Decision-makers in the tactical environment are cognisant of its contested, complex, unknown and dynamic nature. Traditional tactical information gathering and processing methods and decision-making processes within the current tactical environment are becoming less effective and burdensome. New tactical fighter air platforms require high-quality situation awareness and more advanced decision-making methodologies in order to deliver decision superiority. In essence, new generations of tactical air platforms require a redesign of their tactical Decision Support System (DSS), or Tactical Decision Aid (TDA). Furthermore, these new air platforms can no longer work in isolation, but are required to be part of a distributed team. Therefore not only do new techniques in distributed decision making need to be developed, but the concept of Distributed Tactical Deci-sion Aids (DisTDAs) needs to be experimented. The issue on how to implement Coordination and Cooperation (Coo^2) within DisTDAs needs to be firstly addressed.
The Future Integrated Mission System (FIMS) is a first-of-its-kind Service-Oriented Architecture (SOA)-based future integrated mission system for new tactical air strike platforms. The next step is to make FIMS and its TDA distributed - this can be achieved by integrating the Agent Coordination and Cooperation Cognitive Model (AC^3M).
AC^3M illustrates how to implement agent coordination and cooperation by means of a cognitive and Intelligent Multi-Agent System (I-MAS). The centerpiece of AC^3M is the ability to successfully show the link between Coo^2 and how beneficial the link is for enhancing team automation. Analysing the model produces three remarkable results: firstly is the Stimulate-Orient-Decide-Act methodology and secondly is how the Belief, Desire and Intention (BDI) framework, Coo^2 and Stimulate-Orient-Decide-Act (SODA) were linked and interconnected. The final result was the enhanced decision-making that utilised the benefits created from the annexation of the BDI framework, Coo^2 and SODA.
References
1.
AlleeV., The Knowledge Evolution: Expanding Organizational Intelligence, Focal Press, 1997.
2.
AnscombeG.E.M., Intention, Proceedings of the Aristotelian Society57 (1956), 321-332.
3.
AudiR., Practical Reasoning, Routledge, UK, 1989.
4.
AuneB., Reason and Action, chapter 3: Deliberation, D. Reidel Publishing Company, 1977, pp. 112-143.
5.
BanksS.B. and LizzaC.S., Pilot's associate: A cooperative knowledge-based system application, IEEE Expert (June 1991), 18-28.
6.
BratmanM.E., Intention, plans and practical reasoning, Harvard University, 1987.
7.
BratmanM.E., IsraelD.J. and PollackM.E., Plans and resource-bounded practical reasoning, Computational Intelligence4(4) (1988), 349-355.
8.
Cannon-BowersJ.A., SalasE. and ConverseS., Shared mental models in expert team decision making, in: Individual and Group Decision Making: Current Issues, Lawrence Erlbaum Associates, (1993), 221-246.
9.
CapeloC. and DiasJ.F., Exploring the role of mental models in strategic decision making, in: CELDA 2008: IADIS International Conference on Cognition and Exploratory Learning in Digital Age, 2008.
10.
ChermackT.J., Mental models in decision making and implications for human resource development, Advances in Developing Human Resources5(4) (2003).
11.
ConsoliA., Enhancing team automation in dynamic environments, Ph.D. thesis, School of Electrical and Information Engineering, University of South Australia, 2009.
12.
ConsoliA., Intelligent Decision Technology Support in Practice, chapter AC3M: The Agent Coordination and Cooperation Cognitive Model, Springer-Verlag, 2015.
13.
ConsoliA., TweedaleJ. and JainL., The link between agent coordination and cooperation, in: ICIIP2006 - 3rd International Conference on Intelligent Information Processing, ShiZ., ShimoharaK. and FengD., eds, Vol. 228, Springer-Verlag, Adelaide, South Australia, Australia, 2006, pp. 11-19.
14.
ConsoliA., TweedaleJ. and JainL., An overview of agent coordination and cooperation, in: KES2006: 10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, GabrysB., HewlettR.J. and JainL.C., eds, 2006.
