  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.
