\begin{theindexindex}
\item\indexheading{A}

  \item AAV, \see{examples, applications, autonomous vehicle}{93}
  \item agent, \see{solitary agent model, agent}{4}
  \item agent model, \see{solitary agent model}{3}
  \item AGV, \see{examples, applications, autonomous vehicle}{93}
  \item applications, \see{examples, applications}{93}
  \item artificial intelligence, \hyperpage{93}
  \item assumptions, \see{solitary agent model, assumptions}{6}
  \item automation, \see{examples, applications}{93}
  \item autonomous air vehicles, 
		\see{examples, applications, autonomous vehicle}{93}
  \item autonomous ground vehicles, 
		\see{examples, applications, autonomous vehicle}{93}
  \item average, \see{stochasticity, statistics, expectation}{6}

  \indexspace
\item\indexheading{B}

  \item bang-bang control, \indexdef{47}
  \item Borel sets, \see{mathematics, sets, Borel algebra}{6}

  \indexspace
\item\indexheading{C}

  \item capital budgeting, \see{finance, capital budgets}{72}
  \item central limit theorem (CLT), 
		\see{stochasticity, central limit theorem}{46}
  \item central moments, 
		\see{stochasticity, statistics, central moments}{20}
  \item choice, \see{solitary agent model, choice}{4}
  \item classical OFT, \see{optimal foraging theory}{1}
  \item classical optimal foraging theory, 
		\see{optimal foraging theory}{1}
  \item CLT, \see{stochasticity, central limit theorem}{46}
  \item cognition, \hyperpage{93}
  \item combined prey and patch model, 
		\see{combined task-type and processing-length choice problem}{11}
  \item combined task-type and processing-length choice problem, 
		\hyperpage{11}, \hyperpage{87}
  \item compound objectives, 
		\see{optimality, multiobjective optimization}{35}
  \item Concorde fallacy, \see{sunk-cost effect}{55}
  \item constraints, \see{optimization constraints}{66}
  \item contributions
    \subitem biology, \hyperpage{94--96}
    \subitem engineering, \hyperpage{93--94}
  \item costs, \see{solitary agent model, costs}{4}
  \item currency, \see{solitary agent model, currency}{4}

  \indexspace
\item\indexheading{D}

  \item dynamic optimization, \hyperpage{46}

  \indexspace
\item\indexheading{E}

  \item ecological rationality, \hyperpage{55}, \hyperpage{58, 59}
  \item efficiency, \see{excess efficiency}{55}
  \item EPR, \see{extreme-preference rule}{84}
  \item equilibrium process rate of net gain, 
		\see{equilibrium renewal process rate of net gain}{42}
  \item equilibrium renewal process rate of net gain, 
		\hyperpage{42--43}
  \item Erlang-2, \see{stochasticity, distributions, Erlang-2}{99}
  \item \expost {} performance measure, \hyperpage{47}
  \item examples
    \subitem analytical solutions, \indexdef{90--92}
      \subsubitem discounted net gain, \indexdef{91}
      \subsubitem excess efficiency, \indexdef{92}
      \subsubitem rate of excess net gain, \indexdef{90--91}
    \subitem applications, \indexdef{93--94}
      \subsubitem autonomous vehicle, \hyperpage{1}, \hyperpage{4}, 
		\hyperpage{31}, \hyperpage{94}
      \subsubitem military, \hyperpage{94}
      \subsubitem queueing, \hyperpage{94}
      \subsubitem surveillance, \hyperpage{31}
      \subsubitem temperature control, \indexdef{94}
    \subitem graphical solutions
      \subsubitem excess efficiency, \indexdef{56--58}
      \subsubitem rate of excess net gain, \indexdef{53--55}
      \subsubitem reward-to-variability ratio, \indexdef{59}
      \subsubitem reward-to-variance ratio, \indexdef{61}
  \item excess efficiency, \indexdef{55--56}, \hyperpage{56--58}
    \subitem graphical optimization, \hyperpage{56--58}
  \item expectation, \see{stochasticity, statistics, expectation}{6}
  \item expected utility, \see{utility theory}{72}
  \item expected value, \see{stochasticity, statistics, expectation}{6}
  \item extreme-preference rule (EPR), \indexdef{84}, \indexglo{106}

