Assessment and decision making in animals: A mechanistic model underlying behavioral flexibility can prevent ambiguity

Understanding how animals make decisions is a fundamental question in behavioral ecology which has cascading effects on how animals respond to environmental variation. An explicit model of the mechanisms of information processing and decision making can help prevent conflated definitions and ambiguous interpretations. Unambiguous definitions are crucial for clear communication between theoreticians and empiricists and for the rapid advancement of studies of decision making. Moreover, employing a clear model of underlying proximal processes will help bridge the gap between cognitive psychology and behavioral ecology and should aid scientific advancement. We present a simple model to guide studies of assessment and decision making. According to the model, individuals assess perceived stimuli and evaluate them for useful information. The association between perceived stimuli and evaluated information involves assessment rules. Based on evaluated information, individuals can employ trade-offs and make decisions. The association between the result of assessment and observed behavior involves decision rules. The model clearly emphasizes that the study of decision rules requires knowledge of the results of assessment, and we acknowledge the difficulty of studying assessment. However, without this knowledge, we can only study decision rules when we assume assessment rules between subjects are identical (i.e., with a uniform group of subjects). The simple model can be used to structure the design and interpretation of studies of assessment and decision making and help theoreticians and empiricists work together to understand behavioral flexibility.

[1]  G. Johnsen,et al.  The influence of food limitation on swarming behaviour in the waterflea Bosmina longispina , 1988, Animal Behaviour.

[2]  H. Roitblat Introduction to comparative cognition , 1987 .

[3]  W. Pritchard Psychophysiology of P300. , 1981, Psychological bulletin.

[4]  Robert W. Elwood,et al.  Shell Wars: Assessment Strategies and the Timing of Decisions in Hermit Crab Shell Fights , 1983 .

[5]  L. Real,et al.  Behavioral Mechanisms in Evolutionary Ecology , 1995 .

[6]  J. Krebs,et al.  Behavioural Ecology: An Evolutionary Approach , 1978 .

[7]  F. Crick Function of the thalamic reticular complex: the searchlight hypothesis. , 1984, Proceedings of the National Academy of Sciences of the United States of America.

[8]  A. Bouskila,et al.  Rules of Thumb for Predation Hazard Assessment: Predictions from a Dynamic Model , 1992, The American Naturalist.

[9]  Werner Sommer,et al.  Consciousness of attention and expectancy as reflected in event-related potentials and reaction times , 1990 .

[10]  A. Kamil,et al.  A synthetic approach to the study of animal intelligence. , 1987, Nebraska Symposium on Motivation. Nebraska Symposium on Motivation.

[11]  Burt P. Kotler Risk of predation and the structure of desert rodent communities , 1984 .

[12]  Allen J Moore,et al.  FEMALE STRATEGY DURING MATE CHOICE: THRESHOLD ASSESSMENT , 1988, Evolution; international journal of organic evolution.

[13]  Peter Kareiva,et al.  5. Renewing the Dialogue between Theory and Experiments in Population Ecology , 1989 .

[14]  John Whittaker,et al.  Rules of Thumb , 1996 .

[15]  O. L. Zangwill,et al.  Current problems in animal behaviour , 1962 .

[16]  J. Bogart,et al.  Evolution and Ecology of Unisexual Vertebrates , 1989 .

[17]  J. Godin,et al.  Risk taking in parasitized sticklebacks under threat of predation: effects of energetic need and food availability , 1988 .

[18]  Jeffrey M. Camhi,et al.  Neuroethology: Nerve Cells and the Natural Behavior of Animals , 1984 .

[19]  M. W. Tome Food patch depletion by ruddy ducks: foraging by expectation rules , 1989 .

[20]  J. Stamps Why Evolutionary Issues are Reviving Interest in Proximate Behavioral Mechanisms , 1991 .

[21]  E. Donchin,et al.  Performance of concurrent tasks: a psychophysiological analysis of the reciprocity of information-processing resources. , 1983, Science.

[22]  P. Chesson,et al.  Foraging in a patchy environment: prey-encounter rate and residence time distributions , 1989, Animal Behaviour.

[23]  A. Sih,et al.  Predator-prey interactions among fish and larval amphibians: use of chemical cues to detect predatory fish , 1987, Animal Behaviour.

[24]  Rules to leave by: patch departure in foraging blue jays , 1988, Animal Behaviour.

