A Hybrid Theory of Event Memory

Ménager, David H.; Choi, Dongkyu; Robins, Sarah

doi:10.1007/s11023-021-09578-3

Cited by 3 publications

(1 citation statement)

References 31 publications

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“…Our solution's event-based diagnosis component employs the Hybrid Event Memory System (HEMS) (Ménager, Choi, and Robins 2022), (Ménager and Choi 2023) to facilitate reasoning under uncertainty. HEMS, a psychologically plausible model, constructs a probabilistic experience taxonomy using Bayesian networks to represent episodes and schemas.…”

Section: Event-based Diagnosismentioning

confidence: 99%

Algorithmic Decision-Making in Difficult Scenarios

Rauch,

Addison,

Floyd

et al. 2024

AAAI-SS

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We present an approach to algorithmic decision-making that emulates key facets of human decision-making, particularly in scenarios marked by expert disagreement and ambiguity. Our system employs a case-based reasoning framework, integrating learned experiences, contextual factors, probabilistic reasoning, domain-specific knowledge, and the personal traits of decision-makers. A primary aim of the system is to articulate algorithmic decision-making as a human-comprehensible reasoning process, complete with justifications for selected actions.

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Section: Event-based Diagnosismentioning

confidence: 99%

Algorithmic Decision-Making in Difficult Scenarios

Rauch,

Addison,

Floyd

et al. 2024

AAAI-SS

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Hybrid Event Memory as a Case Base for State Estimation in Cognitive Agents

Ménager

Choi

2023

Lecture Notes in Computer Science

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Real-Time Design and Implementation of Soft Error Mitigation Using Embedded System

Das¹,

Mushtaque²,

Memon³

et al. 2023

J CIRCUIT SYST COMP

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Soft errors are the most common aspect of errors that are incurred in the memory devices during transmission. The common and fundamental reason of these soft errors is radiation that produces leakage of current and results in misleading information which is sent to various transmission stations via satellite and microwave communication. In this paper, the real-time embedded system is designed and implemented to mitigate the soft error using hybrid Hamming code. The work also develops the hardware system for soft error mitigation. The designed system is compared with the other coding schemes that are commonly available for error mitigation. The performance of real-time embedded system for soft error mitigation is carried out using signal-to-noise ratio and other performance metrics. The timing diagram analysis is the key metrics of the paper that defined the performance of the designed soft error mitigation design using the proposed technique. Furthermore, the results of the designed systems are demonstrated using bit error probability, Pb and channel symbol error probability (CSEP). The impact of the designed system will be that from now onwards using the proposed system, the soft error produced due to radiation and other reasons would not affect too much on transmission and reception of important data via satellite and microwave communication.

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A Hybrid Theory of Event Memory

Cited by 3 publications

References 31 publications

Algorithmic Decision-Making in Difficult Scenarios

Algorithmic Decision-Making in Difficult Scenarios

Hybrid Event Memory as a Case Base for State Estimation in Cognitive Agents

Real-Time Design and Implementation of Soft Error Mitigation Using Embedded System

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