  \indexspace
\item\indexheading{F}

  \item finance
    \subitem capital budgets, \hyperpage{72}
    \subitem investment returns, \hyperpage{72}
    \subitem modern portfolio theory (MPT), \indexdef{33}, 
		\indexglo{106}
    \subitem portfolios, \hyperpage{72}
    \subitem post-modern portfolio theory (PMPT), \indexdef{34}, 
		\hyperpage{70--73}, \indexglo{106}
    \subitem stochastic dominance (SD), \indexdef{72--73}, 
		\indexglo{106}
      \subsubitem first-order (FSD), \indexdef{72--73}, \indexglo{106}
      \subsubitem third-order (TSD), \hyperpage{73}, \indexglo{106}
  \item finite expectation, 
		\see{stochasticity, statistics, finite expectation}{8}
  \item foraging, \see{optimal foraging theory}{3}
  \item foraging model, \see{solitary agent model}{3}
  \item frontier, \see{optimality, Pareto efficient}{36}
  \item future directions, \hyperpage{70}, \hyperpage{96--97}

  \indexspace
\item\indexheading{G}

  \item gain, \see{solitary agent model, point gain}{4}
  \item gain success threshold, \hyperpage{44--45}, \hyperpage{52}, 
		\hyperpage{55}, \hyperpage{58}, \hyperpage{61}
  \item gain threshold, \see{gain success threshold}{44}
  \item Gaussian distribution, 
		\see{stochasticity, distributions, normal}{46}
  \item gross gain success threshold, \hyperpage{55}

  \indexspace
\item\indexheading{I}

  \item \iid , \see{stochasticity, random variable, \iid }{8}
  \item independent and identically distributed (\iid ), 
		\see{stochasticity, random variable, \iid }{8}
  \item independent random variables, 
		\see{stochasticity, random variable, independent}{6}
  \item investment returns, \see{finance, investment returns}{72}

  \indexspace
\item\indexheading{K}

  \item Karush-Khun-Tucker (KKT) conditions, 
		\see{optimality, KKT conditions}{36}
  \item KKT conditions, \see{optimality, KKT conditions}{36}
  \item Kuhn-Tucker conditions, \see{optimality, KKT conditions}{36}

  \indexspace
\item\indexheading{L}

  \item Lagrange multiplier method, 
		\see{optimality, Lagrange multiplier method}{36}
  \item location, 
		\see{stochasticity, distributions, location-scale family}{45}
  \item location-scale, 
		\see{stochasticity, distributions, location-scale family}{45}
  \item long-term average rate of net gain, \indexdef{19}, 
		\indexdef{27}, \hyperpage{39--44}
    \subitem graphical optimization, \hyperpage{43--44}
    \subitem justification, \hyperpage{39--40}
    \subitem limit, \hyperpage{40--41}
    \subitem opportunity cost, \hyperpage{41--42}
  \item long-term rate of net gain, 
		\see{long-term average rate of net gain}{27}
  \item lower-partial moment, 
		\see{stochasticity, statistics, lower-partial moment}{70}
  \item lower-partial variance, 
		\see{stochasticity, statistics, lower-partial variance}{70}
  \item LPM, \see{stochasticity, statistics, lower-partial moment}{70}
  \item LPV, 
		\see{stochasticity, statistics, lower-partial variance}{70}

