- Mathematics, Differential Logic, Inquiry Driven Systems, Logical Graphs, Combinatorics, Negative Dialectics, and 244 moreHistory of Ideas, Information Visualisation, Belief Revision, Philosophy of Education, Presocratics, Discovery, Information Systems, Questions, Semantics, Formal Semantics, Applied Pragmatic Theory, Symbolic Computation, Shakespeare, Knowledge Workers, Instructional Design, Computational Intelligence, Technology Enhanced Learning, Computational Thinking, Plato, Heraclitus, Parmenides, Epistemology, Mathematical Inquiry, Software Engineering, University Design, Learning Organization, Design Theory, History of Logic, Interdisciplinary Higher Education, Transitional Space, Native American Studies, Icon, Index, Symbol, Information Visualization, René Descartes, Qualitative Methods, Qualitative Research Methods, Qualitative Research, Research Methodology, Play, Creativity, Creative Problem Solving, Problem Solving, Planning, Anticipation, Information & Communication Technology, Education Policy, Organisational Development, Organizational Development, Human Computer Interaction, Neural Network, Neural Networks, Unsupervised Learning Techniques, Grammar Induction, Charles Peirce, Sociology of Education, Integrative Studies, Eudaimonia, Attachment Theory, Object Relations Theory, Object Relations (Psychology), Object Relations, Uncertainty, Risk and Vulnerability, Reflection, Reflective Practice, Reflective Thinking, American Pragmatism, Scientific Realism, Formal Semiotic, Critical Thinking, Deductive Inference, Logic Programming, Decision Making Under Uncertainty, Uncertainty Quantification, Discrete Calculus, Discrete Differential Forms, Declarative Programming, Educational Systems Design, Computational Learning Theory, Induction (Philosophy), Abstraction, Inductive Reasoning, Inductive Inference, Explanation, Inference to the Best Explanation, Research Paradigm, Paradigm Shifts, Complexity Theory, Symbolic Connectionist Integration, Information Architecture, Information Design, Computer Science, Synthetic Inference, Rational Empirical Integration, Syllogistic Reasoning, Information Space, State Space Models, Scientific Reasoning, Knowledge Representation, Applied Learning Technology, Induction, Deduction, George Spencer Brown, Functional Programming, Abduction, Deduction, Induction, Abduction, Peirce, Existential Graphs, Concept Driven Systems, Data Driven Systems, Adaptive Systems, Machine Learning, Propositional Calculus, Multi-Level Formal Languages, Sequential Learning, Information Theory, Sequential Data Analysis, Exploratory Data Analysis, Automated Research Tools, Knowledge Structures, Discrete Mathematics, Adaptive Information Presentation, Visual Semiotics, Visualization, Diagrammatic Reasoning, Diagrammatic Logic, Inference, Self-Knowledge, Self-Reference, Reflexivity, Reflection, Reflexivity, Mixed Methods Research, Sociotechnical Systems, Integral Theory, Interdisciplinarity, Transdisciplinarity, Transformative Learning, Curriculum Design, Scientific Representation, Scientific Models, Descartes, Computational Creativity, History of Science, Aristotle, Leibniz (Philosophy), Gottfried Wilhelm Leibniz, James Joyce, Belief Revision (Computer Science), Organisational Change, Organizational Change, Models of Inquiry, Higher Education, Intelligent Systems Engineering, Integrative Universities, Pragmatic Theory of Inquiry, Pragmatic Theory of Signs, Learning Sciences, Automated Reasoning (Computer Science), Computational Logic, Laws of Form, Second-Order Cybernetics, Cybernetics, Differential Geometry, Systems Thinking, Sociology of Knowledge, Intentionality, Interpretation, Pragmatism (Philosophy), John Dewey, Abductive Inference, Cognitive Architectures, Human Sciences, Inquiry Based Learning, Transformation of University Systems, Organization Studies, Organizational Theory, Organizational Culture, Mental Models (Philosophy), Two Cultures, Information Communication Technology, Mental Models (Psychology), Scientific Method, Educational Technology, Abductive Reasoning, Pragmatics, Intelligent Systems, Intelligent Research Systems, Architecture for Inquiry, Francisco Varela, Number Theory, Philosophy of Science, Geometry of Logic, Mathematical Logic, Category Theory, Group Theory, Control Theory, Artificial Intelligence, American Philosophy, Charles S Peirce, Logic And Foundations Of Mathematics, Hermeneutics, Semiotics, Dynamical Systems, Peirce Pragmaticist Semiotics, Peircean Semiotics, Charles S. Peirce, Algorithmic Algebra, Automata Theory (Formal Languages), Graph Theory, Logic, Systems Theory, Semeiotics, Pragmatism, Inquiry, Charles Sanders Peirce, Lambda Calculus, Lambda Calculus and Combinatory Logic, Type Theory, Proof Theory, Philosophy of Logic, Process Philosophy (Peirce, Whitehead), Cognitive Psychology, Constraint Satisfaction Problems, Computational Complexity, Peirce, Charles S., Programming, Ampliative Inferences, Scientific Discovery, Logical Diagrams, Paradoxes, Artificial Neural Networks, Turbo Pascal, Learning, Reasoning, Logic of Inquiry, C. S. Peirce, Constraint Programming, Model Theory, Prime Numbers, Knowledge Representation and Reasoning, Data Structures, John Deely, Symbol-Matter Problem, Interaction Design, and Affective Computingedit
