1. Classical epistemologic model
2. Dretske's informational model
3. Floridi's semantic model
4. Systemic model of the UTI
5. Conductual model
6. Knowledge and near concepts
Throughout the history of thought countless words have been written concerning what knowledge is. There are innumerous proposals, from different philosophical precepts, that have attempted to answer this question. In this sense, if we review the literature on Cognitive Science and epistemology, we can figure out that there are several theoretical models that can meet the goal of offering an adequete definition of knowledge.
The first of these benefits is found in the fact that this definition allows us to explain the possibility of transmission of knowledge: when a speaker K knows that s is F and, among other things, ii sincerely asserts that s is F, the listeners will come to know that s is F from what the speaker says (respecting the principle of the introduced copy in the previous section). This communicative fact is met, according to Drestkian definition of knowledge, if K knows that s is F from the information that s is F, and if the transmission of this information is done with an ambiguity equal to 0.
According to Floridi´s semantic approach (2005a, 2005b), knowledge is constituted in terms of justifiable semantic information, i.e. information constitutes the elements for further inquiry. At the same time, information is the result of a data modelling process. But unlike Dretske’s naturalistic assumption, this data modelling does not necessarily represent the intrinsic nature of the studied system, or it must not be directly related to the system by means of a causal chain; instead, it will depend on the processing of data by knowledge. In turn, data are conceived as the resources and restrictions allowing the construction of information. Therefore, it can be stated that Floridi proposes an architectural relationship between knowledge, information and data, being knowledge on the summit and data on the base. At the same time and as a result of such interrelationship, he replaces Dretske’s requirement of truth of (which is also subscribed by the situation theory) by a requirement of truthfulness, i.e. instead of searching for a correspondence between the statement and what the information is about, the attention is rather paid in the correspondence between what is reported and the informer.
4. Systemic model of the Unified Theory of Information (UTI)
From a detailed approach to system theory considering different self-organization levels (from self-restructuring to self-re-creation), knowledge is constituted in the →UTI by means of interpreting data (or meaning assignment) and is the basis for decision-making, which shapes “practical wisdom” (Hofkirchner 1999).
UTI refers to different levels of information rather than dependency relationships, i.e. information is gradually processed: first, at the syntactic or structural level there is data, then at the semantic or state level there is knowledge, and, finally, at the pragmatic or behavioural level there is practical wisdom. The information processing is performed by means of interrelationship and reciprocal action between adjacent strata and not in terms of a casual progression (as in Dretske’s naturalism). In other terms, between micro- and macro-leves there are upwards- and down-wards causations (regarded as information processes) cooperating in the self-organizing processes.
5. Conductual model
6. Knowledge and near concepts
a) Knowledge vs. information
From most points of view regarding information and knowledge, there are close relationships between these two concepts, especially as far as the common use of both terms is concerned. Usually, information occupies a lower position than knowledge, and the former –so to speak- ‘nourish’ the latter. However, this connection is disregarded in cases of a radical syntactic approach, in which the relationship question is avoided just addressing to the technical dimension (as in the MTC), or in a radical pragmatic approach in which only what-is-being-done is posed, that is, information is considered as a mere instrument of the action and, therefore, the problem of whether the information refers to states of affairs is ignored (either dealing with a correct apprehension or knowing that p is the case).Although there have been throughout the history of thought countless approaches to knowledge concerning its definition, possibility, basis and modes, two fundamental models have prevailed: 1) the iconic model, according to which knowledge is an accurate picture (of mental nature) of the object of knowledge, and 2) the propositional model, whereby knowledge is a truthful proposition. In the iconic model, where perception and apprehension play a key role, the main problems lie in both the specification of the limits between object and subject, and the explanation of non-iconic knowledge (such as logical, mathematical and logical “truths”). However, in the propositional model, where scientific statements play an exemplary role, the unavoidable circle of the justification of knowledge becomes problematic (→Gödel´s incompleteness theorem). Nevertheless, whatever the model of representation, knowledge is distinguished from a true opinion, insofar as only the former knows how to justify itself (though its justification might be partial or problematic).
According to the above, the relationship between information and knowledge must evidently appear in all those informational approaches considering the semantic dimension, usually adopting a more analytic notion with respect to information, and a more synthetic one with respect to knowledge. Furthermore, a closer proximity to the object is used in information concerns, and to the subject in knowledge concerns.
For Dretske -as mentioned above-, "Knowledge is information-produced belief" (Dretske 1981, 91-92) and belief always relates to "a receiver's background knowledge" (pp. 80-81). From a naturalistic perspective, in which there is a casual dependence between the external conditions of a living being and and its internal states, information for Dretske creates experience (sensorial representations) and originates beliefs (cognitive experiences), which underlie the sedimentation of knowledge.
b) Knowledge and mental states
We can agree, leaving aside the existing alternative definitions, that knowledge must be identified with a special kind of mental states (neuronal arrangements), presenting a set of particular characteristics, which an individual possesses. On the one hand, they are mental states achieved by the individual from a process of information assimilation or metabolism. This characteristic helps to distinguish those mental states of the subject corresponding to knowledge from those corresponding to mere beliefs, which do not reach the necessary epistemic level to be identified as knowledge.