  \indexspace
\item\indexheading{M}

  \item marginal value theorem (MVT), \indexdef{44}, \hyperpage{87}, 
		\indexglo{106}
  \item Markov renewal cycle
    \subitem OFT cycle, \indexglo{108}
  \item Markov renewal cycles
    \subitem OFT cycle, 
		\see{solitary agent model, classical analysis, OFT cycle}{16}
    \subitem processing cycle, 
		\see{solitary agent model, processing-only analysis, processing cycle}{25}
  \item Markov renewal process, 
		\see{stochasticity, Markov renewal process}{98}
  \item mathematics, \indexglo{109--113}
    \subitem definition ($\triangleq $), \indexglo{109}
    \subitem equality ($=$), \indexglo{109}
    \subitem functions, \indexglo{111}
      \subsubitem convolution ($*$), \hyperpage{99}, \indexglo{112}
      \subsubitem gradient ($\nabla $), \indexglo{112}
      \subsubitem Hessian ($\nabla ^2$), \indexglo{112}
      \subsubitem integral ($\int $), \hyperpage{71}, \indexglo{112}
      \subsubitem partial derivative ($\partial $), \indexglo{111}
      \subsubitem total derivative ($\total $), \indexglo{111}
    \subitem functions(, \indexglo{111}
    \subitem limit ($\lim $ or $\to $), \indexglo{111}
    \subitem logic, \indexglo{111}
      \subsubitem equivalence ($\iff $), \indexglo{111}
      \subsubitem implication ($\implies $), \indexglo{111}
    \subitem $n$-tuple, \indexglo{110}
    \subitem numbers, \indexglo{109--110}
      \subsubitem Euclidean $n$-space ($\R ^n$), \indexglo{109}
      \subsubitem extended real numbers ($\extR $), \indexglo{109}
      \subsubitem integers ($\Z $), \indexglo{109}
      \subsubitem natural numbers ($\N $), \indexglo{109}
      \subsubitem rationals ($\Q $), \indexglo{109}
      \subsubitem real negative numbers ($\R _{<0}$), \indexglo{109}
      \subsubitem real non-negative numbers ($\R _{\geq 0}$), 
		\indexglo{109}
      \subsubitem real non-positive numbers ($\R _{\leq 0}$), 
		\indexglo{109}
      \subsubitem real non-zero numbers ($\R _{\neq 0}$), 
		\indexglo{109}
      \subsubitem real number intervals, \indexglo{110--111}
      \subsubitem real numbers ($\R $), \indexglo{109}
      \subsubitem real positive numbers ($\R _{>0}$), \indexglo{109}
      \subsubitem whole numbers ($\W $), \indexglo{109}
    \subitem order, \indexglo{111}
      \subsubitem infimum ($\inf $), \indexglo{111}
      \subsubitem maximum ($\max $), \indexglo{111}
      \subsubitem minimum ($\min $), \indexglo{111}
      \subsubitem supremum ($\sup $), \indexglo{111}
    \subitem ordered pair, \indexglo{110}
    \subitem sets, \indexglo{110--111}
      \subsubitem Borel algebra ($\Borel $), \indexglo{112}
      \subsubitem Cartesian product ($\times $), \indexglo{110}
      \subsubitem empty set ($\emptyset $), \indexglo{110}
      \subsubitem exclusion ($\notin $), \indexglo{110}
      \subsubitem power set ($\Pow $), \indexglo{110}
      \subsubitem set complement (${}^c$), \indexglo{110}
      \subsubitem set difference ($\setdiff $), \indexglo{110}
      \subsubitem set element ($\in $), \indexglo{110}
      \subsubitem set intersection ($\cap $), \indexglo{110}
      \subsubitem set union ($\cup $), \indexglo{110}
      \subsubitem subset ($\subseteq $ or $\subset $), \indexglo{110}
      \subsubitem superset ($\supseteq $ or $\supset $), \indexglo{110}
    \subitem vector spaces, \indexglo{111--112}
      \subsubitem matrix transpose (${}^\T $), \indexglo{112}
      \subsubitem vector transpose (${}^\T $), \indexglo{112}
  \item maximal expected utility, \see{utility theory}{72}
  \item maximal utility, \see{utility theory}{72}
  \item mean, \see{stochasticity, statistics, expectation}{6}
  \item mean-lower-partial-moment (MLPM) analysis, \indexdef{71}
  \item mean-lower-partial-variance analysis, \indexdef{71}
  \item mean-semivariance analysis, 
		\see{mean-lower-partial-moment analysis}{71}, 
		\see{mean-lower-partial-variance analysis}{71}
  \item mean-variance analysis (MVA), \hyperpage{44--47}, 
		\hyperpage{70}, \indexglo{106}
  \item merge before split approach, \hyperpage{13}
  \item merged Poisson process, 
		\see{stochasticity, Poisson process, merged}{14}
  \item MLPM, \see{mean-lower-partial-moment analysis}{71}
  \item model, \see{solitary agent model}{3}
  \item model assumptions, \see{solitary agent model, assumptions}{6}
  \item model weaknesses, \see{solitary agent model, weaknesses}{30}
  \item modern portfolio theory (MPT), 
		\see{finance, modern portfolio theory}{33}
  \item moments, \see{stochasticity, statistics, moments}{6}
  \item MPT, \see{finance, modern portfolio theory}{33}
  \item MSA, \see{mean-lower-partial-moment analysis}{71}
  \item multiobjective optimization, 
		\see{optimality, multiobjective optimization}{35}
  \item mutually independent and identically distributed (\iid ), 
		\see{stochasticity, random variable, \iid }{8}
  \item MVA, \see{mean-variance analysis}{70}
  \item MVT, \see{marginal value theorem}{44}