15.
ConsoliA., TweedaleJ. and JainL., An architecture for agent coordination and cooperation, in: KES'2007: 11th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, ApolloniB., HowlettR.J. and JainL.C., eds, Springer-Verlag, Vietre sul Mare, Italy, 12-14 September 2007, pp. 934-940.
16.
ConsoliA., TweedaleJ. and JainL., Defining a decision-support framework in ac3m, in: IDT'09: First KES International Symposium in Intelligent Decision Technologies, NakamatsuK., Phillips-WrenG., JainL. and HowlettR., eds, 2009, pp. 203-212.
17.
EisenhardtR.G., Pilot's associate definition study, Technical Report 5116, Defense Advanced Research Projects Agency, May 1985.
18.
EllwartT., Assessing coordination in human groups: Concepts and methods, in: Coordination in Human and Primate Groups, Springer-Verlag, 2011.
19.
FereidunianA., LehtonenM., LesaniH., LucasC. and NordmanM., Challenges in implementation of human automation interaction models, in: Mediterranean Conference on Control and Automation, (2007), 1-6.
20.
FereidunianA., LehtonenM., LesaniH., LucasC. and NordmanM., Adaptive autonomy: Smart cooperative cybernetic systems for more human automation solutions, in: IEEE International Conference on Systems, Man and Cybernetics, (2007), 202-207.
21.
FitzgeraldJ.R. and GrossmanJ.D., Decision aids - who needs `em', in: Workshop on the Impact and Potential of Decision Research on Decision Aiding, TolcottM. and HoltV., eds, 1987, pp. 55-57.
22.
ForresterJ.W., Industrial Dynamics, MIT Press, 1961.
23.
GenterB. and StevensA., Mental Models, Lawrence Erlbaum Associates, 1983.
24.
GeorgeffM.P., PellB., PollackM.E., TambeM. and WooldridgeM., The belief-desire-intention model of agency, in: ATAL '98: 5th International Workshop on Intelligent Agents V, Agent Theories, Architectures, and Languages, Springer-Verlag, London, UK, (1999), 1-10.
25.
GibsonC.P. and GarrettA.J., Towards a future cockpit: The prototyping and pilot integration of the mission management aid (mma), in: AGARD Aerospace Medical Panel Symposium on ``Situational Awareness in Aerospace Operations'', AGARD CP 478, 1990.
26.
GorryG.A. and MortonM.S.S., A Framework for Management Information Systems, Vol. 13, Massachusetts Institute of Technology, 1971.
27.
HarmanG., Practical reasoning, The Review of Metaphysics29(3) (1976), 431-463.
28.
HarmanG., The Oxford Handbook of Rationality, chapter Practical Aspects of Theoretical Reasoning, Oxford University Press, 2004, pp. 45-57.
29.
Johnson-LairdP.N., Mental models in cognitive science, Cognitive Science4 (1980), 71-115.
30.
Johnson-LairdP.N., Cognition, computers and mental models, Cognition, 1981.
31.
Johnson-LairdP.N., Mental Models: Towards a Cognitive Science of Language, Inference and Consciousness, Cambridge University Press, 1983.
32.
Johnson-LairdP.N., Mental models and human reasoning, Proceedings of the National Academy of Sciences of the United States of America107(43) (2010), 18243-18250.
33.
Johnson-LairdP.N. and ShafirE., The interaction between reasoning and decision-making: An introduction, Cognition49 (1993), 1-9.
34.
JonkerC.M., van RiensdijkM.B. and VermeulenB., Shared mental model: A conceptual analysis, in: COIN 2010: International Workshop on Coordination, Organizations, Institutions, and Norms in Agent Systems VI, 2010.
35.
KaberD., HancockR., JagacinskiP.A., ParasurmanR., WickensC., WilsonG. and WickensC., Pioneers in cognitive engineering & decision making research foundational contributions to the science of human-automation interaction, in: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, SAGE Publications 55 (September 2011), 321-325.
