Tech Xplore on MSN

AI agents debate their way to improved mathematical reasoning

Large language models (LLMs), artificial intelligence (AI) systems that can process and generate texts in various languages, ...
The Bakersfield Californian

Logical Intelligence Achieves 76 Percent on Putnam Benchmark, Highlighting Shift Beyond Large Language Models to Language-free, Mathematically Grounded Models

Over the last decade, artificial intelligence (AI) has been largely built around large language models (LLMs). These systems are based on a language and guess words in a chain in the form of tokens.
The Zimbabwe IndependentOpinion

AI agency, AI agent: Clearing the confusion in dual meaning terms.

Modern AI Agents are now typically powered by Large Language Models (LLMs). The LLM acts as the Agent’s reasoning core, ...
Hosted on MSN

AI Agents vs. Agentic AI: What’s the Difference?

AI agents perceive their environment, make decisions, and take action, while agentic AI operates with greater autonomy, proactiveness, and adaptability. It improves traditional AI by anticipating ...
Nature

Epistemic Logic and Multi-Agent Systems

Epistemic logic provides a rigorous formal framework for representing and reasoning about the knowledge and beliefs of agents, forming a cornerstone in the study of multi-agent systems. This ...