ArticleRoyal Society open science2018
What can associative learning do for planning?
Article in Royal Society open science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Lateral habenula and periaqueductal gray neurons signal reward prediction error and continuity of reward expectancy to drive reward-seeking behavior.Cell reports · 2026Article
- Assessing the limits of delay of gratification in bumble bees.Scientific reports · 2025Article
- Sequences and animal intelligence.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Review
- Periaqueductal gray passes over disappointment and signals continuity of remaining reward expectancy.Research square · 2025Article
- Periaqueductal gray passes over disappointment and signals continuity of remaining reward expectancy.bioRxiv : the preprint server for biology · 2024Article
- Limits of flexibility and associative learning in pigeons.Learning & behavior · 2024Article
- Sequence representation as an early step in the evolution of language.PLoS computational biology · 2023Article
- The pigeon as a machine: Complex category structures can be acquired by a simple associative model.iScience · 2023Article
- Computational models of episodic-like memory in food-caching birds.Nature communications · 2023Article
- Resolving the associative learning paradox by category learning in pigeons.Current biology : CB · 2023Article
- A test of memory for stimulus sequences in great apes.PloS one · 2023Article
- No evidence for future planning in Canada jays (Biology letters · 2021Article
- Foraging efficiency in temporally predictable environments: is a long-term temporal memory really advantageous?Royal Society open science · 2021Article
- Replications, Comparisons, Sampling and the Problem of Representativeness in Animal Cognition Research.Animal behavior and cognition · 2021Article
- Cuttlefish exert self-control in a delay of gratification task.Proceedings. Biological sciences · 2021Article
- Ants Can Anticipate the Following Quantity in an Arithmetic Sequence.Behavioral sciences (Basel, Switzerland) · 2021Article
- The hidden side of animal cognition research: Scientists' attitudes toward bias, replicability and scientific practice.PloS one · 2021Article
- A-learning: A new formulation of associative learning theory.Psychonomic bulletin & review · 2020Review
- New Caledonian crows plan for specific future tool use.Proceedings. Biological sciences · 2020Article
- Macphail's Null Hypothesis of Vertebrate Intelligence: Insights From Avian Cognition.Frontiers in psychology · 2020Review
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1 author.
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Abstract
There is a new associative learning paradox. The power of associative learning for producing flexible behaviour in non-human animals is downplayed or ignored by researchers in animal cognition, whereas artificial intelligence research shows that associative learning models can beat humans in chess. One phenomenon in which associative learning often is ruled out as an explanation for animal behaviour is flexible planning. However, planning studies have been criticized and questions have been raised regarding both methodological validity and interpretations of results. Due to the power of associative learning and the uncertainty of what causes planning behaviour in non-human animals, I explored what associative learning can do for planning. A previously published sequence learning model which combines Pavlovian and instrumental conditioning was used to simulate two planning studies, namely Mulcahy & Call 2006 'Apes save tools for future use.'
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