Q-Learning Based Cognitive Domain Ontology Representation and Solving on Low Power Computing Platforms
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 …
mining an existing knowledge repository at run time. These processes can often be highly …
Task allocation performance comparison for low power devices
N Rahman, T Atahary, C Yakopcic… - NAECON 2018-IEEE …, 2018 - ieeexplore.ieee.org
Cognitive agents are typically utilized in autonomous systems for automated decision
making. These systems interact in real time with their environment and are generally heavily …
making. These systems interact in real time with their environment and are generally heavily …
Cognitive domain ontologies in a memristor crossbar architecture
C Yakopcic, N Rahman, T Atahary… - 2017 IEEE National …, 2017 - ieeexplore.ieee.org
Cognitive agents are typically utilized in autonomous systems for automated decision
making. These systems interact at real time with their environment and are generally heavily …
making. These systems interact at real time with their environment and are generally heavily …
Cognitive Domain Ontologies in lookup tables stored in a memristor string matching architecture
N Rahman, C Yakopcic, T Atahary… - 2017 IEEE 30th …, 2017 - ieeexplore.ieee.org
Cognitive agents are typically utilized in autonomous systems for automated decision
making. These systems interact at real time with their environment and are generally heavily …
making. These systems interact at real time with their environment and are generally heavily …
A pattern matching approach to map cognitive domain ontologies to the IBM TrueNorth Neurosynaptic System
Cognitive agents are typically utilized in autonomous systems for automated decision
making. These systems interact in real time with their environments and are generally …
making. These systems interact in real time with their environments and are generally …
[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 …
systems (UAVs, cars, and robots) and planning systems, as it improves the performance of …
Spiking Neural Network for Asset Allocation Implemented Using The TrueNorth System
C Yakopcic, N Rahman, T Atahary… - 2019 IEEE Cognitive …, 2019 - ieeexplore.ieee.org
Asset allocation is a compute intensive combinatorial optimization problem commonly
tasked to autonomous decision making systems. However, cognitive agents interact in real …
tasked to autonomous decision making systems. However, cognitive agents interact in real …
Cognitive Domain Ontologies Based on Loihi Spiking Neurons Implemented Using a Confabulation Inspired Network
C Yakopcic, J Freeman, TM Taha… - 2019 IEEE Cognitive …, 2019 - ieeexplore.ieee.org
Cognitive agents are typically utilized in autonomous systems for automated decision
making. These systems interact at real time with their environment and are generally heavily …
making. These systems interact at real time with their environment and are generally heavily …