Algorithm schemata and data structures in syntactic processing
Readings in natural language processing
Structure and interpretation of computer programs
Structure and interpretation of computer programs
ECAI-94 Proceedings of the workshop on agent theories, architectures, and languages on Intelligent agents
A Domain-Specific Software Architecture for Adaptive Intelligent Systems
IEEE Transactions on Software Engineering - Special issue on software architecture
Biologically inspired approaches to robotics: what can we learn from insects?
Communications of the ACM
Vicious circles: on the mathematics of non-wellfounded phenomena
Vicious circles: on the mathematics of non-wellfounded phenomena
Software agents
WSC '91 Proceedings of the 23rd conference on Winter simulation
Cambrian intelligence: the early history of the new AI
Cambrian intelligence: the early history of the new AI
Inductive Inference: Theory and Methods
ACM Computing Surveys (CSUR)
An Improved Context-Free Recognizer
ACM Transactions on Programming Languages and Systems (TOPLAS)
Communications of the ACM
New architectures for constructed complex systems
Applied Mathematics and Computation
Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer
Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer
Human Cognition and Social Agent Technology
Human Cognition and Social Agent Technology
Designing Autonomous Agents: Theory and Practice from Biology to Engineering and Back
Designing Autonomous Agents: Theory and Practice from Biology to Engineering and Back
Intelligent Systems: Architecture, Design, and Control
Intelligent Systems: Architecture, Design, and Control
Heterogeneous Agent Systems
The Art of the Metaobject Protocol
The Art of the Metaobject Protocol
The theory of parsing, translation, and compiling
The theory of parsing, translation, and compiling
POPL '82 Proceedings of the 9th ACM SIGPLAN-SIGACT symposium on Principles of programming languages
Selected Papers from the Internaltional Seminar on Partial Evaluation
Selected Papers from the Internaltional Seminar on Partial Evaluation
Computational Infrastructure for Experiments in Cognitive Leverage
CT '01 Proceedings of the 4th International Conference on Cognitive Technology: Instruments of Mind
Circular Coinductive Rewriting
ASE '00 Proceedings of the 15th IEEE international conference on Automated software engineering
Wrappings for One-of-a-Kind Software Development
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 9 - Volume 9
Lessons Learned from Wrapping Systems
ICECCS '99 Proceedings of the 5th International Conference on Engineering of Complex Computer Systems
Generic Programming, Partial Evaluation, and a New Programming Paradigm
HICSS '99 Proceedings of the Thirty-Second Annual Hawaii International Conference on System Sciences-Volume 3 - Volume 3
Problem Posing Interpretation of Programming Languages
HICSS '99 Proceedings of the Thirty-Second Annual Hawaii International Conference on System Sciences-Volume 3 - Volume 3
The Art of the Interpreter or, The Modularity Complex (Parts Zero, One, and Two)
The Art of the Interpreter or, The Modularity Complex (Parts Zero, One, and Two)
Toward relaxing assumptions in languages and their implementations
ACM SIGPLAN Notices
Temporal logic can be more expressive
SFCS '81 Proceedings of the 22nd Annual Symposium on Foundations of Computer Science
Self-Aware software – will it become a reality?
Self-star Properties in Complex Information Systems
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This paper is about systems with complete models of themselves (down to some very low level of detail). We explain how to build such a system (using careful system engineering, and our Wrapping approach to flexible integration infrastructures for Constructed Complex Systems), and why we want to do so (it is at least interesting, and we believe it is essential for effective autonomy). The long-term goal is the use of these models to understand modeling processes, so that computing systems can be built that can do their own modeling and construct their own abstractions, which we believe is important for computational intelligence.