• Corpus ID: 17927180

A proposed AI-Planning approach for staff management in a service center.

@inproceedings{Nguyen2007APA,
  title={A proposed AI-Planning approach for staff management in a service center.},
  author={Minh-Quang Nguyen and Philip H. P. Nguyen and Xubo Zhao and Tho-Hau Nguyen and Jean-Guy Meunier and Douglas D. O'Shaughnessy},
  year={2007}
}
This paper presents a new approach for task allocation in a Service Center, based on artificial intelligence (AI) planning techniques. Our objective is to build an expert system that automatically allocates tasks to technicians in a Service Center. We describe the process of building an AI planner, from the design phase up to the final implementation phase, through the example of an IT service Help Desk. We examine in particular the process of determining the most suitable technician to… 
2 Citations
A Belief-Based Multi-Agent Markov Decision Process for Staff Management
This paper presents a system designed for task allocation, staff management and decision support in a large enterprise, in which permanent staff and contractors work alongside under the overall
CONTRÔLE DES INTERACTIONS ORALES ENTRE HUMAIN ET MACHINE: APPROCHE D'APPRENTISSAGE MACHINE
Les techniques de reconnaissance et de synthese vocale deviennent de plus en plus performantes et robustes, ce qui facilite la creation des applications de dialogue oral humain-machine. Ce sont des

References

SHOWING 1-10 OF 11 REFERENCES
Can AI planners solve practical problems?
TLDR
With a major new extension of SIPE‐2, the problem of producing products from raw materials on process lines under production and resource constraints is described and SiPE‐2's application to it is described in some detail.
CPlan: A Constraint Programming Approach to Planning
TLDR
Evidence is presented that a constraint programming approach to planning does indeed work well and has the advantage in terms of time and space efficiency over the current state-of-the-art planners.
Total-Order and Partial-Order Planning: A Comparative Analysis
TLDR
It is shown that there are some subtle assumptions that underly the wide-spread intuitions regarding the supposed efficiency of partial-order planning, which can depend critically upon the search strategy and the structure of the search space.
An Effective QBF Solver for Planning Problems
TLDR
A first implementation of the solution algorithm is tested, based on backtracking search and on a new form of learning clauses, that is significantly faster than current state-of-the-art QBF solvers.
Artificial Intelligence: A Modern Approach
The long-anticipated revision of this #1 selling book offers the most comprehensive, state of the art introduction to the theory and practice of artificial intelligence for modern applications.
Practical planning - extending the classical AI planning paradigm
  • D. Wilkins
  • Psychology
    Morgan Kaufmann series in representation and reasoning
  • 1988
1 Reasoning about Actions and Planning 2 Basic Assumptions and Limitations 3 SIPE and Its Representations 4 Hierarchical Planning as Differing Abstraction Levels 5 Constraints 6. The Truth Criterion
Constructing Conditional Plans by a Theorem-Prover
TLDR
This paper approaches conditional planning from a new viewpoint that is motivated by the use of satisfiability algorithms in classical planning and translates conditional planning to quantified Boolean formulae in the propositional logic.
Recent Advances in AI Planning
TLDR
A survey of the latest techniques in planning algorithms, with an emphasis on propositional methods such as GRAPHPLAN and compilers that convert planning problems into propositional conjunctive normal form formulas for solution using systematic or stochastic SAT methods.
...
...