On the prospects of incorporating large language models (llms) in automated planning and scheduling (aps)
Abstract Automated Planning and Scheduling is among the growing areas in Artificial
Intelligence (AI) where mention of LLMs has gained popularity. Based on a comprehensive …
Intelligence (AI) where mention of LLMs has gained popularity. Based on a comprehensive …
Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning
F Mumuni, A Mumuni - Cognitive Systems Research, 2024 - Elsevier
We review current and emerging knowledge-informed and brain-inspired cognitive systems
for realizing adversarial defenses, eXplainable Artificial Intelligence (XAI), and zero-shot or …
for realizing adversarial defenses, eXplainable Artificial Intelligence (XAI), and zero-shot or …
Balancing autonomy and alignment: a multi-dimensional taxonomy for autonomous LLM-powered multi-agent architectures
T Händler - arXiv preprint arXiv:2310.03659, 2023 - arxiv.org
Large language models (LLMs) have revolutionized the field of artificial intelligence,
endowing it with sophisticated language understanding and generation capabilities …
endowing it with sophisticated language understanding and generation capabilities …
Neurosymbolic ai for enhancing instructability in generative ai
Generative AI, especially via large language models (LLMs), has transformed content
creation across text, images, and music, showcasing capabilities in following instructions …
creation across text, images, and music, showcasing capabilities in following instructions …
In Defence of good old-fashioned artificial intelligence approaches in intelligent transportation systems
In recent years, Artificial Intelligence (AI) has been increasingly used in traffic management
and control, particularly in the smart city context. However, the vast majority of recent AI …
and control, particularly in the smart city context. However, the vast majority of recent AI …
[PDF][PDF] A Taxonomy for Autonomous LLM-Powered Multi-Agent Architectures.
T Händler - KMIS, 2023 - scitepress.org
Large language models (LLMs) have revolutionized the field of artificial intelligence,
endowing it with sophisticated language understanding and generation capabilities …
endowing it with sophisticated language understanding and generation capabilities …
The Case for Developing a Foundation Model for Planning-like Tasks from Scratch
B Srivastava, V Pallagani - arXiv preprint arXiv:2404.04540, 2024 - arxiv.org
Foundation Models (FMs) have revolutionized many areas of computing, including
Automated Planning and Scheduling (APS). For example, a recent study found them useful …
Automated Planning and Scheduling (APS). For example, a recent study found them useful …
Integrating symbolic reasoning into neural generative models for design generation
MJ Jacobson, Y Xue - Artificial Intelligence, 2025 - Elsevier
Abstract Design generation requires tight integration of neural and symbolic reasoning, as
good design must meet explicit user needs and honor implicit rules for aesthetics, utility, and …
good design must meet explicit user needs and honor implicit rules for aesthetics, utility, and …
Plan-SOFAI: A Neuro-Symbolic Planning Architecture
The notion of Artificial Intelligence (AI) has garnered significant attention in recent years and
AI-based tools have increasingly become integrated into our daily lives. As this strand of …
AI-based tools have increasingly become integrated into our daily lives. As this strand of …
A Proposal for a Language Model Based Cognitive Architecture
Abstract Large Language Models (LLMs) have shown impressive performance on a wide
variety of tasks. However, apparent limitations hinder their performance, especially on tasks …
variety of tasks. However, apparent limitations hinder their performance, especially on tasks …