  \indexspace
\item\indexheading{N}

  \item net gain success threshold, \see{gain success threshold}{58}
  \item net point gain, \see{solitary agent model, net point gain}{4}
  \item normal distribution, 
		\see{stochasticity, distributions, normal}{46}
  \item numbers, \see{mathematics, numbers}{6}

  \indexspace
\item\indexheading{O}

  \item OFT, \see{optimal foraging theory}{1}
  \item OFT cycle, 
		\see{solitary agent model, classical analysis, OFT cycle}{16}
  \item opportunity cost, 
		\see{long-term average rate of net gain, opportunity cost}{41}
  \item optimal foraging theory, \indexdef{1}, \hyperpage{3}, 
		\hyperpage{5}, \hyperpage{12--22}, \hyperpage{27}, 
		\indexglo{106}
  \item optimality
    \subitem compound objectives, 
		\see{optimality, multiobjective optimization}{35}
    \subitem KKT conditions, \hyperpage{36}, \indexglo{106}
    \subitem Lagrange multiplier method, \hyperpage{36}, \hyperpage{38}
    \subitem multiobjective optimization, \hyperpage{35--36}
      \subsubitem linear combination, \hyperpage{36}
      \subsubitem maximin, \hyperpage{36}
    \subitem Pareto efficient, \hyperpage{36}, \indexdef{36}
    \subitem Pareto frontier, \see{optimality, Pareto efficient}{36}
    \subitem Pareto optimal, \see{optimality, Pareto efficient}{36}
  \item optimization constraints, \hyperpage{36--38}, 
		\hyperpage{66--69}
    \subitem encounter-rate, \hyperpage{37}
    \subitem gain and cost, \hyperpage{68}
    \subitem gain and time, \hyperpage{67}
    \subitem mean and standard deviation, \hyperpage{69}
    \subitem mean and variance, \hyperpage{68--69}
    \subitem nutrients, \hyperpage{37}
    \subitem time, \hyperpage{36}

