The society of mind
Unified theories of cognition
KQML as an agent communication language
Software agents
Creating Interactive Virtual Humans: Some Assembly Required
IEEE Intelligent Systems
Modularity and specialized learning: mapping between agent architectures and brain organization
Emergent neural computational architectures based on neuroscience
A Robust Layered Control System For a Mobile Robot
A Robust Layered Control System For a Mobile Robot
A Framework for Representing Knowledge
A Framework for Representing Knowledge
The behavior oriented design of an Unreal Tournament character
Lecture Notes in Computer Science
Semiotic schemas: a framework for grounding language in action and perception
Artificial Intelligence - Special volume on connecting language to the world
The behavior-oriented design of modular agent intelligence
NODe'02 Proceedings of the NODe 2002 agent-related conference on Agent technologies, infrastructures, tools, and applications for E-services
A Granular Architecture for Dynamic Realtime Dialogue
IVA '08 Proceedings of the 8th international conference on Intelligent Virtual Agents
Integrating high-level cognitive systems with sensorimotor control
Advanced Engineering Informatics
Modeling multimodal communication as a complex system
ZiF'06 Proceedings of the Embodied communication in humans and machines, 2nd ZiF research group international conference on Modeling communication with robots and virtual humans
| Hi-index | 0.00 |
The broad range of capabilities exhibited by humans and animals is achieved through a large set of heterogeneous, tightly integrated cognitive mechanisms. To move artificial systems closer to such general-purpose intelligence we cannot avoid replicating some subset--quite possibly a substantial portion--of this large set. Progress in this direction requires that systems integration be taken more seriously as a fundamental research problem. In this paper I make the argument that intelligence must be studied holistically. I present key issues that must be addressed in the area of integration and propose solutions for speeding up rate of progress towards more powerful, integrated A.I. systems, including (a) tools for building large, complex architectures, (b) a design methodology for building realtime A.I. systems and (c) methods for facilitating code sharing at the community level.