Machine learning of robot assembly plans
Machine learning of robot assembly plans
Case-based planning: viewing planning as a memory task
Case-based planning: viewing planning as a memory task
Do the right thing: studies in limited rationality
Do the right thing: studies in limited rationality
Technical Note: \cal Q-Learning
Machine Learning
Automatically generating abstractions for planning
Artificial Intelligence
HTN planning: complexity and expressivity
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
An architecture for adaptive intelligent systems
Artificial Intelligence - Special volume on computational research on interaction and agency, part 1
Plan reuse versus plan generation: a theoretical and empirical analysis
Artificial Intelligence - Special volume on planning and scheduling
Fast planning through planning graph analysis
Artificial Intelligence
Artificial intelligence: a new synthesis
Artificial intelligence: a new synthesis
Adaptation-guided retrieval: questioning the similarity assumption in reasoning
Artificial Intelligence
Control strategies in HTN planning: theory versus practice
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Knowledge engineering and management: the CommonKADS methodology
Knowledge engineering and management: the CommonKADS methodology
Explanation-Based Generalization: A Unifying View
Machine Learning
MORALE. Mission ORiented Architectural Legacy Evolution
ICSM '97 Proceedings of the International Conference on Software Maintenance
Prodigy/Analogy: Analogical Reasoning in General Problem Solving
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
Meta-Cases: Explaining Case-Based Reasoning
EWCBR '96 Proceedings of the Third European Workshop on Advances in Case-Based Reasoning
Learning to Improve Case Adaption by Introspective Reasoning and CBR
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
ASE '99 Proceedings of the 14th IEEE international conference on Automated software engineering
Self-improvement through self-understanding: model-based reflection for agent adaptation
Self-improvement through self-understanding: model-based reflection for agent adaptation
The FF planning system: fast plan generation through heuristic search
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
Reinforcement learning: a survey
Journal of Artificial Intelligence Research
Storing and indexing plan derivations through explanation-based analysis of retrieval failures
Journal of Artificial Intelligence Research
Using introspective reasoning to refine indexing
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Metareasoning for adaptation of classification knowledge
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Toward a Unified Catalog of Implemented Cognitive Architectures
Proceedings of the 2010 conference on Biologically Inspired Cognitive Architectures 2010: Proceedings of the First Annual Meeting of the BICA Society
Perceptually grounded self-diagnosis and self-repair of domain knowledge
Knowledge-Based Systems
Realizing networks of proactive smart products
EKAW'12 Proceedings of the 18th international conference on Knowledge Engineering and Knowledge Management
Hi-index | 0.00 |
The ability to adapt is a key characteristic of intelligence. In this work we investigate model-based reasoning for enabling intelligent software agents to adapt themselves as their functional requirements change incrementally. We examine the use of reflection (an agent's knowledge and reasoning about itself) to accomplish adaptation (incremental revision of an agent's capabilities). Reflection in this work is enabled by a language called TMKL (Task-Method-Knowledge Language) which supports modelling of an agent's composition and teleology. A TMKL model of an agent explicitly represents the tasks the agent addresses, the methods it applies, and the knowledge it uses. These models are used in a reasoning shell called REM (Reflective Evolutionary Mind). REM enables the execution and incremental adaptation of agents that contain TMKL models of themselves.