Q-Learning Based Cognitive Domain Ontology Representation and Solving on Low Power Computing Platforms

N Rahman, T Atahary, C Yakopcic, TM Taha… - IEEE …, 2023 - ieeexplore.ieee.org
Cognitive agents make systems autonomous through the process of decision automation by
mining an existing knowledge repository at run time. These processes can often be highly …

[PDF][PDF] Efficient computation of spreading activation using lazy evaluation

SJ Jones, AR Wandzel, JE Laird - Ann Arbor, 2016 - eecs.umich.edu
Spreading activation is an important component of many computational models of
declarative long-term memory retrieval but it can be computationally expensive. The …

Hardware accelerated semantic declarative memory systems through CUDA and MapReduce

M Edmonds, T Atahary, S Douglass… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Declarative memory enables cognitive agents to effectively store and retrieve factual
memory in real-time. Increasing the capacity of a real-time agent's declarative memory …

[图书][B] Low Power Based Cognitive Domain Ontology Solving Approaches

MN Rahman - 2021 - search.proquest.com
The demand for autonomous systems is increasing in multiple domains, including mobile
systems (UAVs, cars, and robots) and planning systems, as it improves the performance of …