Pursuit of food \textit{versus} pursuit of information in a Markovian perception-action loop model of foraging
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Publication:1784402
DOI10.1016/j.jtbi.2012.02.016zbMath1397.92745OpenAlexW1967431161WikidataQ51411564 ScholiaQ51411564MaRDI QIDQ1784402
Edward K. Agarwala, Peter J. Thomas, Hillel J. Chiel
Publication date: 26 September 2018
Published in: Journal of Theoretical Biology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jtbi.2012.02.016
Learning and adaptive systems in artificial intelligence (68T05) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Measures of information, entropy (94A17) Animal behavior (92D50)
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- A Mathematical Theory of Communication
- Merging for inhomogeneous finite Markov chains. II: Nash and log-Sobolev inequalities
- Quantifying information transmission in eukaryotic gradient sensing and chemotactic response
- Merging for time inhomogeneous finite Markov chains. I: Singular values and stability
- Relative information. Theories and applications. With forewords by G. J. Klir and H. Haken
- Selective pressures on genomes in molecular evolution
- Convergence of some time inhomogeneous Markov chains via spectral techniques
- Information theory in living systems, methods, applications, and challenges
- Finite non-homogeneous chains
- Statistical Mechanics of Learning
- Predictability, Complexity, and Learning
- A phase-reduced neuro-mechanical model for insect locomotion: feed-forward stability and proprioceptive feedback
- Efficient computation of optimal actions
- Models of Information Processing in the Sensorimotor Loop
- Optimal control of jump-linear gaussian systems†
- Markov Chains
- Active probing for information in control systems with quantized state measurements: a minimum entropy approach
- Optimal state estimation for stochastic systems: an information theoretic approach
- Natural scene statistics at the centre of gaze
- Log-determinant relaxation for approximate inference in discrete Markov random fields
- Multivariate Information Bottleneck
- Representations of Space and Time in the Maximization of Information Flow in the Perception-Action Loop
- Tight Data-Robust Bounds to Mutual Information Combining Shuffling and Model Selection Techniques
- Predictive Coding and the Slowness Principle: An Information-Theoretic Approach
- An algorithm for computing the capacity of arbitrary discrete memoryless channels
- Computation of channel capacity and rate-distortion functions
- Finite State Automata Resulting from Temporal Information Maximization and a Temporal Learning Rule
- Quantifying Stimulus Discriminability: A Comparison of Information Theory and Ideal Observer Analysis
- A Recurring Theorem on Determinants