  \indexspace
\item\indexheading{P}

  \item Pareto efficient, \see{optimality, Pareto efficient}{36}
  \item Pareto frontier, \see{optimality, Pareto efficient}{36}
  \item Pareto optimal, \see{optimality, Pareto efficient}{36}
  \item Pareto tradeoffs, \hyperpage{63--66}
    \subitem efficiency, \hyperpage{64}
      \subsubitem gain discounted by cost, \indexdef{64}
    \subitem gain and time, \hyperpage{64}
      \subsubitem gain discounted by time, \indexdef{64}
    \subitem mean and standard deviation, \hyperpage{65}
      \subsubitem mean discounted by standard deviation, \indexdef{65}
    \subitem mean and variance, \hyperpage{65--66}
      \subsubitem mean discounted by variance, \indexdef{65}
  \item patch model, \see{task processing-length choice problem}{11}
  \item patch overstaying, \hyperpage{48}
    \subitem rational explanation, \hyperpage{54}
  \item PMPT, \see{finance, post-modern portfolio theory}{34}
  \item point gain, \see{solitary agent model, point gain}{4}
  \item Poisson process, \see{stochasticity, Poisson process}{98}
  \item portfolios, \see{finance, portfolios}{72}
  \item post-modern portfolio theory (PMPT), 
		\see{finance, post-modern portfolio theory}{34}
  \item prey model, \see{task-type choice problem}{11}
  \item probability, \see{stochasticity}{6}
  \item probability measure, 
		\see{stochasticity, probability measure}{6}
  \item probability of success, \hyperpage{45}
  \item probability space, \see{stochasticity, probability space}{6}
  \item processing, \see{solitary agent model, processing}{4}
  \item processing cycle, 
		\see{solitary agent model, processing-only analysis, processing cycle}{25}
  \item pseudo-deterministic, 
		\see{stochasticity, random variable, pseudo-deterministic}{7}

  \indexspace
\item\indexheading{Q}

  \item queueing, \see{examples, applications, queueing}{93}

  \indexspace
\item\indexheading{R}

  \item random variables, \see{stochasticity, random variables}{6}
  \item randomness, \see{stochasticity}{6}
  \item rate maximization, \hyperpage{39--44}, \hyperpage{52}
  \item rate of excess net gain, \indexdef{52}, \hyperpage{52--55}
    \subitem analytical optimization, \hyperpage{90--91}
    \subitem graphical optimization, \hyperpage{52--55}
  \item rational agent, \see{utility theory}{72}
  \item rational objective function, \hyperpage{74--90}
    \subitem optimal solution
      \subsubitem constant disadvantage, \hyperpage{85--87}
      \subsubitem decreasing advantage-to-disadvantage, 
		\hyperpage{87--90}
  \item rationality, \see{ecological rationality}{55}
  \item real numbers, \see{mathematics, numbers, real numbers}{6}
  \item renewal process, 
		\see{stochasticity, Markov renewal process}{98}
  \item reward-to-variability
    \subitem graphical optimization, \hyperpage{47}
  \item reward-to-variability ratio, \indexdef{46}, \hyperpage{47}, 
		\hyperpage{58}, \indexdef{58}, \hyperpage{58--59}
    \subitem graphical optimization, \hyperpage{58--59}
  \item reward-to-variance ratio, \hyperpage{61}, \indexdef{61}, 
		\hyperpage{61}
    \subitem graphical optimization, \hyperpage{61}
  \item risk minimization, \see{risk sensitivity}{44}
  \item risk sensitivity, \hyperpage{44--47}, \hyperpage{52}, 
		\hyperpage{65--66}
  \item robotics, \see{examples, applications}{93}

