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The Emergence of Communication through Synthetic Evolution (1999) [6 citations — 2 self]

by Bruce J. Maclennan
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Abstract:

This article describes a series of experiments to study the emergence of inherently meaningful communication by synthetic evolution in a population of artificial agents. By "inherently meaningful" we mean that the communication is meaningful and relevant to the agents themselves, independent and regardless of any meanings we (as observers) may attribute to the communications. (We discuss elsewhere [7, 13] the relevance to the study of intrinsic intensionality of these experimental techniques, which we call synthetic ethology.) Briefly, we may say that communication is inherently meaningful if it has some actual or potential relevance to the agents.

Citations

110 The synthetic modeling of language origins – Steels - 1997
94 Synthetic ethology: An approach to the study of communication – MacLennan - 1992
70 Syntax without natural selection: how compositionality emerges from vocabulary in a population of learners – Kirby - 2000
58 Synthetic ethology and the evolution of cooperative communication – MacLennan, Burghardt - 1993
45 Constructing and Sharing Perceptual Distinctions – Steels - 1997
23 Evolution of Communication in a Population of Simple Machines – MacLennan - 1990
23 On simulating the evolution of communication – Noble, Cliff - 1996
21 Defining ‘communication – Burghardt - 1970
19 Language evolution without natural selection: From vocabulary to syntax in a population of learners – Kirby - 1998
19 Continuous Symbol Systems: The Logic of Connectionism – MacLennan - 1994
18 Characteristics of connectionist knowledge representation – MacLennan - 1991
13 Continuous Formal Systems: A Unifying Model in Language and Cognition – MacLennan - 1995
12 Field computation in motor control – MacLennan - 1997
11 bottlenecks and evolution of recursive syntax – Learning - 2002
10 Image and symbol: Continuous computation and the emergence of the discrete – Maclennan - 1994
4 Evolution of two symbol signals by simulated organisms – Crumpton - 1994
4 Neural network models of cognitive processes – MacLennan, Jerke, et al. - 1990
3 Synthetic ethology: A new tool for investigating animal cognition – MacLennan - 2002