36.
KinnyD. and GeorgeffM., Modelling and design of multi-agent systems, in: Intelligent Agents III Agent Theories, Architectures, and Languages, Springer-Verlag, 1996, pp. 1-20.
37.
KinnyD., GeorgeffM. and RaoA., A methodology and modelling technique for systems of bdi agents, in: MAAMAW '96: 7th European Workshop on Modelling Autonomous Agents in a Multi-agent World: Agents Breaking Away, Springer-Verlag New York, Einhoven, The Netherlands, (1996), 56-71.
38.
KolbeM., StrackM., SteinA. and BoosM., Effective coordination in human group decision making: Micro-co: A microanalystical taxonomy for analysing explicit coordination mechanisms in decision-making groups, in: Coordination in Human and Primate Groups, Springer-Verlag, 2011.
39.
LegrenziP., GirottoV. and Johnson-LairdP.N., Focussing in reasoning and decision-making, Cognition49 (1993), 37-66.
40.
LiuS., DuffyA.H.B., WhitfieldR.I. and BoyleI.M., Integration of decision support systems to improve decision support performance, Knowledge and Information Systems22(3) (2010), 261-286.
41.
LlinasJ., DruryC., BialasW. and ChenA.-C., Studies and analyses of vulnerabilities in aided adversarial decision making, Technical report, Air Force Research Laboratory, 1998.
42.
LoveseyE.J. and DavisR.I., Integrating machine intelligence into the cockpit to aid the pilot, in: AGARD Symposium of Avionics Panel on ``Machine Intelligence for Aerospace Electronic Systems'', number AGARD CP 499, NATO Science and Technology Organization, 1991.
43.
MosierK.L. and SkitkaL.J., Human decision makers and automated decision aids: Made for each other? in: Naturalistic Decision Making, ZsambokC. and KleinG., eds, 1997, pp. 201-218.
44.
OrasanuJ., Shared mental models and crew decision-making, in: 12th Annual Conference of the Cognitive Science Society, 1990.
45.
OrasanuJ. and SalasE., Team decision making in complex environments, in: Decision Making in Action: Models and Methods, KleinG.A., OrasanuJ., CalderwoodR. and ZsambokC.E., eds, 1993.
46.
ParadisS., BretonR. and RoyJ., Data fusion in support of dynamic human decision making, in: Fusion'99: 2nd International Conference on Information Fusion, 1999.
47.
ParasuramanR., Designing automation for human use: Empirical studies and quantitative models, Ergonomics43(7) (2000), 931-951.
48.
ParasuramanR., BahriT., DeatonJ.E. and MorrisionJ.G., Theory and design of adaptive automation in aviation syste, Technical Report NAWCADWAR-920233-60, Air Vehicle and Crew Systems Technology Department, Naval Air Warfare Centre, Warminster, Pennsylvannia, United States of America, July 1992.
49.
PhelpsR.H., HalpinS.M. and JohnsonE.M., A decision support framework for decision aid designers, Technical Report Technical Report 504, United States Army Research Institute for the Behavioural and Social Sciences, 1981.
50.
Phillips-WrenG., MoraM., GarridoL., GuptaJ.N.D., ManuelM.T. and ForgionneG.A., A multicriteria model for the evaluation of intelligent decision-making support systems (i-dmss), in: Intelligent Decision-making Support Systems, Springer, (2006), 3-24.
51.
PipeH.J., The uk mission management aid project, in: Automatic Control in Aerospace: Selected Papers From the 12th IFAC Symposium, Ottobrunn, Germany, (1992), 263-268.
52.
PomerolJ.-C., Artificial intelligence and human decision making, European Journal of Operational Research99(1) (1997), 3-25.
53.
RaoA.S. and GeorgeffM.P., Formal models and decision procedures formulti-agent systems, Technical report, Australian Articial Intelligence Institute, 1995.
54.
RasmussenJ., On the structure of knowledge-a morphology of metal models in a man-machine system context, Technical Report RISO-M-2192, RisøNational Laboratory, Roskilde, Denmark, 1979.
