3 citations · 4 across the 6 of their papers we have counts for
6 papers · 1 filter
Requirements for Aligned, Dynamic Resolution of Conflicts in Operational Constraints
Steven J. Jones, Robert E. Wray, John E. Laird
Deployed, autonomous AI systems must often evaluate multiple plausible courses of action (extended sequences of behavior) in novel or under-specified contexts. Despite extensive tr…
Applying Cognitive Design Patterns to General LLM Agents
Robert E. Wray, James R. Kirk, John E. Laird
One goal of AI (and AGI) is to identify and understand specific mechanisms and representations sufficient for general intelligence. Often, this work manifests in research focused o…
Requirements for Recognition and Rapid Response to Unfamiliar Events Outside of Agent Design Scope
Robert E. Wray, Steven J. Jones, John E. Laird
Regardless of past learning, an agent in an open world will face unfamiliar events outside of prior experience, existing models, or policies. Further, the agent will sometimes lack…
Eliciting Problem Specifications via Large Language Models
Robert E. Wray, James R. Kirk, John E. Laird
Cognitive systems generally require a human to translate a problem definition into some specification that the cognitive system can use to attempt to solve the problem or perform t…
Exploiting Language Models as a Source of Knowledge for Cognitive Agents
James R. Kirk, Robert E. Wray, John E. Laird
Large language models (LLMs) provide capabilities far beyond sentence completion, including question answering, summarization, and natural-language inference. While many of these c…
Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis
James R. Kirk, Robert E. Wray, Peter Lindes +1
Large language models (LLMs) offer significant promise as a knowledge source for task learning. Prompt engineering has been shown to be effective for eliciting knowledge from an LL…