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HLXiON δ Ω Intent Σ Logic Ψ Synth Π Reason Γ Memory Processing: Artificial intelligence
iON AI Synthesis
The development of artificial intelligence (AI) encompasses various domains, including one-shot learning techniques like YOLO for image detection, and the use of games as test-beds for AI research due to their dynamic and uncertain environments. AI is also influencing economic theories by mimicking natural intelligence and integrating neural networks with symbolic reasoning through neurosymbolic AI. However, the rise of AI also poses challenges such as potential job market disruptions, highlighting the need for a human-in-the-loop approach to manage AI's impact effectively.
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arxiv.org
Watershed of Artificial Intelligence: Human Intelligence, Machine Intelligence, and Biological Intelligence

This article reviews the "Once learning" mechanism that was proposed 23 years ago and the subsequent successes of "One-shot learning" in image classification and "You Only Look Once - YOLO" in objective detection. Analyzing the current development of Artificial Intelligence (AI), the proposal is tha…

arxiv.org
Games for Artificial Intelligence Research: A Review and Perspectives

Games have been the perfect test-beds for artificial intelligence research for the characteristics that widely exist in real-world scenarios. Learning and optimisation, decision making in dynamic and uncertain environments, game theory, planning and scheduling, design and education are common resear…

cs.AI
arxiv.org
Artificial Intelligence and Economic Theories

The advent of artificial intelligence has changed many disciplines such as engineering, social science and economics. Artificial intelligence is a computational technique which is inspired by natural intelligence such as the swarming of birds, the working of the brain and the pathfinding of the ants…

cs.AI
arxiv.org
From Statistical Relational to Neurosymbolic Artificial Intelligence: a Survey

This survey explores the integration of learning and reasoning in two different fields of artificial intelligence: neurosymbolic and statistical relational artificial intelligence. Neurosymbolic artificial intelligence (NeSy) studies the integration of symbolic reasoning and neural networks, while s…

cs.AI
arxiv.org
Human-in-the-loop Artificial Intelligence

Little by little, newspapers are revealing the bright future that Artificial Intelligence (AI) is building. Intelligent machines will help everywhere. However, this bright future has a dark side: a dramatic job market contraction before its unpredictable transformation. Hence, in a near future, larg…

cs.AI
arxiv.org
Compression, The Fermi Paradox and Artificial Super-Intelligence

The following briefly discusses possible difficulties in communication with and control of an AGI (artificial general intelligence), building upon an explanation of The Fermi Paradox and preceding work on symbol emergence and artificial general intelligence. The latter suggests that to infer what so…

cs.AI
arxiv.org
The Artificial Scientist: Logicist, Emergentist, and Universalist Approaches to Artificial General Intelligence

We attempt to define what is necessary to construct an Artificial Scientist, explore and evaluate several approaches to artificial general intelligence (AGI) which may facilitate this, conclude that a unified or hybrid approach is necessary and explore two theories that satisfy this requirement to s…

cs.AI
arxiv.org
Intelligent behavior depends on the ecological niche: Scaling up AI to human-like intelligence in socio-cultural environments

This paper outlines a perspective on the future of AI, discussing directions for machines models of human-like intelligence. We explain how developmental and evolutionary theories of human cognition should further inform artificial intelligence. We emphasize the role of ecological niches in sculptin…

cs.AI cs.CL cs.LG
arxiv.org
Artificial Intelligence Framework for Simulating Clinical Decision-Making: A Markov Decision Process Approach

In the modern healthcare system, rapidly expanding costs/complexity, the growing myriad of treatment options, and exploding information streams that often do not effectively reach the front lines hinder the ability to choose optimal treatment decisions over time. The goal in this paper is to develop…

cs.AI stat.ML
arxiv.org
Beyond STEM, How Can Women Engage Big Data, Analytics, Robotics and Artificial Intelligence? An Exploratory Analysis of Confidence and Educational Factors in the Emerging Technology Waves Influencing the Role of, and Impact Upon, Women

In spite of the rapidly advancing global technological environment, the professional participation of women in technology, big data, analytics, artificial intelligence and information systems related domains remains proportionately low. Furthermore, it is of no less concern that the number of women …

cs.CY