Learning Bias, Cultural Evolution of Language, and the Biological Evolution of the Language Faculty

Human Biology ◽  
2011 ◽  
Vol 83 (2) ◽  
pp. 261-278 ◽  
Author(s):  
Kenny Smith
Keyword(s):  
Cultural Evolution ◽  
Biological Evolution ◽  
Evolution Of Language ◽  
Language Faculty

scholarly journals Cultural evolution: implications for understanding the human language faculty and its evolution

2008 ◽  
Vol 363 (1509) ◽  
pp. 3591-3603 ◽  
Author(s):  
Kenny Smith ◽  
Simon Kirby
Keyword(s):  
Cultural Evolution ◽  
Communication Systems ◽  
Formal Model ◽  
Biological Evolution ◽  
Natural World ◽  
Human Language ◽  
Evolution Of Language ◽  
Language Faculty ◽  
Explanatory Account ◽  
Biological Capacity

Human language is unique among the communication systems of the natural world: it is socially learned and, as a consequence of its recursively compositional structure, offers open-ended communicative potential. The structure of this communication system can be explained as a consequence of the evolution of the human biological capacity for language or the cultural evolution of language itself. We argue, supported by a formal model, that an explanatory account that involves some role for cultural evolution has profound implications for our understanding of the biological evolution of the language faculty: under a number of reasonable scenarios, cultural evolution can shield the language faculty from selection, such that strongly constraining language-specific learning biases are unlikely to evolve. We therefore argue that language is best seen as a consequence of cultural evolution in populations with a weak and/or domain-general language faculty.

scholarly journals How culture and biology interact to shape language and the language faculty

2018 ◽  
Author(s):  
Kenny Smith
Keyword(s):  
Language Learning ◽  
Cultural Evolution ◽  
Cognitive Biases ◽  
Biological Evolution ◽  
Evolutionary Process ◽  
Evolutionary Models ◽  
Language Faculty ◽  
Repeated Cycle ◽  
Individual Level ◽  
Precise Relationship

Recent work suggests that linguistic structure develops through cultural evolution, as a consequence of the repeated cycle of learning and use by which languages persist. This work has important implications for our understanding of the evolution of the cognitive basis for language: in particular, human language and the cognitive capacities underpinning it are likely to have been shaped by co-evolutionary processes, where the cultural evolution of linguistic systems is shaped by and in turn shapes the biological evolution of the capacities underpinning language learning. I review several models of this co-evolutionary process, which suggest that the precise relationship between evolved biases in individuals and the structure of linguistic systems depends on the extent to which cultural evolution masks or unmasks individual-level cognitive biases from selection. I finish by discussing how these co-evolutionary models might be extended to cases where the biases involved in learning are themselves shaped by experience, as is the case for language.

scholarly journals The Cultural Evolution of Language

2022 ◽  
Author(s):  
Rachael Bailes ◽  
Christine Cuskley
Keyword(s):  
Cultural Evolution ◽  
Language Change ◽  
Experimental Studies ◽  
Cultural Variation ◽  
Evolution Of Language ◽  
Language Faculty ◽  
Agent Based ◽  
Cultural Systems ◽  
The Relationship

Language is one of only a handful of human cultural systems that is both unique to our species, and universal. This chapter will focus on the cultural evolution of language, situating this alongside the phylogenetic and developmental timescales which also feed into the evolution of language. The chapter begins by outlining the relationship between the emergence of human language and the language faculty and the more rapid, ongoing processes of language change, which are often framed as predominantly cultural. In particular, previous work has emphasised how these timescales interact, and how cultural factors in particular shape which aspects of language exhibit broad cross-cultural variation or stability. This is followed by detailed evidence for this relationship from three domains, focusing on the role of cultural evolution in language as observed in natural language (both historical corpora and cross linguistic data), the cultural evolution of language in agent-based models, and finally, experimental studies of the cultural evolution of language. We conclude that the study of the cultural evolution of language forms an important data-rich model for the study of the evolution of cultural systems more generally, while also providing key insights into the specific dynamics of this uniquely human behaviour.

scholarly journals A computational model of the cultural co-evolution of language and mindreading

Synthese ◽  
2020 ◽  
Author(s):  
Marieke Woensdregt ◽  
Chris Cummins ◽  
Kenny Smith
Keyword(s):  
Social Cognition ◽  
Computational Model ◽  
Cultural Evolution ◽  
Mental Representations ◽  
Biological Evolution ◽  
Evolution Of Language ◽  
The Right ◽  
Context Simulation ◽  
Innate Ability ◽  
Do So

