The Role of Artificial Intelligence in Company’s Decision Making

Saba, Djamel; Sahli, Youcef; Hadidi, Abdelkader

doi:10.1007/978-3-030-52067-0_13

Cited by 7 publications

(2 citation statements)

References 34 publications

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“…Logical reasoning, a fundamental aspect of intelligent behavior, has been studied extensively. Scholars argued that the integration of formal logic into AI systems could greatly enhance their decision-making capabilities [4,5,6]. Early approaches were predominantly rule-based, where predefined logical frameworks were applied to data processing [7,8].…”

Section: Logical Reasoning In Aimentioning

confidence: 99%

Empower LlaMa 2 for Advanced Logical Reasoning in Natural Language Understanding

Watanabe,

Kinasaka,

Nakamura

2024

Preprint

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Enhancing LlaMa 2 through the integration of a rule-based reasoning layer and a logic inference engine, collectively referred to as LlaMa+, has markedly improved its capabilities in natural language understanding. The performance enhancements were rigorously evaluated using the sophisticated MMLU and LegalBench benchmark datasets, where LlaMa+ showed significant increases in precision, accuracy, recall, and F1-score. These improvements are indicative of the model's advanced ability to interpret and reason with complex texts, reflecting a substantial progression towards AI systems that can engage with human language in a contextually aware and cognitively profound manner. This research not only underscores the enhanced analytical abilities of LlaMa+ but also explores the implications for practical applications in fields requiring nuanced language comprehension such as legal analysis, academic research, and technical problem-solving. Future directions involve optimizing the computational efficiency of these enhancements to ensure wider applicability and exploring autonomous methods for updating the reasoning mechanisms to keep pace with evolving data and applications.

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Section: Logical Reasoning In Aimentioning

confidence: 99%

Empower LlaMa 2 for Advanced Logical Reasoning in Natural Language Understanding

Watanabe,

Kinasaka,

Nakamura

2024

Preprint

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“…The reasoning is concerned with the exploitation of acquired knowledge to produce new knowledge, as it uses inference mechanisms that allow solving many problems [29]. Additionally, different reasoning mechanisms are used, depending on the objectives of the system to be prepared [16,17]: logical reasoning, inference by classification, filtering, inheritance, and rule-based reasoning (Table 5 and Appendix A).…”

Section: Intelligent Reasoningmentioning

confidence: 99%

Development of an Ontology-Based Solution to Reduce the Spread of Viruses

et al. 2022

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With the sudden emergence of many dangerous viruses in recent years and with their rapid transmission and danger to individuals, most countries have adopted several strategies, such as closure and social distancing, to control the spread of the virus in the population. In parallel with all these precautions, scientific laboratories are working on developing the appropriate vaccine, which in many cases takes many years. Until then, it is necessary to resort to many solutions, including solutions that rely on information technologies and artificial intelligence (AI). In this context, this paper proposes a new solution based on the ontology and rules of intelligent reasoning. Initially, the virus environment is analyzed, followed by the extraction and editing of the main elements of the ontology using the “Protégé” software. In the last step, the proposed solution is tested, by choosing the city of Adrar in southwestern Algeria, which was particularly affected by COVID-19. Three scenarios were shown for different cases. The efficiency of the proposed solution was confirmed through the instructions it provides in the event of symptoms appearing in a person. In addition, this solution helps the competent authorities know the location and extent of the epidemic by informing the local communities.

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