.2 |
Python package for easy, data-efficient RL-based decision-making in business applications. |
2025-02-06 11:41:28 |
| 102217092-Aditya |
0.1.1 |
Topsis Package by Aditya Pandey |
2025-01-19 22:45:30 |
| active-pynference |
0.1.8 |
A Python implementation of an Active Inference engine using Sophisticated Inference. |
2024-10-14 07:37:56 |
| json-criteria |
0.2.0 |
Python library designed for evaluating data against serializable JSON criteria |
2024-04-28 03:40:04 |
| tactics2d |
0.1.6 |
Tactics2D: A Reinforcement Learning Environment Library with Generative Scenarios for Driving Decision-making |
2024-03-31 17:42:16 |