Design and Development of Hybrid Architecture Model Named Enhanced Mind Cognitive Architecture of pupils for Implementing the Learning Concepts in Society of Agents

Ganesha, D.; Venkatamuni, Vijayakumar Maragal

doi:10.17485/ijst/2017/v10i1/109390

Cited by 2 publications

(3 citation statements)

References 26 publications

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“…The results obtained corroborate with the studies by Goldschmidt, Passos, 2005;Ganesha, Venkatamuni, Vijayakumar, 2017), who recommend the combination of methods to generate an HA. In this scenario, in which the mentioned models have advantages and disadvantages, the use of BPM, EA with TOGAF and PM, forming an HA can be a differential in the mapping and redesign of organizational processes in an intelligent way, because on the one hand it is possible to have a map of the entire IT infrastructure and its interconnections and, on the other hand, the identification of the company's processes in a comprehensive way, reducing the disadvantages and enhancing the advantages of each method.…”

Section: Resultssupporting

confidence: 89%

Hybrid architecture to support the intelligent mapping and redesign of organizational processes

Romero,

Gatto,

Evangelista

et al. 2024

CLIUM

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The objective of this article was to develop and apply a Hybrid Architecture (HA) based on Business Process Management (BPM), Enterprise Architecture (EA) with TOGAF and Process Mining (PM) to support the intelligent mapping and redesign of organizational processes. The experiments were carried out in four phases: company selection, data selection, computational experiments and comparison of results. The comparison of the results showed that with the application of AH the mapping time was reduced by 60%, the number of people involved by 50% and a 20% reduction in the return time to the customer. The number of activities mapped with AH increased from 19 to 27, that is, 42% more than in the traditional method. It was concluded that AH contributed intelligence, agility and discovery of knowledge not perceptible with other methods to support intelligent mapping and redesign of organizational processes.

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Section: Resultssupporting

confidence: 89%

Hybrid architecture to support the intelligent mapping and redesign of organizational processes

Romero,

Gatto,

Evangelista

et al. 2024

CLIUM

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“…This work gives frame rules of modified Q-learning and investigates EMCAP architecture . Experiments are conducted with agents in EMCAP using Fungus world tested [1]. Agents from different levels of Architecture were employed for this experiment.…”

Section: Discussionmentioning

confidence: 99%

“…The architecture comprises of cognitive and amounts that are done. The points that can easily be main the EMCAP architecture is found in [1]. …”

Section: Artificial Cognitive Architecture Emcapmentioning

confidence: 99%

Implementation of modified Q learning technique in EMCAP control architecture

Ganesha¹,

Venkatamuni²

2017

IJET

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This research introduces a self learning modified (Q-Learning) techniques in a EMCAP (Enhanced Mind Cognitive Architecture of pupils). Q-learning is a modelless reinforcement learning (RL) methodology technique. In Specific, Q-learning can be applied to establish an optimal action-selection strategy for any respective Markov decision process. In this research introduces the modified Q-learning in a EMCAP (Enhanced Mind Cognitive Architecture of pupils). EMCAP architecture [1] enables and presents various agent control strategies for static and dynamic environment. Experiment are conducted to evaluate the performace for each agent individually. For result comparison among different agent, the same statistics were collected. This work considered varied kind of agents in different level of architecture for experiment analysis. The Fungus world testbed has been considered for experiment which is has been implemented using SwI-Prolog 5.4.6. The fixed obstructs tend to be more versatile, to make a location that is specific to Fungus world testbed environment. The various parameters are introduced in an environment to test a agent's performance.his modified q learning algorithm can be more suitable in EMCAP architecture. The experiments are conducted the modified Q-Learning system gets more rewards compare to existing Q-learning.

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Design and Development of Hybrid Architecture Model Named Enhanced Mind Cognitive Architecture of pupils for Implementing the Learning Concepts in Society of Agents

Cited by 2 publications

References 26 publications

Hybrid architecture to support the intelligent mapping and redesign of organizational processes

Hybrid architecture to support the intelligent mapping and redesign of organizational processes

Implementation of modified Q learning technique in EMCAP control architecture

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