Credit assignment: Challenges and opportunities in developing human-like ai agents
Temporal credit assignment is crucial for learning and skill development in natural and
artificial intelligence. While computational methods like the TD approach in reinforcement …
artificial intelligence. While computational methods like the TD approach in reinforcement …
Theory of mind from observation in cognitive models and humans
TN Nguyen, C Gonzalez - Topics in cognitive science, 2022 - Wiley Online Library
A major challenge for research in artificial intelligence is to develop systems that can infer
the goals, beliefs, and intentions of others (ie, systems that have theory of mind, ToM). In this …
the goals, beliefs, and intentions of others (ie, systems that have theory of mind, ToM). In this …
[HTML][HTML] 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 …
Learning in Cooperative Multiagent Systems Using Cognitive and Machine Models
Developing 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 …
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 …
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 …
[PDF][PDF] Speedyibl: A solution to the curse of exponential growth in instance-based learning models of decisions from experience
Computational cognitive modeling is a useful methodology to explore and validate theories
of human cognitive processes. Often cognitive models are used to simulate the process by …
of human cognitive processes. Often cognitive models are used to simulate the process by …
Predicting and Understanding Human Action Decisions: Insights from Large Language Models and Cognitive Instance-Based Learning
TN Nguyen, K Jamale, C Gonzalez - arXiv preprint arXiv:2407.09281, 2024 - arxiv.org
Large Language Models (LLMs) have demonstrated their capabilities across various tasks,
from language translation to complex reasoning. Understanding and predicting human …
from language translation to complex reasoning. Understanding and predicting human …
Minimap: an interactive dynamic decision making game for search and rescue missions
TN Nguyen, C Gonzalez - Behavior Research Methods, 2024 - Springer
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 …
Modeling Human Behavior Part II--Cognitive approaches and Uncertainty
As we discussed in Part I of this topic, there is a clear desire to model and comprehend
human behavior. Given the popular presupposition of human reasoning as the standard for …
human behavior. Given the popular presupposition of human reasoning as the standard for …