Next Issue
Previous Issue

E-Mail Alert

Add your e-mail address to receive forthcoming issues of this journal:

Journal Browser

Journal Browser

Table of Contents

Entropy, Volume 3, Issue 4 (November 2001), Pages 227-292

  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list.
  • You may sign up for e-mail alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Readerexternal link to open them.
View options order results:
result details:
Displaying articles 1-5
Export citation of selected articles as:

Research

Open AccessArticle Major Transitions in Language Evolution
Entropy 2001, 3(4), 227-246; doi:10.3390/e3040227
Received: 26 June 2001 / Accepted: 1 October 2001 / Published: 10 October 2001
Cited by 4 | PDF Full-text (153 KB)
Abstract
Language is the most important evolutionary invention of the last few million years. How human language evolved from animal communication is a challenging question for evolutionary biology. In this paper we use mathematical models to analyze the major transitions in language evolution. We
[...] Read more.
Language is the most important evolutionary invention of the last few million years. How human language evolved from animal communication is a challenging question for evolutionary biology. In this paper we use mathematical models to analyze the major transitions in language evolution. We begin by discussing the evolution of coordinated associations between signals and objects in a population. We then analyze word-formation and its relationship to Shannon's noisy coding theorem. Finally, we model the population dynamics of words and the adaptive emergence of syntax. Full article
Open AccessArticle Complex Intelligent Systems: Juxtaposition of Foundational Notions and a Research Agenda
Entropy 2001, 3(4), 247-258; doi:10.3390/e3040247
Received: 16 November 2000 / Accepted: 1 November 2001 / Published: 1 December 2001
PDF Full-text (74 KB) | HTML Full-text | XML Full-text
Abstract
The cardinality of the class, C , of complex intelligent systems, i.e., systems of intelligent systems and their resources, is steadily increasing. Such an increase, whether designed, sometimes changes significantly and fundamentally, the structure of C . Recently,the study of members of C
[...] Read more.
The cardinality of the class, C , of complex intelligent systems, i.e., systems of intelligent systems and their resources, is steadily increasing. Such an increase, whether designed, sometimes changes significantly and fundamentally, the structure of C . Recently,the study of members of C and its structure comes under a variety of multidisciplinary headings the most prominent of which include General Systems Theory, Complexity Science, Artificial Life, and Cybernetics. Their common characteristic is the quest for a unified theory of a certain class of systems like a living system or an organisation. So far, the only candidate for a general theory of intelligent systems is Newell's Soar. To my knowledge there is presently no candidate theory of C except Newell's claimed extensibility of Soar. This paper juxtaposes the elements of Newell's conceptual basis with those of an alternative conceptual framework based on the thesis that communication and understanding are the primary processes shaping the structure of C and its members. It is patently obvious that a research agenda for the study of C can be extremely varied and long. The third section of this paper presents a highly selective research agenda that aims to provoke discussion among complexity theory scientists. Full article
Figures

Figure 1

Open AccessArticle Empirical Evidence for a Law of Information Growth
Entropy 2001, 3(4), 259-272; doi:10.3390/e3040259
Received: 12 July 2001 / Accepted: 1 November 2001 / Published: 20 November 2001
Cited by 1 | PDF Full-text (111 KB) | HTML Full-text | XML Full-text
Abstract
Based on a robust, phenomenological model for the growth of a system parameter, a relation is derived to test the evolution of such a parameter through several distinct stages. It is found that data defining the acknowledged major changes in the evolution of
[...] Read more.
Based on a robust, phenomenological model for the growth of a system parameter, a relation is derived to test the evolution of such a parameter through several distinct stages. It is found that data defining the acknowledged major changes in the evolution of earth, the life on it, and cultural and technological growth, conform to this model. The nature of these altering events indicates that information is the parameter involved, suggesting an unrecognized behavior in the Second Law of Thermodynamics. Full article
Open AccessArticle Self-Organization of Template-Replicating Polymers and the Spontaneous Rise of Genetic Information
Entropy 2001, 3(4), 273-279; doi:10.3390/e3040273
Received: 8 October 2001 / Accepted: 14 November 2001 / Published: 20 November 2001
Cited by 13 | PDF Full-text (335 KB) | HTML Full-text | XML Full-text
Abstract
Living systems imply self-reproducing constructs capable of Darwinian evolution. How such dynamics can arise from undirected interactions between simple monomeric objects remains an open question. Here we circumvent difficulties related to the manipulation of chemical interactions, and present a system of ferromagnetic objects
[...] Read more.
Living systems imply self-reproducing constructs capable of Darwinian evolution. How such dynamics can arise from undirected interactions between simple monomeric objects remains an open question. Here we circumvent difficulties related to the manipulation of chemical interactions, and present a system of ferromagnetic objects that self-organize into template-replicating polymers due to environmental fluctuations in temperature. Initially random sequences of monomers direct the formation of complementary sequences, and structural information is inherited from one structure to another. Selective replication of sequences occurs in dynamic interaction with the environment, and the system demonstrates the fundamental link between thermodynamics, information theory, and life science in an unprecedented manner. Full article
Open AccessArticle A Possible Extension of Shannon's Information Theory
Entropy 2001, 3(4), 280-292; doi:10.3390/e3040280
Received: 7 August 2001 / Accepted: 21 October 2001 / Published: 21 November 2001
Cited by 10 | PDF Full-text (114 KB)
Abstract
As a possible generalization of Shannon's information theory, we review the formalism based on the non-logarithmic information content parametrized by a real number q, which exhibits nonadditivity of the associated uncertainty. Moreover it is shown that the establishment of the concept of
[...] Read more.
As a possible generalization of Shannon's information theory, we review the formalism based on the non-logarithmic information content parametrized by a real number q, which exhibits nonadditivity of the associated uncertainty. Moreover it is shown that the establishment of the concept of the mutual information is of importance upon the generalization. Full article

Journal Contact

MDPI AG
Entropy Editorial Office
St. Alban-Anlage 66, 4052 Basel, Switzerland
entropy@mdpi.com
Tel. +41 61 683 77 34
Fax: +41 61 302 89 18
Editorial Board
Contact Details Submit to Entropy
Back to Top