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PlotLabel->FormBox["\"d) Positive Punishment\"", TraditionalForm], PlotRange->{All, All, All}, PlotRangePadding->{Automatic, Automatic, Automatic}], "\[IndentingNewLine]"}]], "Input", CellChangeTimes->{{3.572642990623103*^9, 3.57264302647709*^9}, 3.572643058319693*^9}], Cell[TextData[{ StyleBox["Figure 1. ", StripOnInput->False, FontWeight->Bold], "A breakdown of the conceptual response landscape for training a dog to heel \ on leash,showing each operant training quadrant on a separate graph. The \ y-axis tracks the possible probability of a dog heeling on leash depending on \ the dog\[CloseCurlyQuote]s affective (z-axis) and arousal states \ (x-axis),both of which are shown on a simple,representative scale of \ 0-10,where 0 is low arousal and a very negative affective state and 10 is \ high arousal and a very positive affective state,respectively. a)shows the \ positive reinforcement response landscape,characterised by high probabilities \ of the dog heeling on leash,peaking at moderate arousal where arousal matches \ the required activity level,and positive affective state where the dog may be \ most attentive to opportunities to access reinforcers. b) shows the negative \ reinforcement landscape,which steadily decreases in efficacy as arousal and \ affective state values increase.Increased arousal may result in a higher \ likelihood of behaviours more active than heeling on leash and more positive \ affective state may be associated with greater distractibility as the dog \ attends to stimuli in the environment that may signal access to environmental \ reinforcers. These conditions may combine to reduce the \ dog\[CloseCurlyQuote]s attention to negative reinforcement. c) shows the \ response landscape of negative punishment,which is most effective at high \ arousal and very positive affective state.In this condition the dog is likely \ to be attentive to opportunities to access reinforcement,yet may be prone to \ extraneous behaviour related to an arousal state higher than is appropriate \ for on-leash heeling. Negative punishment may aid in reducing undesired \ behaviour while maintaining desired behaviour. Efficacy may decrease with \ decreased values for arousal and affective state as dogs become more \ sensitive to reinforcement loss as their affective state declines,and less \ likely to persist in activities as arousal decreases. d) shows the response \ landscape for positive punishment. Efficacy is very low where affective state \ is negative and arousal is low as the dog is less likely to display any \ behaviours and more likely to be sensitive to punishment. Efficacy increases \ only at high arousal and very positive affective state where the dog may be \ more likely to display excessive undesired behaviour that may benefit from \ strategic suppression." }], GeneratedCell->True, CellAutoOverwrite->True, CellChangeTimes->{3.5726731742162437`*^9}] }, WindowSize->{1078, 875}, WindowMargins->{{198, Automatic}, {Automatic, 0}}, FrontEndVersion->"8.0 for Mac OS X x86 (32-bit, 64-bit Kernel) (October 5, \ 2011)", StyleDefinitions->"Default.nb" ] (* End of Notebook Content *) (* Internal cache information *) (*CellTagsOutline CellTagsIndex->{} *) (*CellTagsIndex CellTagsIndex->{} *) (*NotebookFileOutline Notebook[{ Cell[557, 20, 103211, 1702, 842, "Input"], Cell[103771, 1724, 49859, 822, 400, "Input"], Cell[153633, 2548, 40612, 669, 459, "Input"], Cell[194248, 3219, 2646, 40, 163, InheritFromParent] } ] *) (* End of internal cache information *)