A Quantum-like Model of Interdependence for Embodied Human–Machine Teams: Reviewing the Path to Autonomy Facing Complexity and Uncertainty
WF Lawless, IS Moskowitz, KZ Doctor - Entropy, 2023 - mdpi.com
In this review, our goal is to design and test quantum-like algorithms for Artificial Intelligence
(AI) in open systems to structure a human–machine team to be able to reach its maximum …
(AI) in open systems to structure a human–machine team to be able to reach its maximum …
Weibull-open-world (wow) multi-type novelty detection in cartpole3d
Algorithms for automated novelty detection and management are of growing interest but
must address the inherent uncertainty from variations in non-novel environments while …
must address the inherent uncertainty from variations in non-novel environments while …
Polycraft world ai lab (pal): An extensible platform for evaluating artificial intelligence agents
SA Goss, RJ Steininger, D Narayanan… - arXiv preprint arXiv …, 2023 - arxiv.org
As artificial intelligence research advances, the platforms used to evaluate AI agents need to
adapt and grow to continue to challenge them. We present the Polycraft World AI Lab (PAL) …
adapt and grow to continue to challenge them. We present the Polycraft World AI Lab (PAL) …
A domain-independent agent architecture for adaptive operation in evolving open worlds
Abstract Model-based reasoning agents are ill-equipped to act in novel situations in which
their model of the environment no longer sufficiently represents the world. We propose …
their model of the environment no longer sufficiently represents the world. We propose …
Characterizing Novelty in the Military Domain
T Chadwick, J Chao, C Izumigawa, G Galdorisi… - arXiv preprint arXiv …, 2023 - arxiv.org
A critical factor in utilizing agents with Artificial Intelligence (AI) is their robustness to novelty.
AI agents include models that are either engineered or trained. Engineered models include …
AI agents include models that are either engineered or trained. Engineered models include …
Novphy: A testbed for physical reasoning in open-world environments
Due to the emergence of AI systems that interact with the physical environment, there is an
increased interest in incorporating physical reasoning capabilities into those AI systems. But …
increased interest in incorporating physical reasoning capabilities into those AI systems. But …
[HTML][HTML] NovPhy: A Physical Reasoning Benchmark for Open-world AI Systems
Due to the emergence of AI systems that interact with the physical environment, there is an
increased interest in incorporating physical reasoning capabilities into those AI systems. But …
increased interest in incorporating physical reasoning capabilities into those AI systems. But …
The Difficulty of Novelty Detection and Adaptation in Physical Environments
Detecting and adapting to novel situations is a major challenge for AI systems that operate in
open-world environments. One reason for this challenge is due to the diverse range of forms …
open-world environments. One reason for this challenge is due to the diverse range of forms …
Understanding and Estimating Domain Complexity Across Domains
Artificial Intelligence (AI) systems, trained in controlled environments, often struggle in real-
world complexities. We propose a general framework for estimating domain complexity …
world complexities. We propose a general framework for estimating domain complexity …
A Quantum Model of Interdependence for Embodied Human-Machine Teams: A Review of the Path to Autonomy Facing Complexity and Uncertainty
WF Lawless, IS Moskowitz, KZ Doctor - 2023 - preprints.org
In this review, our goal is to design and test quantum-like algorithms for Artificial Intelligence
(AI) in open systems to structure a human-machine team to be able to reach its maximum …
(AI) in open systems to structure a human-machine team to be able to reach its maximum …