GHOST: experimenting conflicts countermeasures in the pilot's activity

An approach for designing countermeasures to cure conflict in aircraft pilots' activities is presented, both based on Artificial Intelligence and Human Factors concepts. The first step is to track the pilot's activity, i.e. to reconstruct what he has actually done thanks to the flight parameters and reference models describing the mission and procedures. The second step is to detect conflict in the pilot's activity, and this is linked to what really matters to the achievement of the mission. The third step is to design accu­ rate countermeasures which are likely to do bet­ ter than the existing onboard devices. The three steps are presented and supported by experimental results obtained from private and professional pi­ lots.

[1]  Steve Easterbrook,et al.  Handling conflict between domain descriptions with computer-supported negotiation , 1991 .

[2]  Laurent Chaudron,et al.  A Purely Symbolic Model for Dynamic Scene Interpretation , 1997, Int. J. Artif. Intell. Tools.

[3]  Katia Sycara,et al.  Multiagent Compromise via Negotiation , 1989, Distributed Artificial Intelligence.

[4]  David R. Traum,et al.  Discourse Obligations in Dialogue Processing , 1994, ACL.

[5]  Malik Ghallab,et al.  On Chronicles: Representation, On-line Recognition and Learning , 1996, KR.

[6]  L. Festinger,et al.  A Theory of Cognitive Dissonance , 2017 .

[7]  M. Hannebauer.  Their problems are my problems: the transition between internal and external conflicts , 2001 .

[8]  Michael R. Genesereth,et al.  Modeling Multiagent Cooperation as Distributed Constraint Satisfaction Problem Solving , 1994, European Conference on Artificial Intelligence.

[9]  Cristiano Castelfranchi,et al.  Conflict Ontology , 2000, Computational Conflicts.

[10]  Milind Tambe,et al.  Conflicts in agent teams , 2001 .

[11]  Ronald Lippitt,et al.  Patterns of Aggressive Behavior in Experimentally Created “Social Climates” , 1939 .

[12]  Humbert Fiorino,et al.  Agent's conflicts: new issues , 2001 .

[13]  Jeffrey S. Rosenschein,et al.  Rules of Encounter - Designing Conventions for Automated Negotiation among Computers , 1994 .

[14]  Jeffrey S. Rosenschein and Gilad Zlotkin.  Rules of Encounter , 1994 .

[15]  Johan de Kleer,et al.  An Assumption-Based TMS , 1987, Artif. Intell..

[16]  Monique Thonnat,et al.  Activity Recognition from Video Sequences using Declarative Models , 2000, ECAI.

[17]  E. Harmon-Jones,et al.  Cognitive dissonance: Progress on a pivotal theory in social psychology. , 1999 .

[18]  Victor R. Lesser,et al.  Multistage negotiation for distributed constraint satisfaction , 1991, IEEE Trans. Syst. Man Cybern..

[19]  Robert-Vincent Joule,et al.  A radical point of view on dissonance theory. , 2019, Cognitive dissonance: Reexamining a pivotal theory in psychology (2nd ed.)..

[20]  B. Kolk,et al.  The Body Keeps The Score: , 2003 .

[21]  Catherine Tessier,et al.  Towards a commonsense estimator for activity tracking , 2003 .

[22]  Marc Boyer,et al.  The cube lattice model and its applications , 2003, Appl. Artif. Intell..

[23]  S. Griffis.  EDITOR , 1997, Journal of Navigation.