Agent-Based Air Traffic Control in Airport Airspace

The paper presents multi agent system approach and software prototype aimed at the air traffic control in airport airspace. The system consists of agents playing roles of assistant aircraft crews and assistant air traffic control operator of approach zone. According to selected organizational structure of multi agent system two different approaches to air traffic control are used. Within the approach zone coordination of agents' behavior is based on decisions made by assistant operator agent. Within the arrival zone assistant aircraft crews' agents make decision autonomously using a priory agreed behavior policy.

[1]  Oleg Karsaev,et al.  Multi-Agent System Development Kit , 2004, Intelligent Information Processing.

[2]  Nancy A. Lynch,et al.  An introduction to input/output automata , 1989 .

[3]  Michael Luck,et al.  A Formal Framework for Agency and Autonomy , 1995, ICMAS.

[4]  Mark Witkowski,et al.  A Dialectic Architecture for Computational Autonomy , 2003, Agents and Computational Autonomy.

[5]  Cristiano Castelfranchi,et al.  Guarantees for Autonomy in Cognitive Agent Architecture , 1995, ECAI Workshop on Agent Theories, Architectures, and Languages.

[6]  Hermann Haken,et al.  An Introduction: Nonequilibrium Phase Transitions and Self-Organization in Physics, Chemistry and Biology , 2004 .

[7]  Robin Milner,et al.  Communication and concurrency , 1989, PHI Series in computer science.

[8]  Hans Weigand,et al.  I am Autonomous, You are Autonomous , 2003, Agents and Computational Autonomy.

[9]  Gérard Berry,et al.  The chemical abstract machine , 1989, POPL '90.

[10]  Matthias Klusch,et al.  Software agent-based applications, platforms and development kits , 2005 .

[11]  Martin K. Purvis,et al.  An Architecture for Self-Organising Evolvable Virtual Machines , 2004, Engineering Self-Organising Systems.

[12]  James K. Archibald,et al.  A cooperative multi-agent approach to free flight , 2005, AAMAS '05.

[13]  Jeffrey D. Ullman,et al.  Introduction to Automata Theory, Languages and Computation , 1979 .

[14]  Daniel Le Métayer,et al.  A parallel machine for multiset transformation and its programming style , 1988, Future Gener. Comput. Syst..

[15]  Michael Rovatsos,et al.  Agents And Computational Autonomy: Potential, Risks, And Solutions (Lecture Notes in Computer Science) , 2004 .

[16]  Betsey Dexter Dyer,et al.  The origin of eukaryotic cells , 1985 .

[17]  S. Gould,et al.  Exaptation—a Missing Term in the Science of Form , 1982, Paleobiology.

[18]  H. Haken.  Synergetics: an Introduction, Nonequilibrium Phase Transitions and Self-organization in Physics, Chemistry, and Biology , 1977 .

[19]  Abdelkader Gouaïch,et al.  Requirements for Achieving Software Agents Autonomy and Defining their Responsibility , 2003, Agents and Computational Autonomy.

[20]  Kagan Tumer,et al.  Distributed agent-based air traffic flow management , 2007, AAMAS '07.

[21]  Rocco De Nicola,et al.  CCS without tau's , 1987, TAPSOFT, Vol.1.

[22]  S. Shankar Sastry,et al.  Conflict resolution for air traffic management: a study in multiagent hybrid systems , 1998, IEEE Trans. Autom. Control..

[23]  Martin K. Purvis,et al.  Self-adaptation and Dynamic Environment Experiments with Evolvable Virtual Machines , 2005, Engineering Self-Organising Systems.

[24]  A. Turing.  On Computable Numbers, with an Application to the Entscheidungsproblem. , 1937 .

[25]  Thomas S. Ray,et al.  An Approach to the Synthesis of Life , 1991 .

[26]  Jürgen Schmidhuber,et al.  Optimal Ordered Problem Solver , 2002, Machine Learning.

[27]  Arthur C. Graesser,et al.  Is it an Agent, or Just a Program?: A Taxonomy for Autonomous Agents , 1996, ATAL.

[28]  L. Margulis.  Symbiosis in cell evolution: Life and its environment on the early earth , 1981 .

[29]  Selmer Bringsjord,et al.  Superminds: People Harness Hypercomputation, and More , 2003 .

[30]  Olivier Boissier,et al.  Autonomy in Multi-agent Systems: A Classification Attempt , 2003, Agents and Computational Autonomy.