In this sense, the semantic content of those mental states coincides with this assimilated information. And the mental states, conversely, act as a guide for actions and conduct of that individual; in other words, they control the decisions made by the subject.
We can reflect this characterization in the following synthetic expresion: Knowledge = the mental states of an individual constructed from the assimilation of information, which steer the actions performed by the subject.
c) Knowledge vs. experience, truth, belief and values
Nonetheless, it is not sufficient to provide a definition of knowledge and explain it with a couple of examples to have a better understaning of it. It is also necessary to deal with a number of related and interrelated concepts.
We should neither forget the concept of truth. As it has been defended since Classical Greece, knowledge (or at least a special type of knowledge, as we wil see) implies truth: if A (an individual) knows P, then it is true that P. If anyone knows that the water molecule consists of two hydrogen and one oxygen atoms, then it is true that this molecule presents the arrangement of atoms. And it is knowledge and its arising actions that have to be in tune with what really happens. Reality deals with refining and improving knowledge, rejecting and cleaning our heads from this supposed knowledge (pseudo-knowledge) that does not work and is not attuned.
How to cite this article:
Pérez-Montoro Gutiérrez, Mario (ed.), Díaz Nafría, José María; Gejman, Roberto y Golkhosravi, Mehrad (2010). “Knowledge”. Díaz Nafría, José María; Pérez-Montoro, Mario y Salto Alemany, Francisco (eds.) (2010). Glossary of concepts, metaphors, theories and problems concerning information. Leon: Universidad de León.
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J.M. Díaz Nafría (20/07/2009)
[This entry is also provided in the spanish version]
From the most viewpoints regarding information and knowledge, the relationships between these two concepts are close, especially as far as the common use of both terms is concerned. As a rule, the position of information is lower than that of knowledge, with information somehow ‘nourishing’ knowledge. Nevertheless, this connection is ignored in cases of a syntactic radical vision, where the problem of the relationship is avoided to address only its technical dimension (as in the →MTC) from a radical pragmatic point of view in which only what-is-being-done is called into question, so that the information is considered as a mere instrument of the action and, therefore, the problem of whether the information refers to objects (be it in terms of whether we are dealing with a correct perception or if it is known that p be the case) is ignored.
Although conceptions of knowledge are and have been very different, such as for the opinions regarding its definition, possibility, basis or its modes, we can say that two fundamental models have prevailed: the iconic one, according to which knowledge is an accurate picture (of mental nature) of the object of knowledge, and the propositional model, whereby knowledge is a real proposition. The problems of the iconic model, where perception and apprehension play a key role, lies in the specification of the limits between object and subject, as well as in the explanation of non-iconic knowledge (such as logical, mathematical and relational “truths”). However, in the propositional model, where the scientific statement plays an exemplary role, the inevitable circle, which comprises the justification of knowledge, becomes problematic (→Gödel´s incompleteness theorem). But, whatever the model of representation, there would be a difference between knowledge and a true opinion, insofar as only that one knows how to justify himself (although its justification is only partial or problematic).
According to what is said, it is clear that in all those ideas on information in which semantic dimension is considered, its link with knowledge must appear. Normally, a more analytic concept for information is adopted and a more synthetic one for knowledge, as well as a bigger proximity to the object on the part of the information and to the subject on the part of knowledge.
For Dretske “knowledge is belief produced by information”, and belief always relates to a background of knowledge. From a natura-listic perspective, in which a casual depen-dence occurs among the internal states of a living being and external conditions, information for Dretske creates experience (sensory representations) and causes beliefs (cognitive experiences), which underlie the sedimentation of knowledge.
According to Floridi´s semantic approach, knowledge is constituted in terms of justifiable semantic information, i.e. information constitutes the elements for further inquiry. In its turn, information is the result of a data modelling process, which –unlike the Dretske’s naturalistic assumption– does not necessarily represent the intrinsic nature of the studied system (or is not necessarily directly linked to it by a causal chain), instead, it will depend on the development of the data by knowledge. In turn, the data are conceived as resources and restrictions that allow for the construction of information. Therefore, one can say that Floridi proposes an architectural relationship between knowledge, information and data, where the first one is situated on the summit and the data on the base. At the same time, and as a result of this interrelationship, he replaces the requirement of truth of Dretske (who also endorses the situational semantic theory) by a requirement of truthfulness, so that instead of searching for a correspondence between the statement and the content of the information, a correspondence is rather being sought between what is reported and the informant.
In the →UTI, knowledge is constituted by means of interpreting the data (or assigning meaning), which, in turn, is the basis for decision-making that makes up “practical wisdom”. In this case, we are talking about different levels of information rather than a dependency relationship, so that information is gradually processed: first, at the syntactic or structural level, then at the semantic or state level, and, finally, at the pragmatic or behavioural level. The information processing is performed by means of interrelationship between the adjacent strata and not in terms of a casual progression (as in Dretske’s naturalism).
Gejman, R; Pérez-Montoro, M.
[Initially written in Spanish, thus entered in the Spanish pago