The society of mind
A bottom-up mechanism for behavior selection in an artificial creature
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
Chunking in Soar: The Anatomy of a General Learning Mechanism
Machine Learning
Intelligent Agents: The Key Concepts
Proceedings of the 9th ECCAI-ACAI/EASSS 2001, AEMAS 2001, HoloMAS 2001 on Multi-Agent-Systems and Applications II-Selected Revised Papers
Modelling Agents in Hard Real-Time Environments
MAAMAW '99 Proceedings of the 9th European Workshop on Modelling Autonomous Agents in a Multi-Agent World: MultiAgent System Engineering
Content-Based Routing as the Basis for Intra-Agent Communication
ATAL '98 Proceedings of the 5th International Workshop on Intelligent Agents V, Agent Theories, Architectures, and Languages
Architectures and Idioms: Making Progress in Agent Design
ATAL '00 Proceedings of the 7th International Workshop on Intelligent Agents VII. Agent Theories Architectures and Languages
Agent-based merchandise management in business-to-business electronic commerce
Decision Support Systems
A CD-ROM retrieval system with multiple dialogue agents
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
Intelligent Agents on the Web: A Review
Computing in Science and Engineering
Mechanisms of Action Selection: Introduction to the Special Issue
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Intelligent agent technologies promises in emerging arena: mass customisation
AIKED'07 Proceedings of the 6th Conference on 6th WSEAS Int. Conf. on Artificial Intelligence, Knowledge Engineering and Data Bases - Volume 6
Towards a taxonomy of agents and multi-agent systems
SpringSim '07 Proceedings of the 2007 spring simulation multiconference - Volume 2
I Feel What You Feel: Empathy and Placebo Mechanisms for Autonomous Virtual Humans
IVA '09 Proceedings of the 9th International Conference on Intelligent Virtual Agents
Emotions as durative dynamic state for action selection
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Intelligent supervision based on multi-agent systems: application to petroleum industrial processes
ICS'09 Proceedings of the 13th WSEAS international conference on Systems
Quantum Modeling of Social Networks
WSKS '09 Proceedings of the 2nd World Summit on the Knowledge Society: Visioning and Engineering the Knowledge Society. A Web Science Perspective
Intelligent supervision of petroleum processes based on multi-agent systems
WSEAS Transactions on Systems and Control
Simulation experiences with an ecological approach for pervasive service systems
Proceedings of the 2nd workshop on Bio-inspired algorithms for distributed systems
A self-organizing architecture for pervasive ecosystems
SOAR'09 Proceedings of the First international conference on Self-organizing architectures
Design of robotic arm's action to imitate the mechanism of an animal's consciousness
Artificial Life and Robotics
A survey of motivation frameworks for intelligent systems
Artificial Intelligence
An evolutionary behavioral model for decision making
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Society of Mind cognitive agent architecture applied to drivers adapting in a traffic context
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
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The goal of my work is to develop and implement an architecture for an autonomous agent, which I refer to as "ANA". An ANA agent consists of a distributed set of "competence modules". Competence modules are linked in a network. A spreading activation process operates on the network to decide what the "relevance" or relative strength of a competence module is in the current context. This process implements a competition among modules for activation energy. The higher the activation energy level of a module, the more likely it is that this module determines what the autonomous agent does or communicates to believe. Learning is a central, completely integrated feature of the architecture. The competence module network is continuously being developed and changed on the basis of experience: links are added and deleted depending on real world observations and new "macro modules" are created whenever a goal is achieved. This paper presents an overview of the architecture. It describes the functionalities that have been implemented, the results that have been obtained with robotic and simulated ANA agents, and finally it discusses (current) limitations and future work.