We hope you will find these thoughts of ours both interesting and useful." These are words spoken to express an intention, a bearing in the mind of a person toward an object which is yet to be achieved. The readiest moment of human life... more
We hope you will find these thoughts of ours both interesting and useful." These are words spoken to express an intention, a bearing in the mind of a person toward an object which is yet to be achieved. The readiest moment of human life involves the interplay of signs, ideas, and objects-more explicitly, the interrelation of signifying expressions, states and dispositions of the mind or person, and objects or objectives either actual or potential. Our work designing instruments to enhance the play of inquiry has attuned us to the themes of interpretation and intentionality which every inquiry seems to involve. We hear what sounds like familiar strains reaching us from the hermeneutic quarter. The purpose of this essay is to trace to their sources a few of these potentially common themes, to draw out one line of their historical development, and to gather what consequences they inspire for educational practice and continued inquiry.
Research Interests: Semiotics, Pragmatism, Education, Educational Technology, Aristotle, and 15 moreInquiry Based Learning, Critical Thinking, Hermeneutics, Charles S. Peirce, John Dewey, Charles Sanders Peirce, Inquiry, Educational Systems Design, Inquiry Driven Systems, Abductive Reasoning, Abduction, Deduction, Induction, Automated Research Tools, C.S. Peirce, Logic of Inquiry, and Hypothesis Formation
Today’s society looks to universities for solutions to broad-based issues that require cross-disciplinary expertise. Yet, the organizational structure of our institutions remains locked in academic and administrative silos that have... more
Today’s society looks to universities for solutions to broad-based issues that require cross-disciplinary expertise. Yet, the organizational structure of our institutions remains locked in academic and administrative silos that have little genuine ability to communicate or to recognize the interdependence of knowledge. Why does the capacity to communicate between disciplines and units remain limited? How do formalizations of our experience create barriers? What kind of reflection would it take to subject our mental models of knowledge and learning to critical inquiry? This discussion highlights one of the most entrenched ‘group identity myths’ that underlie the structure of modern academic institutions, the ‘triviality of integration’ thesis.
Research Interests: Semiotics, Sociology of Education, Organizational Theory, Educational Leadership, Organizational Change, and 39 moreAristotle, Educational Administration, Organizational Learning, Interdisciplinarity, Innovation statistics, Higher Education, Organizational Culture, Sociology of Knowledge, Integral Theory, Organisational Change, Transdisciplinarity, Institutional Change, Transformation of University Systems, Integrative Learning, Organisational Development, Education Policy, Organizational Leadership, René Descartes, Organizational Innovativeness, Charles S. Peirce, Sociology of Science, Interdisciplinary Higher Education, Mental Models (Psychology), University Design, Interdisciplinary Studies, Charles Sanders Peirce, Mental Models (Philosophy), Descartes, Integral Studies, Organizational Development, Learning Organization, Inquiry, Two Cultures, Semeiotics, Integrative Universities, Scholarship of Integration, Pragmatic Theory of Signs, Pragmatic Theory of Inquiry, and Integrative Studies
“We hope you will find these thoughts of ours both interesting and useful.” These are words spoken to express an intention, a bearing in the mind of a person toward an object which is yet to be achieved. The readiest moment of human life... more
“We hope you will find these thoughts of ours both interesting and useful.” These are words spoken to express an intention, a bearing in the mind of a person toward an object which is yet to be achieved. The readiest moment of human life involves the interplay of signs, ideas, and objects — more explicitly, the interrelation of signifying expressions, states and dispositions of the mind or person, and objects or objectives either actual or potential. Our work designing instruments to enhance the play of inquiry has attuned us to the themes of interpretation and intentionality which every inquiry seems to involve. We hear what sounds like familiar strains reaching us from the hermeneutic quarter. The purpose of this essay is to trace to their sources a few of these potentially common themes, to draw out one line of their historical development, and to gather what consequences they inspire for educational practice and continued inquiry.
