SOAR: an architecture for general intelligence
Artificial Intelligence
Real-time knowledge-based systems
AI Magazine
Reducing problem-solving variance to improve predictability
Communications of the ACM
A survey of research in deliberative real-time artificial intelligence
Real-Time Systems
A structured view of real-time problem solving
AI Magazine
An architecture for adaptive intelligent systems
Artificial Intelligence
An architecture for planning with external information points in a real-time system
CSC '96 Proceedings of the 1996 ACM 24th annual conference on Computer science
Temporal Reasoning for a Collaborative Planning Agent in a Dynamic Environment
Annals of Mathematics and Artificial Intelligence
Self-Adaptive Software for Hard Real-Time Environments
IEEE Intelligent Systems
Toward Embedded Qualitative Simulation: A Specialized Computer Architecture for QSim
IEEE Intelligent Systems
On-Board and Real-Time Expert Control
IEEE Expert: Intelligent Systems and Their Applications
Formalizing an Engineering Approach to Cooperating Knowledge-Based Systems
IEEE Transactions on Knowledge and Data Engineering
A Temporal Many-Valued Logic for Real Time Control Systems
AIMSA '00 Proceedings of the 9th International Conference on Artificial Intelligence: Methodology, Systems, and Applications
Design-to-Criteria Scheduling: Real-Time Agent Control
Revised Papers from the International Workshop on Infrastructure for Multi-Agent Systems: Infrastructure for Agents, Multi-Agent Systems, and Scalable Multi-Agent Systems
Developing a Mobile Robot Control Application with CommonKADS-RT
Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems
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
A Graph-Based Approach for Timing Analysis and Refinement of OPS5 Knowledge-Based Systems
IEEE Transactions on Knowledge and Data Engineering
Incomplete solution approach for the maximum clique finding in the real time systems
AIA'06 Proceedings of the 24th IASTED international conference on Artificial intelligence and applications
Plan management in the medical domain
AI Communications
A framework for meta-level control in multi-agent systems
Autonomous Agents and Multi-Agent Systems
On places suitable for applying AI principles in NP-hard graph problems' algorithms
AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications
Flexible hard real-time scheduling for deliberative AI systems
Real-Time Systems
An Inductive Logic Programming Approach to Statistical Relational Learning
Proceedings of the 2005 conference on An Inductive Logic Programming Approach to Statistical Relational Learning
Incorporating a Temporal Bounded Execution to the CBR Methodology
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
Diagnosing faults in electrical power systems of spacecraft and aircraft
IAAI'08 Proceedings of the 20th national conference on Innovative applications of artificial intelligence - Volume 3
Approximating optimal policies for agents with limited execution resources
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Incremental Verification for On-the-Fly Controller Synthesis
Electronic Notes in Theoretical Computer Science (ENTCS)
Real-time systems: incomplete solution approach for the maximum-weighted clique problem
AIA '08 Proceedings of the 26th IASTED International Conference on Artificial Intelligence and Applications
Co-ordinating heterogeneous interactions in systems composed of active human and agent societies
ESAW'02 Proceedings of the 3rd international conference on Engineering societies in the agents world III
Understanding the scalability of Bayesian network inference using clique tree growth curves
Artificial Intelligence
Probabilistic model-based diagnosis: an electrical power system case study
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special issue on model-based diagnostics
Incorporating temporal-bounded CBR techniques in real-time agents
Expert Systems with Applications: An International Journal
Journal of Automated Reasoning
Applying AI and incomplete solution principles to solve NP-hard problems in the real-time systems
ICCOMP'06 Proceedings of the 10th WSEAS international conference on Computers
Using negotiation techniques as time-restricted scheduling policies on intelligent agents
CEEMAS'05 Proceedings of the 4th international Central and Eastern European conference on Multi-Agent Systems and Applications
Software health management with Bayesian networks
Innovations in Systems and Software Engineering
| Hi-index | 4.10 |
The research agendas of artificial intelligence and real-time systems are converging as AI methods move toward domains that require real-time responses, and real-time systems move toward complex applications that require intelligent behavior. They meet at the crossroads in an exciting new subfield commonly called "real-time AI." This subfield is still being defined, and the precise goals for various real-time AI systems are in flux. Traditionally, AI systems have been developed without much attention to the resource limitations that motivate real-time systems researchers. However, as these AI systems move from the research labs into real-world applications, they also become subject to the time constraints of the environments in which they operate. Rigorous design techniques developed by real-time systems re-searchers must be used to guarantee that a system will meet domain deadlines, even in worst-case scenarios, particularly for mission-critical assignments. The authors would like to combine guaranteed performance methods with AI planning, problem-solving, and adaptation mechanisms to build a flexible, intelligent control system that can dynamically plan its own behaviors. They describe an organizing conceptual structure, identify research goals, and specify some necessary steps for reaching them. They illustrate possible approaches with important applications that require the best of both fields. A series of examples are provided from an intensive care domain where an intelligent real-time control system could provide constant monitoring of patient needs.