Autonomous Mental Development: A New Interdisciplinary Transactions for Natural and Artificial Intelligence

نویسنده

  • Zhengyou Zhang
چکیده

A LTHOUGH some baby animals can get up and walk within hours after birth, what a human child learns during the first two years of life easily exceeds what those animals learn in their entire lifetime. Furthermore, besides the explosive growth that occurs during this period, it is now well documented that a human brain continues its lifelong development and learning [1]. The human brain is one of the most complex systems we know of in the world, composed of about 100 billion strongly interconnected neurons. A single neuron may have more than 10 000 connections to other neurons. For thousands of years, the mind has been the center of myths and human beings have endeavored to understand our own brain and the mind arising from it. With the recent advances in cognitive science and neuro-science, e.g., with the help of brain imaging technologies such as the fMRI, EEG and PET, and many other direct observation and intervention techniques, more and deeper details of the brain's inner workings are being revealed. Together with the advances in computational intelligence, computer science, and robotics, these discoveries have stimulated the birth and rapid growth of a new interdisciplinary research field known as Autonomous Mental Development (AMD) [2]. Mental development is a process during which a brain-like natural or artificial embodied system, under the control of its intrinsic species-specific developmental program, develops mental capabilities through its real-time interactions with its environment (including the brain's own internal environment) using its own sensors and effectors. The mental capabilities that develop in this way include perceptual, cognitive, behavioral, motivational, and all other mental capabilities that are exhibited by humans, higher animals, and artificial systems. The intrinsic developmental program and the interaction with the environment are both important for normal mental development: The environment affects how the developmental program in the genes works, which in turn regulates how the environment and experience give rise to the brain's internal representations, mental capabilities, and internal and external behaviors. In recognition of the gains made in this field and to support its further development, the IEEE has approved this new IEEE TRANSACTIONS ON AUTONOMOUS MENTAL DEVELOPMENT (TAMD). Published four times a year, it will serve as an archival repository for significant work on this subject. The scope of TAMD includes: — Computational modeling of mental development, including mental architecture, theories, algorithms, properties and experiments; — Experimental investigations relevant to the goal …

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Autonomous mental development in high dimensional context and action spaces

Autonomous Mental Development (AMD) of robots opened a new paradigm for developing machine intelligence, using neural network type of techniques and it fundamentally changed the way an intelligent machine is developed from manual to autonomous. The work presented here is a part of SAIL (Self-Organizing Autonomous Incremental Learner) project which deals with autonomous development of humanoid r...

متن کامل

Artificial intelligence & genetics

Artificial intelligence (AI) is the development of computer systems that are able to perform tasks that normally require human intelligence. Artificial intelligence (AI) is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decision making—and already it is transforming every walk of life. AI has application...

متن کامل

Cognitive Science Meets Autonomous Mental Development

The 7th IEEE International Conference on Development and Learning (ICDL 2008) took place at the Asilomar Conference Grounds in Monterrey, CA, from August 9 to 12, 2008. The Asilomar Conference Ground has been a place for some well-known conferences in U.S. history, with its natural beach surroundings dotted with rustic buildings with spacious rooms and other facilities. This year’s conference h...

متن کامل

Analysis of Multi-Robots Transportation with Multi-objective PSO Algorithm in an Artificial Capital Market

In this paper, to analyze the transport of autonomous robots, an artificial Capital market is used. Capital market is considered as a pier which loading and unloading of cargo is done. Autonomous robots load and unload from the ship to the warehouse wharf or vice versa. All the robots have the ability of transporting the loads, but depending on loads and the location of unloading (or loading) a...

متن کامل

Autonomous development and learning in artificial intelligence and robotics: Scaling up deep learning to human-like learning

Autonomous lifelong development and learning are fundamental capabilities of humans, differentiating them from current deep learning systems. However, other branches of artificial intelligence have designed crucial ingredients towards autonomous learning: curiosity and intrinsic motivation, social learning and natural interaction with peers, and embodiment. These mechanisms guide exploration an...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • IEEE Trans. Autonomous Mental Development

دوره 1  شماره 

صفحات  -

تاریخ انتشار 2009