Free Sample   Critical Thinking And Problem Solving : Business Media

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Critical Thinking And Problem Solving : Business Media

  0 Downloads   |   6 Pages 1,254 Words   |   Published Date: 15/11/2017

Question:

Describe about the Critical Thinking and Problem Solving for Business Media.
 
 

Answer:

1.Problems that are puzzles:

The puzzle like problems require lateral thinking and critical assessment for solving, it generally evaluates one’s intelligence in terms of application of knowledge. The current solution to a puzzle like problem is to determine the problem statement along with suitable solutions (Ericsson and Hastie 2013). The puzzle can be logical, mathematical, mechanical, or practical based upon the knowledge application. Puzzle is stated as difficult yet cognitive problems that assess a person’s inductive reasoning along with aptitude of related thinking for solving. The solving process requires better deduction skills as well.

Problems with uncertainties: Uncertain problems are identified to be situations or scenarios that might have suitable solutions or may not have suitable solutions. The problems are based on some uncertain factors as approximation or truncated values in scenarios (Miller 2013). For instance, problems might require estimating exact value; however, the value may be closer to round-up value. Problems deal with fractional or percentage values with certain level of precision that requires uncertain factors (Nickerson, Yen and Mahoney 2012). The uncertainty problems may have rough estimation at times with up to two or three decimal points. The uncertain problems are challenging to solve with exact outcome generation.

2.

Type

Text

Claim

In an age where we increasingly communicate via email, text messages, and social media posts instead of face-to-face, it can be hard to judge whether we are getting the tone right.

Issue

Can it be hard to judge the tone right, in an age where we increasingly communicate via email, text messages, and social media posts instead of face-to-face?

Statement

But what if there was an app for that? Would you trust a piece of software to communicate with your boss or your loved one for you?

Argument

Premise/Conclusion

Without the non-verbal cues we take for granted when talking in person with someone – or even on the phone – it can be hard to know whether what you’re saying is being taken the right way.

Claim

McNeil believes people might be ready for some assistance with these kinds of tricky communication tasks. For example, when you meet someone and you like that person, people often have friends ‘workshop’ their texts.

Issue

Might people be ready for some assistance with these kinds of tricky communication tasks?

Statement

If you're trying to set up a date with someone you might reach out to a bunch of your friends and say, ‘what should I say to this person?’

Argument

Premise/Conclusion

We sometimes outsource it to our friends because this is just a constant problem.

Claim

There’s a wonderfully cheerful, realistic advert-like video that explains how it might work.

Issue

Does that wonderfully cheerful, realistic advert-like video explain how it might work?

Statement

Let’s employ the technology!

Argument

Premise/Conclusion

“It was important to us to build a functioning app, so that it would go beyond speculative design fiction or sci-fi,” McCarthy says. “Because it is a real app, when you encounter it, you are faced with choices and questions.”

Table 1: Claim, Issue, Statement and Premise/Conclusion Identification

(Source: Created by author)

 

3.

The provided argument is as following:

“Alex wants to pass the maths unit. If Maria does not go out then she will help Alex with his maths homework. Alex will fail the maths unit if Maria does not help him with his maths homework. Therefore if Maria goes out, Alex will fail the maths unit.”

“Maria goes out” is taken as ‘M’ and “Maria does not go out” is taken as ‘~M’

“Maria will help Alex with his maths homework” is taken as ‘H’ and “Maria does not help him with his maths homework” is taken as ‘~H’

“Alex will fail the maths unit” is taken as ‘~A’ and “Alex wants to pass the maths unit” is taken as ‘A’

~M -> H

~A -> ~H

-------------------------

M -> ~A

Therefore, the entire expression is formed as follows:

[(~M -> H) Λ (~A -> ~H)] -> (M -> ~A)

Therefore, the simplified form is as following:

(((NOT M) IMPLIES H) AND ((NOT A) IMPLIES (NOT H))) IMPLIES (M IMPLIES (NOT A))

The truth is formed as following:

A

H

M

[(~M -> H) Λ (~A -> ~H)] -> (M -> ~A)

T

T

T

F

T

T

F

T

T

F

T

F

T

F

F

T

F

T

T

T

F

T

F

T

F

F

T

T

F

F

F

T

Table 2: Truth table for the given argument

(Source: Created by author)

The above argument is invalid because this truth table is not tautology.

4.

D à (S ● ~D)

D ● ~C

Cà~S

-----------------------

(~D ● ~S) v ~C

As per the provided arguments, the entire expression can be formed as:

[(D → (S Λ ~D)) Λ (D Λ ~C) Λ (C → ~S)] → ((~D Λ ~S) V ~C) 

Therefore, the simplified form is as following:

((D IMPLIES (S AND (NOT D))) AND D AND (NOT C) AND (C IMPLIES (NOT S))) IMPLIES (((NOT D) AND (NOT S)) OR (NOT C))

The truth table is formed as following:

C

S

D

[(D → (S Λ ~D)) Λ (D Λ ~C) Λ (C → ~S)] → ((~D Λ ~S) V ~C)

F

F

F

T

F

F

T

T

F

T

F

T

F

T

T

T

T

F

F

T

T

F

T

T

T

T

F

T

T

T

T

T

Table 3: Truth table for the given argument

(Source: Created by author)

The above argument is valid because this truth table is a tautology.

 

Bibliography

Bernlochner, F.U., Ligeti, Z. and Turczyk, S., 2012. A proposal to solve some puzzles in semileptonic B decays. Physical Review D, 85(9), p.094033.

Ericsson, K.A. and Hastie, R., 2013. Contemporary Approaches to the Study of Thinleing and Problem Solving. Thinking and problem solving, 2, p.37.

Funke, J., 2012. Complex problem solving. In Encyclopedia of the sciences of learning (pp. 682-685). Springer US.

Huang, S.Y. and Teghem, J. eds., 2012. Stochastic versus fuzzy approaches to multiobjective mathematical programming under uncertainty(Vol. 6). Springer Science & Business Media.

Liu, Y., 2012. An analytic method for solving uncertain differential equations.Journal of Uncertain Systems, 6(4), pp.244-249.

Margellos, K., Goulart, P. and Lygeros, J., 2014. On the road between robust optimization and the scenario approach for chance constrained optimization problems. IEEE Transactions on Automatic Control, 59(8), pp.2258-2263.

Miller, A., 2013. Environmental problem solving: psychosocial barriers to adaptive change. Springer Science & Business Media.

Nickerson, J., Yen, C.J. and Mahoney, J.T., 2012. Exploring the problem-finding and problem-solving approach for designing organizations. The Academy of Management Perspectives, 26(1), pp.52-72.

Peng, Y. and Reggia, J.A., 2012. Abductive inference models for diagnostic problem-solving. Springer Science & Business Media.

Puppe, F., 2012. Systematic introduction to expert systems: Knowledge representations and problem-solving methods. Springer Science & Business Media.

Qin, Z. and Kar, S., 2013. Single-period inventory problem under uncertain environment. Applied Mathematics and Computation, 219(18), pp.9630-9638.

Sheng, Y. and Yao, K., 2012. Fixed charge transportation problem and its uncertain programming model. Industrial Engineering and Management Systems, 11(2), pp.183-187.

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