Benjamin Johnston and Martin Magnusson at the AGI-08 post-conference workshop
Inhabiting the complex and dynamic environments of modern computer games with autonomous agents capable of intelligent timely behavior is a significant research challenge. Martin Magnusson illustrates this point speaking on the topic of his paper with Patrick Doherty using their own attempts to build a practical agent architecture on a logicist foundation.
The AGI-08 Post-Conference Workshop session presented by Professor Hugo de Garis of Wuhan University investigates the possibility of a bitter controversy arising out of humanity’s capability of building massively intelligent machines. It foresees humanity splitting into three major camps: the Cosmists (in favor of building artilects), the Terrans (opposed to building artilects), and the Cyborgs (who want to become artilects themselves by adding components to their own human brains).
Cognitive architectures play a vital role in providing blueprints for building future intelligent systems supporting a broad range of capabilities similar to those of humans. How useful are existing architectures for creating artificial general intelligence? At AGI-08 Wlodzislaw Duch presented on a critical survey by the speaker, Richard Oentaryo and Michel Pasquier of the state of the art in cognitive architectures, providing a useful insight into the possible frameworks for general intelligence.
At the AGI-08 conference on artificial general intelligence, Brian Milch presented on his paper “Artificial General Intelligence through Large-Scale, Multimodal Bayesian Learning.” An artificial system that achieves human-level performance on open-domain tasks must have a huge amount of knowledge about the world. He argues that the most feasible way to construct such a system is to let it learn from the large collections of text, images, and video that are available online. More specifically, the system should use a Bayesian probability model to construct hypotheses about both specific objects and events, and general patterns that explain the observed data.
In the introduction to the AGI-08 post-conference workshop on the futurological implications of artificial general intelligence, Novamente Chief Science Officer Ben Goertzel argued that it is worthwhile in planning for the future to put a certain amount of attention on the speculative aspects of present-day emerging technologies. The workshop’s introductory talk focuses on the significance of artificial general intelligence to the hypothesis of a technological singularity.
At the AGI-08 post-conference workshop, Ben Goertzel presented on a paper by the speaker and the Singularity Institute’s director of open source projects, David Hart. There he described the OpenCog software development framework for integrative artificial general intelligence. The framework’s libraries include a flexible knowledge representation embodied in a scalable knowledge store, a cognitive process scheduler, and a plug-in architecture for allowing interaction between cognitive, perceptual, and control algorithms.