Abstract Several evolutionary accounts of human social cognition posit that language has co-evolved with the sophisticated mindreading abilities of modern humans. It has also been argued that these mindreading abilities are the product of cultural, rather than biological, evolution. Taken together, these claims suggest that the evolution of language has played an important role in the cultural evolution of human social cognition. Here we present a new computational model which formalises the assumptions that underlie this hypothesis, in order to explore how language and mindreading interact through cultural evolution. This model treats communicative behaviour as an interplay between the context in which communication occurs, an agent’s individual perspective on the world, and the agent’s lexicon. However, each agent’s perspective and lexicon are private mental representations, not directly observable to other agents. Learners are therefore confronted with the task of jointly inferring the lexicon and perspective of their cultural parent, based on their utterances in context. Simulation results show that given these assumptions, an informative lexicon evolves not just under a pressure to be successful at communicating, but also under a pressure for accurate perspective-inference. When such a lexicon evolves, agents become better at inferring others’ perspectives; not because their innate ability to learn about perspectives changes, but because sharing a language (of the right type) with others helps them to do so.

scholarly journals A computational model of the cultural co-evolution of language and mindreading

2019 ◽  
Author(s):  
Marieke Woensdregt ◽  
Chris Cummins ◽  
Kenny Smith
Keyword(s):  
Social Cognition ◽  
Computational Model ◽  
Cultural Evolution ◽  
Mental Representations ◽  
Biological Evolution ◽  
Evolution Of Language ◽  
The Right ◽  
Context Simulation ◽  
Innate Ability ◽  
Do So

Several evolutionary accounts of human social cognition posit that language has co-evolved with the sophisticated mindreading abilities of modern humans. It has also been argued that these mindreading abilities are the product of cultural, rather than biological, evolution. Taken together, these claims suggest that the evolution of language has played an important role in the cultural evolution of human social cognition. Here we present a new computational model which formalises the assumptions that underlie this hypothesis, in order to explore how language and mindreading interact through cultural evolution. This model treats communicative behaviour as an interplay between the context in which communication occurs, an agent’s individual perspective on the world, and the agent’s lexicon. However, each agent’s perspective and lexicon are private mental representations, not directly observable to other agents. Learners are therefore confronted with the task of jointly inferring the lexicon and perspective of their cultural parent, based on their utterances in context. Simulation results show that given these assumptions, an informative lexicon evolves not just under a pressure to be successful at communicating, but also under a pressure for accurate perspective inference. When such a lexicon evolves, agents become better at inferring others’ perspectives; not because their innate ability to learn about perspectives changes, but because sharing a language (of the right type) with others helps them to do so.

The human brain: Chairman’s introduction

1981 ◽  
Vol 292 (1057) ◽  
pp. 151-153
Keyword(s):  
Human Brain ◽  
Cultural Evolution ◽  
Positive Feedback ◽  
Time Scale ◽  
Biological Evolution ◽  
Internal Models ◽  
Adaptive Behaviour ◽  
Myelin Sheaths ◽  
The Brain

Much has been said at the symposium about the pre-eminent role of the brain in the continuing emergence of man. Tobias has spoken of its explosive enlargement during the last 1 Ma, and how much of its enlargement in individual ontogeny is postnatal. We are born before our brains are fully grown and ‘wired up ’. During our long adolescence we build up internal models of the outside world and of the relations of parts of our bodies to it and to one another. Neurons that are present at birth spread their dendrites and project axons which acquire their myelin sheaths, and establish innumerable contacts with other neurons, over the years. New connections are formed; genetically endowed ones are stamped in or blanked off. People born without arms may grow up to use their toes in skills that are normally manual. Tobias, Darlington and others have stressed the enormous survival value of adaptive behaviour and the ‘positive feedback’ relation between biological and cultural evolution. The latter, the unique product of the unprecedentedly rapid biological evolution of big brains, advances on a time scale unknown to biological evolution.

Modeling Social Learning and Culture

2013 ◽  
Author(s):  
William Hoppitt ◽  
Kevin N. Laland
Keyword(s):  
Social Learning ◽  
Cultural Evolution ◽  
Cultural Transmission ◽  
Model Building ◽  
Biological Evolution ◽  
Reaction Diffusion ◽  
Agent Based ◽  
Mathematical Expressions ◽  
Mathematical Techniques ◽  
Neutral Models

This chapter describes a variety of approaches to modeling social learning, cultural evolution, and gene-culture coevolution. The model-building exercise typically starts with a set of assumptions about the key processes to be explored, along with the nature of their relations. These assumptions are then translated into the mathematical expressions that constitute the model. The operation of the model is then investigated, normally using a combination of analytical mathematical techniques and simulation, to determine relevant outcomes, such as the equilibrium states or patterns of change over time. The chapter presents examples of the modeling of cultural transmission and considers parallels between cultural and biological evolution. It then discusses theoretical approaches to social learning and cultural evolution, including population-genetic style models of cultural evolution and gene-culture coevolution, neutral models and random copying, social foraging theory, spatially explicit models, reaction-diffusion models, agent-based models, and phylogenetic models.

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