  \indexspace
\item\indexheading{S}

  \item satisficing, \indexdef{49}
  \item scale, 
		\see{stochasticity, distributions, location-scale family}{45}
  \item SD, \see{finance, stochastic dominance}{72}
  \item searching, \see{solitary agent model, searching}{4}
  \item semivariance, 
		\see{stochasticity, statistics, lower-partial variance}{70}
  \item Sharpe ratio, \see{reward-to-variability ratio}{46}
  \item skewness, \see{stochasticity, statistics, skewness}{34}
  \item skewness preference, \hyperpage{35}
  \item solitary agent model, \hyperpage{3--5}, \indexdef{6--12}, 
		\hyperpage{12--32}
    \subitem agent, \indexdef{4}
    \subitem assumptions, \indexdef{6--8}
    \subitem choice, \indexdef{4}
    \subitem classical analysis, \indexdef{13--22}
      \subsubitem limits, \indexdef{19}
      \subsubitem OFT cycle, \hyperpage{16}, \indexdef{16}
      \subsubitem optimization, \hyperpage{39--49}, \hyperpage{74--92}
      \subsubitem Poisson encounters, \indexdef{13--14}
      \subsubitem renewal process, \indexdef{16--17}
      \subsubitem reward processes, \indexdef{14--15}, \indexdef{18}
      \subsubitem statistics, \indexdef{14--16}, \indexdef{18--22}
      \subsubitem variance, \indexdef{20--22}
    \subitem comparison of analyses, \hyperpage{29--30}
    \subitem costs, \indexdef{4}
    \subitem currency, \indexdef{4}
    \subitem decision variables, \indexdef{11}
    \subitem net point gain, \indexdef{4}
    \subitem parameters, \indexdef{9--11}, \indexglo{106--108}
    \subitem point gain, \indexdef{4}
    \subitem processing, \indexdef{4}
    \subitem processing-only analysis, \hyperpage{5}, \indexdef{22--28}
      \subsubitem limits, \indexdef{26--27}
      \subsubitem optimization, \hyperpage{49--69}, \hyperpage{74--92}
      \subsubitem Poisson encounters, \indexdef{22--23}
      \subsubitem processing cycle, \hyperpage{25}, \indexdef{25}
      \subsubitem renewal process, \indexdef{25}
      \subsubitem reward processes, \indexdef{23--26}
      \subsubitem statistics, \indexdef{24}, \indexdef{26--28}
      \subsubitem variance, \indexdef{27--28}
    \subitem random processes, \indexdef{8--9}, \indexdef{12}
    \subitem searching, \indexdef{4}
    \subitem tasks, \indexdef{4}
    \subitem weaknesses, \indexdef{30--32}
  \item speed-accuracy tradeoff, \hyperpage{38}
  \item split before merge approach, \hyperpage{22}
  \item split Poisson process, 
		\see{stochasticity, Poisson process, split}{22}
  \item stochastic dominance, \see{finance, stochastic dominance}{72}
  \item stochastic model, \see{solitary agent model}{3}
  \item stochasticity, \hyperpage{3}, \indexglo{112--113}
    \subitem central limit theorem (CLT), \hyperpage{46}, 
		\indexglo{106}
    \subitem distributions, \hyperpage{72}
      \subsubitem double exponential, \hyperpage{45}
      \subsubitem Erlang-2, \hyperpage{99}, \indexdef{99}
      \subsubitem exponential, \hyperpage{45}
      \subsubitem location, 
		\see{stochasticity, distributions, location-scale}{45}
      \subsubitem location-scale family, \indexdef{45}, 
		\hyperpage{45--46}
      \subsubitem log-normal, \hyperpage{45}
      \subsubitem normal, \hyperpage{45, 46}, \indexdef{46}
      \subsubitem scale, 
		\see{stochasticity, distributions, location-scale}{45}
      \subsubitem symmetry, \hyperpage{34}, \hyperpage{46}
      \subsubitem uniform, \hyperpage{45}
    \subitem Markov renewal process, \hyperpage{16--17}, 
		\hyperpage{98--99}
      \subsubitem limits, \hyperpage{98--99}
    \subitem Markov renewal-reward process, \hyperpage{18}, 
		\hyperpage{26}
    \subitem Poisson process, \hyperpage{98, 99}
      \subsubitem merged, \hyperpage{14, 15}, \hyperpage{22, 23}
      \subsubitem split, \hyperpage{22, 23}
    \subitem probability measure, \indexdef{6}, \indexglo{112}
    \subitem probability space, \indexdef{6}, \hyperpage{98}, 
		\indexglo{112}
    \subitem random process, \indexglo{113}
      \subsubitem almost sure limit ($\aslim $ or $\xto {a.s.}$), 
		\indexglo{113}
    \subitem random variable, \indexdef{6}, \hyperpage{34}, 
		\hyperpage{72}
      \subsubitem cumulative distribution function ($F$), 
		\indexglo{112}
      \subsubitem \iid , \indexdef{8}, \indexglo{106}
      \subsubitem independence, \indexdef{7}, \hyperpage{12}
      \subsubitem probability density function ($f$), \indexglo{112}
      \subsubitem pseudo-deterministic, \indexdef{7--8}, \hyperpage{12}, 
		\hyperpage{20}, \hyperpage{27}
      \subsubitem uncorrelated, \indexdef{7}
    \subitem statistics
      \subsubitem central moments, \indexdef{20}, \hyperpage{34}
      \subsubitem conditional expectation, \indexglo{113}
      \subsubitem expectation ($\E $), \indexdef{6}, \indexglo{112}
      \subsubitem expectation of function, \indexglo{112}
      \subsubitem expected value, 
		\see{stochasticity, statistics, expectation}{6}
      \subsubitem finite expectation, \hyperpage{8}, \indexdef{8}, 
		\hyperpage{12}
      \subsubitem lower-partial moment (LPM), \indexdef{71}, 
		\indexglo{106}
      \subsubitem lower-partial variance (LPV), \indexdef{70--71}, 
		\indexglo{106}
      \subsubitem mean, \see{stochasticity, statistics, expectation}{6}
      \subsubitem moments, \indexdef{6}
      \subsubitem normal, \hyperpage{46}
      \subsubitem semivariance, 
		\see{stochasticity, statistics, lower-partial variance}{70}
      \subsubitem skewness, \hyperpage{34--35}, \hyperpage{45}
      \subsubitem standard deviation, \hyperpage{44}, \indexdef{44}
      \subsubitem variance ($\var $), \indexdef{20}
  \item success threshold, \see{gain success threshold}{44}
  \item sunk-cost effect, \hyperpage{55}, \hyperpage{58}
  \item survival threshold, \see{gain success threshold}{44}
  \item symmetry, \see{stochasticity, distributions, symmetry}{34}

