Philosophy of Artificial Intelligence
Authors: Jerry Kaplan
<p>What is the philosophy of AI?</p>
<p>You might wonder why a field like AI seems to attract so much controversy. After all, other engineering disciplines—such as civil, mechanical, or electrical engineering—aren’t typically the target of vociferous criticism from various branches of the humanities. Largely,...</p>
📅 Published: 2016-11-24
🔗 Source: CrossRef
Games for Artificial Intelligence Research: A Review and Perspectives
Authors: Chengpeng Hu, Yunlong Zhao, Ziqi Wang
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 research areas shared between games and real-world problems. Numerous open-source games or game-based envi...
Artificial Intelligence Framework for Simulating Clinical Decision-Making: A Markov Decision Process Approach
Authors: Casey C. Bennett, Kris Hauser
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 a general purpose (non-disease-specific) computational/artificial intelligence (AI) framework to ad...
The Impact of Artificial Intelligence on Social Equity
Authors: Jerry Kaplan
<p>Who’s going to benefit from this technological revolution?</p>
<p>Unfortunately, AI is accelerating the substitution of capital for labor, and so those with capital will benefit at the expense of those whose primary asset is their ability to work. Income inequality is already a pressing...</p>
📅 Published: 2016-11-24
🔗 Source: CrossRef
Creative Problem Solving in Artificially Intelligent Agents: A Survey and Framework
Authors: Evana Gizzi, Lakshmi Nair, Sonia Chernova
Creative Problem Solving (CPS) is a sub-area within Artificial Intelligence (AI) that focuses on methods for solving off-nominal, or anomalous problems in autonomous systems. Despite many advancements in planning and learning, resolving novel problems or adapting existing knowledge to a new context, especially in cases where the environment may change in unpredictable ways post deployment, remains...