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
Results 1-5 of 85
... Model 2.4 An Algorithm for the Dynamic Programming Equation 2.5 Elaborations of the Simplest Model 2.6 Discussion Appendices 2.1 Further Elaborations of the Patch Selection Paradigm 2.1.1 Alternative Constraints 9 == 11 11 15 18 58 41 ...
... Dynamic Model 113 3.4 Communal Sharing 3.5 Discussion 4 Reproduction in Insects 4.1 Fitness from Egg Production and Experimental Background 121 124 126 126 4.2 A Model with Mature Eggs Only 131 4.3 A Model with Mature Eggs and Oocytes ...
... dynamic op- timization models in behavioral ecology . We hope , indeed we're convinced , that our approach will clearly show that the modeling techniques we describe are well worth mastering . First , we be- lieve that dynamic ...
Marc Mangel, Colin Whitcomb Clark. Dynamic Modeling in Behavioral Ecology Optimization Modeling in Behavioral Ecology If by " model "
Marc Mangel, Colin Whitcomb Clark. Optimization Modeling in Behavioral Ecology If by " model " we mean simply a description of nature , then op- timization models have played a central role in evolutionary bi- ology ever since the ...
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 | |