  \indexspace
\item\indexheading{T}

  \item task processing-length choice problem, \hyperpage{11}
  \item task-type choice problem, \hyperpage{11}, \hyperpage{86}
  \item tasks, \see{solitary agent model, tasks}{4}
  \item threshold, \see{gain success threshold}{44}

  \indexspace
\item\indexheading{U}

  \item UAV, \see{examples, applications, autonomous vehicle}{93}
  \item UGV, \see{examples, applications, autonomous vehicle}{93}
  \item uncorrelated random variables, 
		\see{stochasticity, random variable, uncorrelated}{6}
  \item unmanned air vehicles, 
		\see{examples, applications, autonomous vehicle}{93}
  \item unmanned ground vehicles, 
		\see{examples, applications, autonomous vehicle}{93}
  \item utilitarianism, \see{utility theory}{72}
  \item utility function, \see{utility theory}{72}
  \item utility theory, \hyperpage{65--66}, \hyperpage{72--73}

  \indexspace
\item\indexheading{V}

  \item variance, \see{stochasticity, statistics, variance}{20}
  \item vehicles, \see{examples, applications, autonomous vehicle}{93}
  \item von Neumann-Morgenstern utility, \see{utility theory}{72}

  \indexspace
\item\indexheading{Z}

  \item $z$-score, \see{reward-to-variability ratio}{46}
  \item zero-one rule, \indexdef{84}

\end{theindexindex}