AGI and Machine Consciousness

نویسندگان

  • Antonio Chella
  • Riccardo Manzotti
چکیده

Artificial General Intelligence aims at finding computational models for the deep basic mechanisms of intelligence [50]. The classical view of intelligence from the standpoint of psychology is usually related with the g factor and the psychometric approach (see Neisser et al. [45] for a review). Alternative views have been proposed by Gardner [22] and by Sternberg [61]. Legg and Hutter [36] provided several different definitions related to the different aspects of intelligence, from psychology to philosophy to cognitive sciences.

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

On the Broad Implications of Reinforcement Learning based AGI

Reinforcement learning (RL) is an attractive machine learning discipline in the context of Artificial General Intelligence (AGI). This paper focuses on the intersection between RL and AGI by first speculating on what are the missing components that would facilitate the realization of RL-based AGI. Based on this paradigm, we touch on several of the key moral and practical issues that will inevit...

متن کامل

A Foundational Architecture for Artificial General Intelligence

Implementing and fleshing out a number of psychological and neuroscience theories of cognition, the LIDA conceptual model aims at being a cognitive “theory of everything.” With modules or processes for perception, working memory, episodic memories, “consciousness,” procedural memory, action selection, perceptual learning, episodic learning, deliberation, volition, and non-routine problem solvin...

متن کامل

Towards An Actual Gödel Machine Implementation: A Lesson in Self-Reflective Systems

Recently, interest has been revived in self-reflective systems in the context of Artificial General Intelligence (AGI). An AGI system should be intelligent enough to be able to reason about its own program code, and make modifications where it sees fit, improving on the initial code written by human programmers. A pertinent example is the Gödel Machine, which employs a proof searcher— in parall...

متن کامل

Different Conceptions of Learning: Function Approximation vs. Self-Organization

This paper compares two understandings of “learning” in the context of AGI research: algorithmic learning that approximates an input/output function according to given instances, and inferential learning that organizes various aspects of the system according to experience. The former is how “learning” is often interpreted in the machine learning community, while the latter is exemplified by the...

متن کامل

Open-Set Classification for Automated Genre Identification

Automated Genre Identification (AGI) of web pages is a problem of increasing importance since web genre (e.g. blog, news, eshops, etc.) information can enhance modern Information Retrieval (IR) systems. The state-of-the-art in this field considers AGI as a closed-set classification problem where a variety of web page representation and machine learning models have intensively studied. In this p...

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:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012