Cognitive science and artificial intelligence: simulating the human mind and its complexity

Uddin, Mohd Naveed

doi:10.1049/ccs.2019.0022

Cited by 8 publications

(6 citation statements)

References 16 publications

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“…This paper (Uddin 2019) provides insights into the interdisciplinary study of cognitive science in the context of artificial intelligence. It discusses the historical background, current areas of research, and applications of cognitive science in AI.…”

Section: Cognitive Science and Artificial Intelligence: Simulating Th...mentioning

confidence: 99%

Enhancing Robotics with Cognitive Capabilities

Fatoye

2024

AAAI

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In the pursuit of creating more effective and adaptable robots, the flourishing field of cognitive robotics has arisen to infuse machines with human-like cognitive functions. This paper delves into the significance of cognitive robotics and charts a course for empowering robots with advanced cognitive capabilities. Drawing inspiration from current research in cognitive architectures, the paper underscores the importance of refined perception, language processing, complex decision-making, emotional intelligence, and cognitive synergy. By integrating these cognitive functions into robotic systems, the goal is to equip robots to operate intelligently in dynamic environments, collaborate seamlessly with humans, and adeptly handle diverse tasks. The proposed enhancements mark crucial strides towards the development of more versatile and capable intelligent robots.

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Section: Cognitive Science and Artificial Intelligence: Simulating Th...mentioning

confidence: 99%

Enhancing Robotics with Cognitive Capabilities

Fatoye

2024

AAAI

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“…Although such insights are not necessarily the only (or even the principal) intended outputs of serious/professional wargames (as evident in the seven different "applications" summarised above), 14 they are nonetheless central to the rationale for wargaming, and to the emphasis wargames place on player decisions and decision-making. 2,9 There is therefore a pressing need to: develop consensus on the information and analysis required to best determine the nature of the cognitive models that underlie the decisions that players make; 18 and use these techniques to strengthen the validity and value of the insight these decisions provide (and the foresight this insight might evoke). This is a need to which we will return in the concluding section of this article.…”

Section: In Italics)mentioning

confidence: 99%

“…This approach should also make it possible to explore the likelihood of each of these (possible) decisions/outcomes occurring as a benchmark against which players' decisions might then be compared and evaluated; and not least to assess how players' prior experience, knowledge, expertise and training might influence the decisions they make; and how these decisions vary, change, improve, or decline during the course of (and as a result of) playing the wargame. 11,18 Elsewhere, there are a growing number of 'AI'-enabled data capture and data preparation applications that can ingest complex and multi-source, structured and unstructured, 'messy' and 'fuzzy' data23 -including somewhat incidental and ephemeral observations and recordings. Together with recent advances in the diversity of sensors available for capturing raw contextual, social, psycho-biological and behavioural information, these applications could dramatically extend the variety and volume of information that might be extracted from both the preparatory and operational phases of a wargame -far beyond the traditional notes made during the former; and records of players' decisions, and their subsequent consequences, during the latter.…”

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confidence: 99%

Might Wargaming be Another Instance Where “Anything You Can Do, AI Can Do Better”?

Ellison,

Shepherd

2024

Preprint

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This article offers a pragmatic ‘epistemology of wargaming’ which views wargames as immersive ‘thought experiments’ in which the human players involved use their experiential, empirical, and theoretical knowledge – together with whatever cognitive models they are able to deploy, or develop anew – to generate a conceptual, operational understanding of the adversarial scenario in which they are immersed; and exploit this understanding to craft tactical decisions designed to optimise the likelihood they will achieve their strategic objectives. From this perspective, contemporary interest in the use of ‘AI’-enabled tools to augment the validity of wargaming outputs – where these outputs constitute the decisions players make and the insights such decisions reveal – might most purposefully focus on: the design and implementation of wargames (to strengthen the architecture these provide to support immersive decision-making); and the analysis of players’ decisions (to better understand the cognitive models these involve and reflect). While the focus we suggest might disappoint those keen to replace human players with (semi-) autonomous decision-making machines, as long as the principal objectives of wargaming are to assess and enhance the decision-making capabilities of human players and human personnel, ‘AI’-enabled applications can only ever play a supporting role (albeit a potentially invaluable one) in the design, presentation, implementation, and analysis of wargames. As Irving Berlin might have it: ‘AI’ might soon be able to do most things better than us, but it can never replace humans when only a human will do.

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“…Artificial Intelligence (AI), characterized by its capacity to imitate and potentially surpass human cognitive functions, has been identified as a crucial tool for bolstering cyber security. Using complex algorithms, AI can extract patterns from vast datasets, adapt to new information, and predict with unprecedented accuracy [8,9]. Its speed, accuracy, and ability to identify novel cyber threats vastly surpass those of conventional security systems, making it an increasingly vital component of cyber security protocols [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence

Kumar,

Gupta,

Singh

et al. 2023

J. Comput. Mech. Manag

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As we navigate the digital era of the 21st century, cyber security has grown into a pressing societal issue that requires innovative, cutting-edge solutions. In response to this pressing need, Artificial Intelligence (AI) has emerged as a revolutionary instrument, causing a paradigm shift in cyber security. AI's prowess resides in its capacity to process and analyze immense quantities of heterogeneous cyber security data, thereby facilitating the efficient completion of crucial tasks. These duties, which include threat detection, asset prioritization, and vulnerability management, are performed with a level of speed and accuracy that far exceeds human capabilities, thereby transforming our approach to cyber security. This document provides a comprehensive dissection of AI's profound impact on cyber security, as well as an in-depth analysis of how AI tools not only augment, but in many cases transcend human-mediated processes. By delving into the complexities of AI implementation within the realm of cyber security, we demonstrate the potential for AI to effectively anticipate, identify, and preempt cyber threats, empowering organizations to take a proactive stance towards digital safety. Despite these advancements, it is essential to consider the inherent limitations of AI. We emphasize the need for sustained human oversight and intervention to ensure that cyber security measures are proportionate and effective. Importantly, we address potential ethical concerns and emphasize the significance of robust governance structures for the responsible and transparent use of artificial intelligence in cyber security. This paper clarifies the transformative role of AI in reshaping cyber security strategies, thereby contributing to a safer, more secure digital future. In doing so, it sets the groundwork for further exploration and discussion on the use of AI in cyber security, a discussion that is becoming increasingly important as we continue to move deeper into the digital age.

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Cognitive science and artificial intelligence: simulating the human mind and its complexity

Cited by 8 publications

References 16 publications

Enhancing Robotics with Cognitive Capabilities

Enhancing Robotics with Cognitive Capabilities

Might Wargaming be Another Instance Where “Anything You Can Do, AI Can Do Better”?

Artificial Intelligence

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