Workflow research is commonly concerned with optimization, modeling, and dependency. In this research, we however address a more fundamental issue. By modeling humans and machines as agents and making use of a theoretical computer and statecharts, we prove that many workflow problems do not have computer-based solutions. We also demonstrate a sufficient condition under which computers are able to solve these problems. We end by discussing the relationships between our research and Petri Nets, the multi-agent framework in the literature, linear programming and workflow verification
Agent-based computing represents an exciting new synthesis both for Artificial Intelligence (AI) and...
In decision support systems, it is essential to get a candidate solution fast, even if it means reso...
To support human functioning, ambient intelligent agents require knowledge about the tasks executed ...
Software agents as user agents, resource agents, and brokers may be able to enhance usefulness of wo...
International audienceIn this chapter, we introduce new research directions for agent knowledge repr...
By coordinating efforts from humans and machines, human computation systems can solve problems that ...
Many practitioners and researchers in workflow systems have stressed the importance of flexibility i...
The agent design problem is as follows: given a specification of an environment, together with a spe...
The paper addresses the problem of defining a theoretical physical agent framework that satisfies pr...
Human computation is a new research area that takes advantage of human brain power to solve problems...
Crowd-sourcing is a recent framework in which human intelligence tasks are outsourced to a crowd of ...
We completely classify the computational complexity of the basic achievement and maintenance agent d...
The workflow satisfiability problem (WSP) asks whether there exists an assignment of authorised user...
The fixed parameter tractable (FPT) approach is a powerful tool in tackling computationally hard pro...
1.1 Introduction As agent based systems move out of the controlled laboratory and simulated environm...
Agent-based computing represents an exciting new synthesis both for Artificial Intelligence (AI) and...
In decision support systems, it is essential to get a candidate solution fast, even if it means reso...
To support human functioning, ambient intelligent agents require knowledge about the tasks executed ...
Software agents as user agents, resource agents, and brokers may be able to enhance usefulness of wo...
International audienceIn this chapter, we introduce new research directions for agent knowledge repr...
By coordinating efforts from humans and machines, human computation systems can solve problems that ...
Many practitioners and researchers in workflow systems have stressed the importance of flexibility i...
The agent design problem is as follows: given a specification of an environment, together with a spe...
The paper addresses the problem of defining a theoretical physical agent framework that satisfies pr...
Human computation is a new research area that takes advantage of human brain power to solve problems...
Crowd-sourcing is a recent framework in which human intelligence tasks are outsourced to a crowd of ...
We completely classify the computational complexity of the basic achievement and maintenance agent d...
The workflow satisfiability problem (WSP) asks whether there exists an assignment of authorised user...
The fixed parameter tractable (FPT) approach is a powerful tool in tackling computationally hard pro...
1.1 Introduction As agent based systems move out of the controlled laboratory and simulated environm...
Agent-based computing represents an exciting new synthesis both for Artificial Intelligence (AI) and...
In decision support systems, it is essential to get a candidate solution fast, even if it means reso...
To support human functioning, ambient intelligent agents require knowledge about the tasks executed ...