Cover Image

Symbol Emergence and The Solutions to Any Task

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Bennett, Michael Timothy
Format:	Preprint
Published:	2021
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Symbolic Representation for Any-to-Any Generative Tasks
by: Chen, Jiaqi, et al.
Published: (2025)

Compression, The Fermi Paradox and Artificial Super-Intelligence
by: Bennett, Michael Timothy
Published: (2021)

Are Biological Systems More Intelligent Than Artificial Intelligence?
by: Bennett, Michael Timothy
Published: (2024)

Emergent Causality and the Foundation of Consciousness
by: Bennett, Michael Timothy
Published: (2023)

On the Computation of Meaning, Language Models and Incomprehensible Horrors
by: Bennett, Michael Timothy
Published: (2023)

What the F*ck Is Artificial General Intelligence?
by: Bennett, Michael Timothy
Published: (2025)

Is Complexity an Illusion?
by: Bennett, Michael Timothy
Published: (2024)

A Mind Cannot Be Smeared Across Time
by: Bennett, Michael Timothy
Published: (2026)

AnyTaskTune: Advanced Domain-Specific Solutions through Task-Fine-Tuning
by: Cui, Jiaxi, et al.
Published: (2024)

Computational Dualism and Objective Superintelligence
by: Bennett, Michael Timothy
Published: (2023)

Are Flat Minima an Illusion?
by: Bennett, Michael Timothy
Published: (2026)

The Optimal Choice of Hypothesis Is the Weakest, Not the Shortest
by: Bennett, Michael Timothy
Published: (2023)

The Artificial Scientist: Logicist, Emergentist, and Universalist Approaches to Artificial General Intelligence
by: Bennett, Michael Timothy, et al.
Published: (2021)

Philosophical Specification of Empathetic Ethical Artificial Intelligence
by: Bennett, Michael Timothy, et al.
Published: (2021)

Time, Identity and Consciousness in Language Model Agents
by: Perrier, Elija, et al.
Published: (2026)

The Emergence of Abstract Thought in Large Language Models Beyond Any Language
by: Chen, Yuxin, et al.
Published: (2025)

Quantum AGI: Ontological Foundations
by: Perrier, Elija, et al.
Published: (2025)

Position: Stop Acting Like Language Model Agents Are Normal Agents
by: Perrier, Elija, et al.
Published: (2025)

Agent Identity Evals: Measuring Agentic Identity
by: Perrier, Elija, et al.
Published: (2025)

Why Is Anything Conscious?
by: Bennett, Michael Timothy, et al.
Published: (2024)

AnyTask: an Automated Task and Data Generation Framework for Advancing Sim-to-Real Policy Learning
by: Gong, Ran, et al.
Published: (2025)

4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities
by: Bachmann, Roman, et al.
Published: (2024)

Illusion or Algorithm? Investigating Memorization, Emergence, and Symbolic Processing in In-Context Learning
by: Niu, Jingcheng, et al.
Published: (2025)

SMAC-R1: The Emergence of Intelligence in Decision-Making Tasks
by: Deng, Yue, et al.
Published: (2024)

AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks
by: Ku, Max, et al.
Published: (2024)

Hidden in Plain Sight: Visual-to-Symbolic Analytical Solution Inference from Field Visualizations
by: Li, Pengze, et al.
Published: (2026)

Neuro-Symbolic Multitasking: A Unified Framework for Discovering Generalizable Solutions to PDE Families
by: Huang, Yipeng, et al.
Published: (2026)

On the Emergence of Cross-Task Linearity in the Pretraining-Finetuning Paradigm
by: Zhou, Zhanpeng, et al.
Published: (2024)

Limit Analysis for Symbolic Multi-step Reasoning Tasks with Information Propagation Rules Based on Transformers
by: Qin, Tian, et al.
Published: (2025)

Neuro-Symbolic Artificial Intelligence: A Task-Directed Survey in the Black-Box Models Era
by: Delvecchio, Giovanni Pio, et al.
Published: (2026)

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs
by: Vaghasiya, Jay, et al.
Published: (2025)

LLM-Augmented Symbolic Reinforcement Learning with Landmark-Based Task Decomposition
by: Kheirandish, Alireza, et al.
Published: (2024)

Animate Any Character in Any World
by: Wang, Yitong, et al.
Published: (2025)

Any2Any: Efficient Cross-Embodiment Transfer for Humanoid Whole-Body Tracking
by: Yang, Ming, et al.
Published: (2026)

Breaking Task Impasses Quickly: Adaptive Neuro-Symbolic Learning for Open-World Robotics
by: Lorang, Pierrick
Published: (2026)

Towards Reliable Code-as-Policies: A Neuro-Symbolic Framework for Embodied Task Planning
by: Ahn, Sanghyun, et al.
Published: (2025)

Lifting Traces to Logic: Programmatic Skill Induction with Neuro-Symbolic Learning for Long-Horizon Agentic Tasks
by: Shao, Jie-Jing, et al.
Published: (2026)

AnySR: Realizing Image Super-Resolution as Any-Scale, Any-Resource
by: Zhan, Wengyi, et al.
Published: (2024)

Training on the Test Task Confounds Evaluation and Emergence
by: Dominguez-Olmedo, Ricardo, et al.
Published: (2024)

Grounding LTL Tasks in Sub-Symbolic RL Environments for Zero-Shot Generalization
by: Pannacci, Matteo, et al.
Published: (2026)