(a) How do heuristic and algorithm differ as problem-solving strategies? Illustrate the role of mental set in reasoning with the…

(a) Heuristics, algorithms and mental set

An algorithm is a systematic, step-by-step procedure that, if followed correctly, guarantees a solution when one exists. A heuristic is a fast, experience-based shortcut that is efficient but not guaranteed. The distinction is:

• Algorithm: exhaustive and rule-bound; it guarantees a solution where applicable but is slow and carries a high cognitive load, for example exhaustive search through all possible moves.
• Heuristic: approximate and cue-based; it is probabilistic and liable to error but quick and low in load, for example means-ends analysis, or the availability and representativeness heuristics described by Tversky and Kahneman.

Newell and Simon’s problem-space theory frames reasoning as moving through states from initial to goal, where operators and representations determine success. Mental set is a tendency to repeat a previously successful strategy, which can help but can also cause the Einstellung effect. Luchins’ water-jar experiment showed that after solving several problems with the same formula, participants failed to see a simpler solution for a later problem; prior success created fixation. Duncker’s candle problem showed that tools (box, tacks, candle) were initially seen only by their usual function, illustrating functional fixedness; when the box was redefined as a platform, solutions increased. Maier’s two-string problem similarly showed that people often miss the solution of swinging one string with pliers because they do not recombine familiar objects in a novel way. These experiments show that prior experience constrains problem-solving by narrowing the problem space.

(b) Biological and cultural bases of emotion

Emotion has biological bases. James-Lange theory says emotion follows bodily change; Cannon-Bard argues visceral and emotional responses occur in parallel; Schachter-Singer adds cognitive labelling of arousal. The limbic system, especially amygdala and hypothalamus, and the Papez circuit help generate, regulate and express emotion. Polygraphs can measure arousal but cannot reliably identify a specific emotion. Culture shapes emotion through display rules, cultural scripts and learned norms. Ekman identified basic facial expressions of universal emotions with cross-cultural recognition, while Matsumoto’s research showed recognition accuracy varies with cultural context and familiarity. Non-verbal cues include facial expressions, body language, paralanguage and proxemics. People do reveal emotions through these cues, but decoding is culturally mediated. In India, collectivist display rules often encourage restraint of anger, pride or grief in public, while stronger expressions may be permitted in family or close-group settings.

(c) Emotional intelligence and training

Emotional intelligence can be explained through Goleman’s five components: self-awareness, self-regulation, motivation, empathy and social skills. The Mayer-Salovey four-branch model treats EI as an ability: perceiving, using, understanding and managing emotions. Ability EI is measured by performance tasks, while trait EI is a self-reported disposition. Research evidence suggests training can enhance EI, especially in workplace and educational settings. Meta-analyses of workplace EI training report moderate improvements in emotional competence and related outcomes. Nelis et al. (2009), in a primary training study, found that emotion-focused training improved young adults’ emotional competence and social outcomes. Matthews et al. (2002), in a critical review, cautioned that ability EI may be relatively stable and that not all self-report gains reflect real skill. Indian SEL initiatives are expanding, but they are not by themselves proof of effectiveness; rigorous evaluation is needed. Thus training is useful but not a panacea; it works best when it targets specific skills, provides practice and feedback, and is embedded in supportive institutional norms.