10.18710/BNZRRU Moisl, Hermann Hermann Moisl https://orcid.org/0000-0002-5911-0373 Newcastle University DataverseNO 2025 Computer and Information Science Intentionality sentence meaning neural dynamical system artificial neural network modelling computational theory of language Moisl, Hermann Hermann Moisl The Tromsø Repository of Language and Linguistics (TROLLing) The Tromsø Repository of Language and Linguistics (TROLLing) Moisl, Hermann Hermann Moisl Newcastle University 2022 2025-04-22 2025-09-29 Machine-readable text 10.1007/S11023-022-09590-1 10.18710/BNZRRU/9EC8XR 10.18710/BNZRRU/7UR7JT 10.18710/BNZRRU/EIT7WR 10.18710/BNZRRU/FEGO0K 10.18710/BNZRRU/TN2MTC 10.18710/BNZRRU/JZWSSZ 10.18710/BNZRRU/AESZAT 10.18710/BNZRRU/FLGGFV 10.18710/BNZRRU/ICJ42F 10.18710/BNZRRU/4NNJAY 10.18710/BNZRRU/DPHAN2 10.18710/BNZRRU/MMN105 10.18710/BNZRRU/02N66Z 10.18710/BNZRRU/HAW1CD 10.18710/BNZRRU/IPIJ9D 10.18710/BNZRRU/RSU4Y0 10.18710/BNZRRU/3SMNLY 10.18710/BNZRRU/6CKKNJ 10.18710/BNZRRU/DRZFF4 10.18710/BNZRRU/RWGDW1 10.18710/BNZRRU/CAJBPI 10.18710/BNZRRU/TYMX6R 15401 22865 149 1732 15621 208 7515 228 210 17395 12863 8215 125 82 13302 62446 62987 68500 70286 67078 56982 15739 text/plain text/plain text/plain text/plain text/plain text/plain text/plain text/plain text/plain text/plain text/plain text/plain text/plain text/plain text/plain image/png image/png image/png image/png image/png image/png text/plain 1.0 Creative Commons CC0 1.0 Universal Public Domain Dedication. <p>The submitted data relate to sections 2.3 and 2.4 of: H. Moisl (2022) Dynamical systems implementation of intrinsic sentence meaning, Minds and Machines 32 (2022), which describe the processing architecture of the model of intrinsic sentence meaning proposed there. Six separate programs are used to generate the results presented in the article, whose interrelationships are described in the above-cited sections.</p> <p>The paper with which the data are associated proposes a model for implementation of intrinsic natural language sentence meaning in a physical language understanding system, where 'intrinsic' is understood as 'independent of meaning ascription by system-external observers'. The proposal is that intrinsic meaning can be implemented as a point attractor in the state space of a nonlinear dynamical system with feedback which is generated by temporally sequenced inputs. It is motivated by John Searle's well known (1980) critique of the then-standard and currently still influential Computational Theory of Mind (CTM), the essence of which was that CTM representations lack intrinsic meaning because that meaning is dependent on ascription by an observer. The proposed dynamical model comprises a collection of interacting artificial neural networks, and constitutes a radical simplification of the principle of compositional phrase structure which is at the heart of the current standard view of sentence semantics because it is computationally interpretable as a finite state machine.</p> Matlab, R2020a Newcastle upon Tyne, UK