Developing Creativity: Artificial Barriers in Artificial Intelligence
نویسندگان
چکیده
منابع مشابه
Creativity and Artificial Intelligence
The paper describes a transition logic, TL , and a deductive formalism for i t . It shows how various important aspects (such as ramification, qualification, specificity, simultaneity, indeterminism etc.) involved in planning can be modelled in TL in a rather natural way. (The deductive formalism for) TL extends the l inear connection method proposed earlier by the author by embedding the latte...
متن کاملArtificial Intelligence and Scientific Creativity
There has been much recent success for AI systems undertaking creative tasks in scientific domains such as astronomy, biology, medicine, chemistry, physics and mathematics. In many scientific domains, we can build on the wealth of philosophical and computational studies into creative aspects of human intelligence, and use the abstract nature of the data to derive specialist algorithms for disco...
متن کاملSwarm Intelligence and Weak Artificial Creativity
Swarm intelligence via its infamous struggle to identify a suitable balance between exploration and exploitation phases, provides a valuable mean to approach artificial creativity. This work deploys two swarm intelligence algorithms, one simulating the behaviour of birds flocking and fish schooling (Particle Swarm Optimisation) and the other mimicking the behaviour of ants foraging (Stochastic ...
متن کاملDeveloping an Artificial Intelligence Engine
As computer games become more complex and consumers demand more sophisticated computer controlled agents, developers are required to place a greater emphasis on the artificial intelligence aspects of their games. One source of sophisticated AI techniques is the artificial intelligence research community. This paper discusses recent efforts by our group at the University of Michigan Artificial I...
متن کاملArtificial Intelligence for Artificial Artificial Intelligence
Crowdsourcing platforms such as Amazon Mechanical Turk have become popular for a wide variety of human intelligence tasks; however, quality control continues to be a significant challenge. Recently, we propose TURKONTROL, a theoretical model based on POMDPs to optimize iterative, crowdsourced workflows. However, they neither describe how to learn the model parameters, nor show its effectiveness...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Minds and Machines
سال: 2010
ISSN: 0924-6495,1572-8641
DOI: 10.1007/s11023-010-9206-y