Research Interests: Semiotics, Pragmatism, Education, Educational Technology, Reflective Practice, and 35 moreAristotle, Play, Inquiry Based Learning, Creative Problem Solving, Critical Thinking, Hermeneutics, Inductive Reasoning, Risk and Vulnerability, Risk, Intentionality, Charles S. Peirce, John Dewey, Explanation, Decision Making Under Uncertainty, Interpretation, Reflection, Charles Sanders Peirce, Planning, Problem Solving, Uncertainty, Reflective Thinking, Inquiry, Human Sciences, Inductive Inference, Abductive Inference, Educational Systems Design, Semeiotics, Differential Logic, Inquiry Driven Systems, Abductive Reasoning, Abduction, Deduction, Induction, Pragmatic Theory of Signs, Pragmatic Theory of Inquiry, Deductive Inference, and Formal Semiotic
More and more we hear the complaint that the gap between research and instruction is widening and a vital sense of motivation is falling between the cracks. It is our vision that intelligent computing systems will become a partner in the... more
More and more we hear the complaint that the gap between research and instruction is widening and a vital sense of motivation is falling between the cracks. It is our vision that intelligent computing systems will become a partner in the reintegration of discovery and learning within the inquiry process. We will address certain issues that must be faced if computer media are to have the characteristics necessary to support this integration. The development of the computer to date has required a careful attention to the syntax and semantics of the rather limited symbol systems we have induced them to use. A capacity for communicating in multiple modalities with non-uniform communities of symbol users — for sharing in the discovery of a pluralistic universe — will demand a quantum leap in our understanding of the pragmatic dimensions of symbol use. In the future the capacity for inquiry must permeate the living architecture of the computer system. A computer program that begins to embody these ideas will be discussed.
Research Interests: Computer Science, Software Engineering, Artificial Intelligence, Educational Technology, Cognitive Architectures, and 22 morePragmatics, Inquiry Based Learning, Software Architecture, Intelligent Systems, Charles S. Peirce, Mental Models (Psychology), Charles Sanders Peirce, Mental Models (Philosophy), Inquiry, Educational Systems Design, Scientific Method, Knowledge Representation and Reasoning, Semeiotics, Inquiry Driven Systems, Abductive Reasoning, Intelligent Research Systems, Architecture for Inquiry, Abduction, Deduction, Induction, Pragmatic Theory of Signs, Pragmatic Theory of Inquiry, Intelligent Systems Engineering, and Models of Inquiry
If computer programs were smarter, they would, like people, recognize sequences of events, form models of their environment, and formulate rules based on experience. This paper describes the development of a program designed to address... more
If computer programs were smarter, they would, like people, recognize sequences of events, form models of their environment, and formulate rules based on experience. This paper describes the development of a program designed to address the difficult computational problems involved in integrating the inductive and deductive reasoning necessary to perform such tasks. “Theme One” is a prototype program composed of “Index”, a learning algorithm for sequential data, and “Study”, an algorithm for building logical models. The project goal is an interactive research tool that assists students and investigators in the exploration of qualitative data using artificial intelligence.
Research Interests: Semiotics, Computer Science, Artificial Intelligence, Logic, Information Theory, and 46 moreMachine Learning, Aristotle, Graph Theory, Inquiry Based Learning, Peirce, Knowledge Structures, Research Paradigm, Intelligent Systems, Charles S. Peirce, Scientific Reasoning, Knowledge Representation, Charles Sanders Peirce, Deduction, Sequential Learning, Abduction, Laws of Form, Artificial Neural Networks, Adaptive Systems, Existential Graphs, Induction, Interactivity, Inquiry, Paradigm Shifts, Information Space, State Space Models, Scientific Method, Knowledge Representation and Reasoning, George Spencer Brown, Semeiotics, Logical Graphs, Inquiry Driven Systems, Abduction, Deduction, Induction, Pragmatic Theory of Signs, Pragmatic Theory of Inquiry, Exploratory Data Analysis, Automated Research Tools, Sequential Data Analysis, Multi-Level Formal Languages, Propositional Calculus, Data Driven Systems, Concept Driven Systems, Applied Learning Technology, Syllogistic Reasoning, Rational Empirical Integration, Synthetic Inference, and Symbolic Connectionist Integration
Today, society is everywhere pressing for answers to the large, human problems it faces, such as poverty, hunger, and a sustainable environment. As part of this quest for solutions the university has come under scrutiny and duress to... more
Today, society is everywhere pressing for answers to the large, human problems it faces, such as poverty, hunger, and a sustainable environment. As part of this quest for solutions the university has come under scrutiny and duress to apply its knowledge more directly to the needs of the world it inhabits. Mary Walshok (1995) writes of the importance of “knowledge without boundaries”. Donald Schön (1994) and Nicholas Maxwell (1984) implore us to focus on solutions to the large “civilizing problems” of life — to develop the wisdom that will lead to a “better and wiser world” (Maxwell, 1984, 3). Achieving such wisdom will call for an understanding of the interrelationships of knowledge that will allow problems to be reframed and solutions to coalesce in new ways. Beyond translating discoveries into action in the service of society, the university is also being asked to prepare the next generation of citizens with the skills and abilities that are needed to face the challenges of the new world in which they will live — skills such as the ability to construct meaning from knowledge, to recognize connections and interrelationships, to reach beyond what is known through experimentation and inquiry, and to achieve mutual goals through collaboration (Reich, 1991).
