Emotion-Based Memory and Decision System for Non-Humanoid AI Agents

This study proposes an emotion-driven memory and decision-making system for non-humanoid AI agents. The system models emotional perception, memory retention, and behavioral decision-making through lightweight rule-based mechanisms. Detailed system architecture and experimental results will be updated.

Authors

Publication Details

Journal
AHFE international
Published
2025-01-01
DOI
https://doi.org/10.54941/ahfe1006706
Primary Topic
Reinforcement Learning in Robotics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Emotion-Based Memory and Decision System for Non-Humanoid AI Agents

Zhiyun Lin
AHFE international
Reinforcement Learning in Robotics
article

Emotion-Based Memory and Decision System for Non-Humanoid AI Agents

Zhiyun Lin
article en

Abstract

This study proposes an emotion-driven memory and decision-making system for non-humanoid AI agents. The system models emotional perception, memory retention, and behavioral decision-making through lightweight rule-based mechanisms. Detailed system architecture and experimental results will be updated.

AHFE internationalVol. -5
Peace, Justice and strong institutions
Openalex Percentile: Top 93%
Reinforcement Learning in Robotics
DOISourceOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Emotion-Based Memory and Decision System for Non-Humanoid AI Agents — Zhiyun Lin · AHFE international (2025) | TGRS Research Map | TGRS