Dynamic Modeling in Behavioral EcologyThis book describes a powerful and flexible technique for the modeling of behavior, based on evolutionary principles. The technique employs stochastic dynamic programming and permits the analysis of behavioral adaptations wherein organisms respond to changes in their environment and in their own current physiological state. Models can be constructed to reflect sequential decisions concerned simultaneously with foraging, reproduction, predator avoidance, and other activities. |
From inside the book
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... 65 2.1.4 A Model with " Fat Reserves " and " Gut Contents " 2.1.5 Sequential Coupling 2.1.6 Uncertain Final Time 71 2.2 Lifetime Fitness and Utility 6853 67 69 73 2.3 Behavioral Observations and Forward Iteration 2.4 The Fitness of ...
Marc Mangel, Colin Whitcomb Clark. 2.3 Behavioral Observations and Forward Iteration 2.4 The Fitness of Suboptimal Strategies Addendum to Part I : How to Write a Computer Program 76 79 82 || II Applications 105 3 The Hunting Behavior of ...
... observed morphology , physiology , and be- havior of living organisms on the basis of optimization principles . Darwin's hypothesis provides a unifying principle in biology which is every bit as powerful as Hamilton's principle of least ...
... observations . Perhaps evolution is more adept at locating optima than we are in discovering in what ways a certain behavior is adaptive . Another possible reason for the failure of optimization models to explain observations arises ...
... observations . These applications are presented as illustrations of the scope of the dynamic modeling approach . They are by no means exhaustive treatments of their particular subjects ; in fact most of these subjects would be worthy of ...
Contents
Fundamentals | 9 |
Basic Probability | 11 |
12 Discrete Random Variables and Distributions | 15 |
13 Conditional Expectation | 18 |
Patch Selection | 41 |
22 Biological Examples | 42 |
23 The Simplest State Variable Model | 45 |
24 An Algorithm for the Dynamic Programming Equation | 52 |
51 Diel Vertical Migrations of Zooplankton | 152 |
52 Diel Migrations of Planktivores | 165 |
53 Predictions of Zooplankton Migrations | 178 |
Parental Allocation and Clutch Size in Birds | 182 |
61 A SingleYear Model of Parental Allocation and Clutch Size | 183 |
62 A MultiYear Model of Parental Allocation and Clutch Size | 192 |
63 Hypothesis Generation and Testing Dynamic Behavioral Models | 195 |
Movement of Spiders and Raptors | 198 |
25 Elaborations of the Simplest Model | 58 |
26 Discussion | 63 |
How to Write a Computer Program | 82 |
Applications | 105 |
The Hunting Behavior of Lions | 107 |
31 The Serengeti Lion | 108 |
32 Some Possible Explanations of Lions Hunting Behavior | 109 |
33 A Dynamic Model | 113 |
34 Communal Sharing | 121 |
35 Discussion | 124 |
Reproduction in Insects | 126 |
42 A Model with Mature Eggs Only | 131 |
43 A Model with Mature Eggs and Oocytes | 142 |
44 Parasitism and Density Dependence | 143 |
45 Discussion | 148 |
Migrations of Aquatic Organisms | 149 |
71 Movement of OrbWeaving Spiders | 199 |
72 Population Consequences of Natal Dispersal | 204 |
Additional Topics | 213 |
Formulation and Solution of State Variable Models | 215 |
81 Identifying State Variables Constraints and Dynamics | 217 |
Fitness | 223 |
83 The Dynamic Programming Algorithm | 225 |
84 Alternative Modeling Approaches | 233 |
Some Extensions of the Dynamic Modeling Approach | 247 |
92 Dynamic Behavioral Games | 259 |
Epilogue Perspectives on Dynamic Modeling | 280 |
References | 289 |
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306 | |