More and more we hear the complaint that the gap between research and instruction is widening and a vital sense of motivation is falling between the cracks. It is our vision that intelligent computing systems will become a partner in the... more
More and more we hear the complaint that the gap between research and instruction is widening and a vital sense of motivation is falling between the cracks. It is our vision that intelligent computing systems will become a partner in the reintegration of discovery and learning within the inquiry process. We will address certain issues that must be faced if computer media are to have the characteristics necessary to support this integration. The development of the computer to date has required a careful attention to the syntax and semantics of the rather limited symbol systems we have induced them to use. A capacity for communicating in multiple modalities with non-uniform communities of symbol users — for sharing in the discovery of a pluralistic universe — will demand a quantum leap in our understanding of the pragmatic dimensions of symbol use. In the future the capacity for inquiry must permeate the living architecture of the computer system. A computer program that begins to embody these ideas will be discussed.
Research Interests: Semiotics, Computer Science, Artificial Intelligence, Educational Technology, Cognitive Architectures, and 21 moreResearch Methodology, Inquiry Based Learning, Charles S. Peirce, Knowledge Representation, Mental Models (Psychology), Intelligent Tutoring Systems, Charles Sanders Peirce, Mental Models (Philosophy), C. S. Peirce, Educational Systems Design, Scientific Method, Knowledge Representation and Reasoning, Semeiotics, Inquiry Driven Systems, Abductive Reasoning, Intelligent Research Systems, Architecture for Inquiry, Pragmatic Theory of Signs, Pragmatic Theory of Inquiry, Models of Inquiry, and Logic of Inquiry
Research Interests:
Theme One is a computer program with a dual objective — to perform tasks of inductive and deductive problem-solving that arise in research and to explore the integration of these reasoning types in human and computer information processing.
Research Interests: Semiotics, Model Theory, Computer Science, Automata Theory (Formal Languages), Artificial Intelligence, and 28 moreLogic, Machine Learning, Logic Programming, Peirce, Intelligent Systems, Charles S. Peirce, Constraint Programming, Knowledge Representation, Charles Sanders Peirce, Peircean Semiotics, Learning, Programming, C. S. Peirce, Reasoning, Constraint Satisfaction Problems, Formal languages, Inquiry, Learning Theory, Knowledge Representation and Reasoning, Logical Graphs, Differential Logic, Inquiry Driven Systems, Abduction, Deduction, Induction, Multi-Level Formal Languages, Propositional Calculus, Rational Empirical Integration, Turbo Pascal, and Logic of Inquiry
Research Interests:
This report discusses C.S. Peirce's treatment of analogy, placing it in relation to his overall theory of inquiry. We begin by introducing three basic types of reasoning Peirce adopted from classical logic. In Peirce's analysis both... more
This report discusses C.S. Peirce's treatment of analogy, placing it in relation to his overall theory of inquiry. We begin by introducing three basic types of reasoning Peirce adopted from classical logic. In Peirce's analysis both inquiry and analogy are complex programs of logical inference which develop through stages of these three types, although normally in different orders. Note on notation. The discussion to follow uses logical conjunctions, expressed in the form of concatenated tuples and minimal negation operations, expressed in the form of bracketed tuples as the principal expression-forming operations of a calculus for boolean-valued functions, that is, for propositions. The expressions of this calculus parse into data structures whose underlying graphs are called cacti by graph theorists. Hence the name cactus language for this dialect of propositional calculus.