2017/03/17 by Valery Vilisov, Vilisov, Valery
Computer Science · Decision Sciences · Engineering · #AI-based Problem Solving and Planning #FOS: Computer and information sciences #Fault Detection and Control Systems #Human-Computer Interaction (cs.HC) #Risk and Safety Analysis #Robotics (cs.RO)
paper · pdf · doi:10.48550/arxiv.1703.06161
openalex publication_date 2017/03/17 · openalex created_date 2017/04/14 · openalex updated_date 2026/07/28
This work suggests the estimation method developed in relation to the position of the robotic system (RS) operator, showing his degree of risk proneness. The base models are: Hurwitz pessimism/optimism criterion and decision trees. The problem is solved using the reverse setting: we estimate pessimism/optimism parameter of the operator (decision taker) by observing what decisions he makes when controlling the RS. The solution context of such decision taker position estimation problems can be: using RS in emergency situations, in military actions and other situations connected with the uncertainty of the situation.