Results 31 to 39 of about 157,263 (39)

Quantifying Natural and Artificial Intelligence in Robots and Natural Systems with an Algorithmic Behavioural Test [PDF]

open access: yesarXiv, 2014
One of the most important aims of the fields of robotics, artificial intelligence and artificial life is the design and construction of systems and machines as versatile and as reliable as living organisms at performing high level human-like tasks. But how are we to evaluate artificial systems if we are not certain how to measure these capacities in ...
arxiv  

Goal Conflict in Designing an Autonomous Artificial System [PDF]

open access: yesarXiv, 2017
Research on human self-regulation has shown that people hold many goals simultaneously and have complex self-regulation mechanisms to deal with this goal conflict. Artificial autonomous systems may also need to find ways to cope with conflicting goals.
arxiv  

Design of a P System based Artificial Graph Chemistry [PDF]

open access: yesarXiv, 2009
Artificial Chemistries (ACs) are symbolic chemical metaphors for the exploration of Artificial Life, with specific focus on the origin of life. In this work we define a P system based artificial graph chemistry to understand the principles leading to the evolution of life-like structures in an AC set up and to develop a unified framework to ...
arxiv  

Building Safer AGI by introducing Artificial Stupidity [PDF]

open access: yesarXiv, 2018
Artificial Intelligence (AI) achieved super-human performance in a broad variety of domains. We say that an AI is made Artificially Stupid on a task when some limitations are deliberately introduced to match a human's ability to do the task. An Artificial General Intelligence (AGI) can be made safer by limiting its computing power and memory, or by ...
arxiv  

Artificial Bugs for Crowdsearch [PDF]

open access: yesarXiv
Bug bounty programs, where external agents are invited to search and report vulnerabilities (bugs) in exchange for rewards (bounty), have become a major tool for companies to improve their systems. We suggest augmenting such programs by inserting artificial bugs to increase the incentives to search for real (organic) bugs. Using a model of crowdsearch,
arxiv  

Home - About - Disclaimer - Privacy