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Credit assignment: Challenges and opportunities in develo** human-like ai agents
TN Nguyen, C McDonald, C Gonzalez - ar** effective multi-agent systems (MASs) is critical for many applications requiring
collaboration and coordination with humans. Despite the rapid advance of multi-agent deep …
collaboration and coordination with humans. Despite the rapid advance of multi-agent deep …
SpeedyIBL: A comprehensive, precise, and fast implementation of instance-based learning theory
Instance-based learning theory (IBLT) is a comprehensive account of how humans make
decisions from experience during dynamic tasks. Since it was first proposed almost two …
decisions from experience during dynamic tasks. Since it was first proposed almost two …
[HTML][HTML] A Retrieval-Augmented Generation Approach for Data-Driven Energy Infrastructure Digital Twins
Highlights What are the main findings? Novel data-driven and knowledge-based energy
digital-twin framework integrating a Retrieval-Augmented Generation (RAG) approach …
digital-twin framework integrating a Retrieval-Augmented Generation (RAG) approach …
Credit Assignment: Challenges and Opportunities in Develo** Human-like Learning Agents
Temporal credit assignment is the process of distributing delayed outcomes to each action in
a sequence, which is essential for learning to adapt and make decisions in dynamic …
a sequence, which is essential for learning to adapt and make decisions in dynamic …
Modeling Human Behavior Part I--Learning and Belief Approaches
There is a clear desire to model and comprehend human behavior. Trends in research
covering this topic show a clear assumption that many view human reasoning as the …
covering this topic show a clear assumption that many view human reasoning as the …
Predicting and Understanding Human Action Decisions: Insights from Large Language Models and Cognitive Instance-Based Learning
Abstract Large Language Models (LLMs) excel in tasks from translation to complex
reasoning. For AI systems to help effectively, understanding and predicting human behavior …
reasoning. For AI systems to help effectively, understanding and predicting human behavior …
Minimap: an interactive dynamic decision making game for search and rescue missions
Many aspects of humans' dynamic decision-making (DDM) behaviors have been studied
with computer-simulated games called microworlds. However, most microworlds only …
with computer-simulated games called microworlds. However, most microworlds only …
Assessing the influence of different types of probing on adversarial decision-making in a deception game
Deception, which includes leading cyber-attackers astray with false information, has shown
to be an effective method of thwarting cyber-attacks. There has been little investigation of the …
to be an effective method of thwarting cyber-attacks. There has been little investigation of the …