[25]  K. Wilson Egg laying decisions by the bean weevil Callosobruchus maculatus , 1988 .

[26]  L. Dill Animal decision making and its ecological consequences: the future of aquatic ecology and behaviour , 1987 .

[27]  L. Real,et al.  Cognition in Bees: From Stimulus Reception to Behavioral Change , 1993 .

[28]  P. Kop Reinforcement, choice and response strength , 1990 .

[29]  A. Boissy Fear and Fearfulness in Animals , 1995, The Quarterly Review of Biology.

[30]  M. Kutas,et al.  Electrophysiology of cognitive processing. , 1983, Annual review of psychology.

[31]  H. Roitblat The meaning of representation in animal memory , 1982, Behavioral and Brain Sciences.

[32]  J. P. Das,et al.  Simultaneous and successive cognitive processes , 1979 .

[33]  Bruce Hannon,et al.  Dynamic Modeling , 1994, Springer US.

[34]  Donald H. Owings,et al.  Evolutionary Dissipation of an Antisnake System: Differential Behavior By California and Arctic Ground Squirrels in Above- and Below-Ground Contexts , 1990 .

[35]  R. Seyfarth,et al.  Assessment of meaning and the detection of unreliable signals by vervet monkeys , 1988, Animal Behaviour.

[36]  H. Montgomery From cognition to action: The search for dominance in decision making. , 1989 .

[37]  M. Morgan The influence of hunger, shoal size and predator presence on foraging in bluntnose minnows , 1988, Animal Behaviour.

[38]  S. L. Lima,et al.  Behavioral decisions made under the risk of predation: a review and prospectus , 1990 .

[39]  L. Dill,et al.  A DETERMINATION OF THE ENERGETIC EQUIVALENCE OF THE RISK OF PREDATION , 1989 .

[40]  J. Dick,et al.  Assessments and decisions during mate choice in Gammarus pulex (Amphipoda). , 1989 .

[41]  C. Brooks Newer concepts of the autonomic system's role derived from reductionist and behavioral studies of various animal species. , 1983, Journal of the autonomic nervous system.

[42]  R. Seyfarth,et al.  The representation of social relations by monkeys , 1990, Cognition.

[43]  N. Carlson Physiology of behavior , 1977 .

[44]  J. Lawton,et al.  Enemy free space and the structure of ecological communities , 1984 .

[45]  Mark A. McPeek,et al.  Predation, Competition, and Prey Communities: A Review of Field Experiments , 1985 .

[46]  C. Clark,et al.  Dynamic Modeling in Behavioral Ecology , 2019 .

[47]  Thomas J. Valone,et al.  Measuring Patch Assessment Abilities of Desert Granivores , 1989 .

[48]  R. W. Elwood,et al.  How animals make assessments: information gathering by the hermit crab Pagurus bernhardus , 1989, Animal Behaviour.

[49]  Steven M. Green,et al.  The Analysis of Animal Communication , 1979 .

[50]  R. Mead,et al.  The Design of Experiments: Statistical Principles for Practical Applications. , 1989 .

[51]  I. Cuthill,et al.  Perceived risk and obstacle avoidance in flying birds , 1990, Animal Behaviour.

[52]  D. McFarland The Oxford companion to animal behavior , 1981 .

[53]  D. M. Green,et al.  Application of detection theory in psychophysics , 1970 .

[54]  P. Chesson,et al.  Sunfish foraging among patches: the patch-departure decision , 1989, Animal Behaviour.

[55]  H. Montgomery,et al.  Process and structure in human decision making , 1992 .

[56]  N. Davies,et al.  Deep croaks and fighting assessment in toads Bufo bufo , 1978, Nature.

[57]  C. Brooks The autonomic nervous system, molder and integrator of function. Review of a concept. , 1981, Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas.

[58]  J A SWETS,et al.  Is there a sensory threshold? , 1961, Science.

[59]  Daniel R. Papaj,et al.  Insect learning: ecological and evolutionary perspectives. , 1992 .

[60]  R. W. Elwood,et al.  Interrupting an assessment process to probe changes in the motivational state , 1990, Animal Behaviour.

[61]  A. Sih,et al.  Antipredator defenses and the persistence of amphibian larvae with fishes , 1988 .

[62]  M. Posner,et al.  Images of mind , 1994 .