Image de couverture de livre

Memory as Resonance: A Biomimetic Architecture for Infinite Context Memory on Ergodic Phonetic Manifolds

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Houichime, Tarik, Souhar, Abdelghani, Amrani, Younes El
Format:	Preprint
Publié:	2025
Sujets:	Neural and Evolutionary Computing Artificial Intelligence Information Retrieval Symbolic Computation Software Engineering
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Introduction to Analytical Software Engineering Design Paradigm
par: Houichime, Tarik, et autres
Publié: (2025)

A Remedy to Compute-in-Memory with Dynamic Random Access Memory: 1FeFET-1C Technology for Neuro-Symbolic AI
par: Yin, Xunzhao, et autres
Publié: (2024)

The Price of Meaning: Why Every Semantic Memory System Forgets
par: Barman, Sambartha Ray, et autres
Publié: (2026)

High-resolution spatial memory requires grid-cell-like neural codes
par: Cotteret, Madison, et autres
Publié: (2025)

Decoupling Representation and Learning in Genetic Programming: the LaSER Approach
par: Le, Nam H., et autres
Publié: (2025)

Improving Evaluation of Recombination-based Cartesian Genetic Programming
par: Tran, Duy Long, et autres
Publié: (2026)

SEER: Spectral Entropy Encoding of Roles for Context-Aware Attention-Based Design Pattern Detection
par: Houichime, Tarik, et autres
Publié: (2026)

Symbolic Discovery of Stochastic Differential Equations with Genetic Programming
par: de Vries, Sigur, et autres
Publié: (2026)

Assessing Reproducibility in Evolutionary Computation: A Case Study using Human- and LLM-based Assessment
par: Da Ros, Francesca, et autres
Publié: (2026)

Artificial Intelligence Software Structured to Simulate Human Working Memory, Mental Imagery, and Mental Continuity
par: Reser, Jared Edward
Publié: (2022)

Predictive Associative Memory: Retrieval Beyond Similarity Through Temporal Co-occurrence
par: Dury, Jason
Publié: (2026)

Enes Causal Discovery
par: Kafantaris, Alexis
Publié: (2026)

X-KAN: Optimizing Local Kolmogorov-Arnold Networks via Evolutionary Rule-Based Machine Learning
par: Shiraishi, Hiroki, et autres
Publié: (2025)

Guiding Genetic Programming with Graph Neural Networks
par: Wyrwiński, Piotr, et autres
Publié: (2024)

Looking Through Glass Box
par: Kafantaris, Alexis
Publié: (2026)

Symbolic Regression with a Learned Concept Library
par: Grayeli, Arya, et autres
Publié: (2024)

Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
par: Matsubara, Yoshitomo, et autres
Publié: (2022)

Symbolic Regression with Multimodal Large Language Models and Kolmogorov Arnold Networks
par: Harvey, Thomas R., et autres
Publié: (2025)

Polyra Swarms: A Shape-Based Approach to Machine Learning
par: Klüttermann, Simon, et autres
Publié: (2025)

Evolutionary Causal Discovery with Relative Impact Stratification for Interpretable Data Analysis
par: Deng, Ou, et autres
Publié: (2024)

TinyverseGP: Towards a Modular Cross-domain Benchmarking Framework for Genetic Programming
par: Kalkreuth, Roman, et autres
Publié: (2025)

Deep Symbolic Optimization: Reinforcement Learning for Symbolic Mathematics
par: Hayes, Conor F., et autres
Publié: (2025)

Search-based Selection of Metamorphic Relations for Optimized Robustness Testing of Large Language Models
par: Hyun, Sangwon, et autres
Publié: (2025)

LLaMEA-SAGE: Guiding Automated Algorithm Design with Structural Feedback from Explainable AI
par: van Stein, Niki, et autres
Publié: (2026)

Path Analysis for Effective Fault Localization in Deep Neural Networks
par: Hashemifar, Soroush, et autres
Publié: (2023)

Generational Computation Reduction in Informal Counterexample-Driven Genetic Programming
par: Helmuth, Thomas, et autres
Publié: (2024)

Automated Prompt Engineering for Cost-Effective Code Generation Using Evolutionary Algorithm
par: Taherkhani, Hamed, et autres
Publié: (2024)

REvolution: An Evolutionary Framework for RTL Generation driven by Large Language Models
par: Min, Kyungjun, et autres
Publié: (2025)

BLADE: Benchmark suite for LLM-driven Automated Design and Evolution of iterative optimisation heuristics
par: van Stein, Niki, et autres
Publié: (2025)

Mechanisms of Symbol Processing for In-Context Learning in Transformer Networks
par: Smolensky, Paul, et autres
Publié: (2024)

PBiLoss: Popularity-Aware Regularization to Improve Fairness in Graph-Based Recommender Systems
par: Naeimi, Mohammad, et autres
Publié: (2025)

Cognitive Evolutionary Learning to Select Feature Interactions for Recommender Systems
par: Yu, Runlong, et autres
Publié: (2024)

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation
par: Nemati, Narges, et autres
Publié: (2025)

Adaptive Long-term Embedding with Denoising and Augmentation for Recommendation
par: Akhlaghi, Zahra, et autres
Publié: (2025)

Modelling Open-Source Software Reliability Incorporating Swarm Intelligence-Based Techniques
par: Shatnawi, Omar
Publié: (2024)

Unlocking the Secrets of Software Configuration Landscapes-Ruggedness, Accessibility, Escapability, and Transferability
par: Huang, Mingyu, et autres
Publié: (2022)

Guiding the Search Towards Failure-Inducing Test Inputs Using Support Vector Machines
par: Sorokin, Lev, et autres
Publié: (2024)

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems
par: Yousefizadeh, Hossein, et autres
Publié: (2024)

Many-Objective Neuroevolution for Testing Games
par: Feldmeier, Patric, et autres
Publié: (2025)

Socialz: Multi-Feature Social Fuzz Testing
par: Zanartu, Francisco, et autres
Publié: (2023)