Abstract: An experimental study was conducted to clarify the impact of the source problem (present/absent) and of the emotional valence (positive/negative) on the way analogical target problems are solved. Analogical problems were represented by two types of PC games. Film clips were used to elicit emotions, whereas emotional changes were monitored by SAM scale. It was found that the presence of source problem increased the speed of solving a target problem and led to analogical problem solving even though a non-analogical solution could also be conducted. Negative valence (feeling sad) facilitates analogical problem solving, whereas positive valence (feeling amused) alleviates non-analogical problem solving. Different emotional valence has no impact either on the length of the time needed for problem solving, or on the success.Ke y wo rd s : a na lo gy, pr ob lem so lv in g, e mo ti on s, e xp er im en tVPLYV EMOCIONALNEJ VALENICIE A ROZNYCH PODMIENOK ZDROJOVEHO PROBLEMU NA SPOSOB RIESENIA ANALOGICKÝCH CIELOVÝCH PROBLEMOVK. I z s o f J u r a s o v a, A. B i e l a , M. S p a j d e lSuh rn: Cielom realizovaneho experimentalneho výskumneho planu bolo objasnenie vplyvu zdrojoveho problemu (pritomný/nepritomný) a emocionalnej valencie (pozitivna/negativna ) na sposob riesenia analogick ých cielových problemov. Analogicke problemy boli modelovane dvomi pocitacovými hrami. Prislu sne emocie boli evokovane filmovými uryvkami, kým zmeny emocii boli zachyt ene pomocou sk aly SAM. Zistilo sa, ze pritomnost zdrojoveho probl emu u rýchli riesenie cieloveho problemu a vedie k analogickemu rieseniu napriek tomu , ze i neana logick e riesenie by bolo efek tivne. Negativna emocionalna Valencia (smutok ) vedie k a na logick emu rieseniu analogick ých problemov, kým pozitivna emocionalna Valencia (pobavenie sa) facilitu je neanalogick e riesenie ana logických problemov. Zmeny v emocionalnej valencii sa neodrazia v rýchlosti a a ni uspesnosti riesenia a na logickeho cieloveho problemu.Solving analogical problems is a frequently occurring task, for example, when driving a car, shopping, cooking, etc. We intuitively know that those tasks we have faced in the past or experienced their solution in another way are solved faster and easier. It is also highly possible that the process of solving analogical problems may be influenced by emotional states, as is the case in other cog- nitive actions as attention, memory, decision making, etc. Negative and positive emotions in general have different effect on cognition as they influence the comprehension of the present situation.Analogical inference is the process when one comes to a conclusion about a new situation through already acquired knowl- edge of very similar - analogical - situations. The first step in analogical inference is the identification of an analogy between a situa- tion concerning an object, problem, domain, etc. in the past (source) and an unknown situation, object, problem, domain, etc. (tar- get). An analogy can be stated only if the same relationship exists within the compo- nents of one object and within the compo- nents of another object. Similarity of compo- nents without similarity of their relations is not a valid criterion for an analogical con- nection (Biela, 1991, 1993). In his theory of structure-mapping Gentner (1983) high- lighted structural similarity as the most im- portant precondition of analogical relation- ship. It was demonstrated, however, that superficial similarity also plays a role in anal- ogy detection - mainly in a retrieval of source domain (Blanchette, Dumbar, 2000).Analogical inference is frequently used in a process of problem solving. Although it is a process of deriving logical conclusions, solving problems through it can be referred to only as a heuristic strategy because it does not guarantee the final, strict and effective solution (Bacova, 2011; Matlin, 1998). Ana- logical problem solving has the following main stages (Thagard, 2005; Dahl, Moreaue, 2002; Keane, Ledgeway, Duff, 1994):1) Mental representation of the source problem2) Retrieval of an already solved target problem from memory3) Mapping and comparing the structure of the source and target problems4) Transferring the solution from the source to the target problem based on structural simi- larity. …
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