Interaction is a kind of action that occurs as two or more objects have an effect upon one another. The idea of a two-way effect is essential in the concept of interaction, as opposed to a one-way causal effect. Closely related terms are interactivity and interconnectivity, of which the latter deals with the interactions of interactions within systems: combinations of many simple interactions can lead to surprising emergent phenomena. Interaction has different tailored meanings in various sciences.
In physics, a fundamental interaction (depending on the nature of the interaction, it might also be called a fundamental force) is a process by which elementary particles interact with each other. An interaction is often described as a physical field, and is mediated by the exchange of gauge bosons between particles. For example, the interaction of charged particles takes place through the mediation of electromagnetic fields, whereas beta decay occurs by means of the weak interaction. An interaction is fundamental when it cannot be described in terms of other interactions. There are four known fundamental interactions in nature: The electromagnetic, strong, weak and gravitational interactions. The weak and electromagnetic interactions are unified in electroweak theory, which could in turn be unified with the strong force in a Grand Unified Theory and further with gravity in a theory of everything, but experimental results are yet to prove this.
Interactions between atoms and molecules:
Medicine and pharmacology
In medicine, most medications can be safely used with other medicines, but particular combinations of medicines need to be monitored for interactions, often by the pharmacist. Interactions between medications fall generally into one of two main categories:
- pharmacodynamic: Involving the actions of the two interacting drugs.
- pharmacokinetic: Involving the absorption, distribution, metabolism, and excretion of one or both of the interacting drugs upon the other.
In terms of efficacy, there can be three types of interactions between medications: additive, synergistic, and antagonistic.
- Additive interaction means the effect of two chemicals is equal to the sum of the effect of the two chemicals taken separately. This is usually due to the two chemicals acting on the body via same or similar mechanism. Examples are aspirin and motrin, alcohol and depressant, tranquilizer and painkiller.
- Synergistic interaction means that the effect of two chemicals taken together is greater than the sum of their separate effect at the same doses. An example is pesticide and fertilizer.
- Antagonistic interaction means that the effect of two chemicals is actually less than the sum of the effect of the two drugs taken independently of each other. This is because the second chemical increases the excretion of the first, or even directly blocks its toxic actions. Antagonism forms the basis for antidotes of poisonings.
Biology and genetics
Geneticists work with a number of different genetic interaction modes to characterize how the combination of two mutations affect (or does not affect) the phenotype: noninteractive, synthetic, asynthetic, suppressive, epistatic, conditional, additive, single-nonmonotonic and double-nonmonotonic. Further characterizations is enhancement interaction and nonadditive interaction. Biosemioticists investigate sign-mediated interactions within and between organisms that underlie syntactic, pragmatic and semantic rules.
The word epistasis is also used for genetic interaction in some contexts.
In sociology, social interaction is a dynamic, changing sequence of social actions between individuals (or groups) who modify their actions and reactions due to the actions by their interaction partner(s). Social interactions can be differentiated into accidental, repeated, regular, and regulated. Social interactions form the basis of social relations.
- Financial transaction
- Interaction design
- Interaction frequency
- Interface (communication studies)
- Becky L. Drees; Vesteinn Thorsson; Gregory W. Carter; Alexander W. Rives; Marisa Z. Raymond; Iliana Avila-Campillo; Paul Shannon; Timothy Galitski (2005). "Derivation of genetic interaction networks from quantitative phenotype data". Genome Biology. 6 (4): R38. doi:10.1186/gb-2005-6-4-r38. PMC 1088966. PMID 15833125.
- "CK12-Foundation". flexbooks.ck12.org. Retrieved 2021-04-26.
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