55.
RasmussenJ., Skills, rules, and knowledge; signals, signs, and symbols, and other distinctions in human performance models, IEEE Transactions on Systems, Man and CyberneticsSMC-13(3) (1983), 257-266.
56.
RouseD.M. and HummelT.C., The pilots associate: Enhancing situational awareness through cooperating expert systems, in: AeroTech 87: Aerospace Technology Conference, 1987.
57.
RouseW.B. and MorrisN.M., On looking into the black box: Prospects and limits in teh search gfor mental models, Technical report, Office of Naval Research, 1985.
58.
SaatyT.L., How to make a decision: The analytic hierarchy process, European Journal of Operational Research48(1) (1990), 9-26.
59.
SaatyT.L., Decision making with the analytic hierarchy process, International Journal of Services Sciences1(1) (2008), 83-98.
60.
SempleW.G., Development of tactical decision aids, in: AGARD Symposium of Avionics Panel on ``Machine Intelligence for Aerospace Electronic Systems'', NATO Report No: AGARD CP 499, North Atlantic Treaty Organisation (NATO) 1991.
61.
ShimJ.P., WarkentinM., CourtneyJ.F., PowerD.J., ShardaR. and CarlssonC., Past, present, and future of decision support technology, Decision Support Systems33(2) (2002), 111-126.
62.
SimonH.A., The New Science of Management Decision, Harper and Brothers, New York, United States of America, 1960.
63.
SimonH.A., The logic of heuristic decision making, in: The Logic of Decision and Action, RescherN., ed., 1967, pp. 1-20.
StoutR.J., Cannon-BowersJ.A., SalasE. and MilanovichD.M., Planning, shared mental models, and coordinated performance: An empirical link is established, Human Factors: The Journal of the Human Factors and Ergonomics Society41(1) (1999), 61-71.
66.
LiangJ., TurbanT.-P. and AronsonE., Decision Support Systems and Intelligent Systems, Pearson Prentice Hall, 2005.
67.
VellemanJ.D., Practical reflection, The Philosophical Review94(1) (1985), 33-61.
68.
WangG. and RuheY., The cognitive process of decision making, International Journal of Cognitive Informatics and Natural Intelligence, 2007.
69.
WatkinsF.M., NoonanC.A., RobertsK. and UptonN.K., Integration issues in modular mission management aid development, in: 1st AGARD Symposium of Mission Systems Panel on ``Guidance and Control for Future Air-Defence Systems'', AGARD CP 555, NATO Science and Technology Organization, 1994.
70.
WigginsD., Practical Reasoning, chapter 10: Deliberation and Practical Reasoning, Oxford University Press, 1978, pp. 144-152.
71.
WittenbaumG.M., StasserG. and MerryC.J., Tacit coordination in anticipaion of small groups, Journal of Experimental Social Psychology32 (1996), 129-152.
72.
WittenbaumG.M., VaughanS.I. and StasserG., Coordination in task-performing groups, in: Theory and Research on Small Groups, TindaleR., HeathL., EdwardsJ., PosavacE., BryantF., Suarez-BalcazarY., Henderson-KingE. and MyersJ., eds, 1998, pp. 177-204.
73.
YenJ., FanX., SunS., HanrattyT. and DumerJ., Agents with shared mental models for enhancing team decision makings, Decision Support Systems41 (2006), 634-653.
74.
ZacharyW., Beyond user-friendly: Building decision-aid interafces for expert end users, in: IEEE Conference on Systems, Man & Cybernetics (1986), 641-47.
75.
ZacharyW., A cognitively based functional taxonomy of decision support techniques, Human-Computer Interaction2(1) (1986), 25-63.
76.
ZacharyW., WherryR., GlennF. and HopsonJ., Decision situations, decision processes, and decision functions: Towards a theory-based framework for decision-aid design, in: Proceedings of the 1982 Conference on Human Factors in Computing Systems, ACM (1982), 355-358.
