Evidence for incubation effects in problem-solving is increasing, but the mechanisms that underlie incubation are unclear. An experiment tested two hypotheses about incubation: Spreading activation and opportunistic assimilation. Participants solved easy or difficult remote associates tasks without incubation period, or with an incubation period filled with high or low cognitive load tasks. A lexical decision task with cue and neutral words was given either before or after a second problem attempt. When solving difficult problems, the low-load (...) incubation group benefitted more from the presence of a cue than the high-load incubation group, and the opposite was found with easy problems. Neither incubation nor an initial problem attempt affected lexical decision times to cue words. The results favour opportunistic assimilation as an explanation of incubation effects. They also suggest a differential role for attentional allocation depending on problem difficulty, easy problems benefitting from focused attent.. (shrink)

In this paper, we bring together research on complex problem solving with that on motivational psychology about goal setting. Complex problems require motivational effort because of their inherent difficulties. Goal Setting Theory has shown with simple tasks that high, specific performance goals lead to better performance outcome than do-your-best goals. However, in complex tasks, learning goals have proven more effective than performance goals. Based on the Zurich Resource Model, so-called motto-goals should activate a person’s resources through positive affect. (...) It was found that motto-goals are effective with unpleasant duties. Therefore, we tested the hypothesis that motto-goals outperform learning and performance goals in the case of complex problems. A total of N = 123 subject participated in the experiment. In dependence of their goal condition, subjects developed a personal motto, learning, or performance goal. This goal was adapted for the computer-simulated complex scenario Tailorshop, where subjects worked as managers in a small fictional company. Other than expected, there was no main effect of goal condition for the management performance. An unexpected gender effect revealed better performance for men than women, pointing to a potential stereotype threat. As hypothesized, motto goals led to higher positive and lower negative affect than the other two goal types. Even though positive affect decreased and negative affect increased in all three groups during Tailorshop completion, participants with motto goals reported the lowest rates of negative affect. Exploratory analyses investigated the role of affect in complex problem solving via mediational analyses and the influence of goal type on perceived goal attainment. (shrink)

A general model of problem‐solving processes based on misconception elimination is presented to simulate both impasses and solving processes. The model operates on goal‐related rules and a set of constraint rules in the form of “if (state or goal), do not (Action)” for the explicit constraints in the instructions and the implicit constraints that come from misconceptions of legal moves. When impasses occur, a constraint elimination mechanism is applied. Because successive eliminations of implicit constraints enlarge the (...) class='Hi'>problem space and have an effect on planning, the model integrates “plan‐based” and “constraint‐based” approaches to problem‐solving behavior.Simulating individual protocols of Tower of Hanoi situations shows that the model, which has a proper set of constraints, predicts a single move with no alternative on about 61% of the movements and that protocols are quite successfully simulated movement by movement. Finally, it is shown that many features of previous models are embedded in the constraint elimination model. (shrink)

The current study describes the implementation of an online Future Problem Solving program in the field of Health education and set out to explore its contribution to students' eHealth Literacy identity, by using two levels of teacher guidance: minimal vs. frequent. FPS was employed in two groups of Health students. In the research group, frequent weekly guidance was provided to the students centered on the enhancement of eHealth Literacy skills, whereas in the control group minimal guidance was offered (...) by the lecturer. Data for the analysis were gathered from 113 Israeli undergraduate students of a Management of Health Service Organizations program, of whom 62 comprised the research group. Data were gathered twice, pre- and post-program implementation from both groups. Findings showed significant differences between the tests only for the research group, with increased levels of eHealth Literacy skills detected between the tests. The perception of the FPS program as meaningful contributed to students' perceived eHealth Literacy skills only in the research group whereas non-significant results were shown for the control group. This study mainly shows that the enhancement of skills in online educational environments requires frequent and personalized guidance. Faculty must recognize the role of the instructor as a facilitator of learning and design successful scaffolding strategies to nurture students' lifelong learning skills during distance learning. (shrink)

Learning to solve a class of problems can be characterized as a search through a space of hypotheses about the rules for solving these problems. A series of four experiments studied how different learning conditions affected the search among hypotheses about the solution rule for a simple computational problem. Experiment 1 showed that a problem property such as computational difficulty of the rules biased the search process and so affected learning. Experiment 2 examined the impact of examples (...) as instructional tools and found that their effectiveness was determined by whether they uniquely pointed to the correct rule. Experiment 3 compared verbal directions with examples and found that both could guide search. The final experiment tried to improve learning by using more explicit verbal directions or by adding scaffolding to the example. While both manipulations improved learning, learning still took the form of a search through a hypothesis space of possible rules. We describe a model that embodies two assumptions: the instruction can bias the rules participants hypothesize rather than directly be encoded into a rule; participants do not have memory for past wrong hypotheses and are likely to retry them. These assumptions are realized in a Markov model that fits all the data by estimating two sets of probabilities. First, the learning condition induced one set of Start probabilities of trying various rules. Second, should this first hypothesis prove wrong, the learning condition induced a second set of Choice probabilities of considering various rules. These findings broaden our understanding of effective instruction and provide implications for instructional design. (shrink)

This book offers a uniquely constructive set of tools for engaging complex and controversial ethical problems. Covering such practical methods as diversifying options, lateral thinking, reframing problems, approaching conflicts as creative opportunities, and many others, it shows how to find "room to move" inside even the most challenging ethical problems, and thereby discover new and productive ways to deal with them. The book features numerous exercises and applications that consider a wide range of familiar ethical issues--including the moral status of (...) animals, the death penalty, poverty, drug use, and many others--and ends with some of the toughest: abortion, assisted suicide, and environmental ethics. An ideal supplement for any general ethics course, Creative Problem-Solving in Ethics can also be used in more specific "applied" courses like bioethics, business ethics, and social ethics, as well as in critical thinking courses that emphasize ethics. In addition, it provides a concise and engaging introduction to creative thinking for workshop participants and general readers. From the very beginning of the book, readers will discover that creative thinking can offer imaginative and promising alternatives to seemingly intractable ethical dilemmas. (shrink)

Humans have long been characterized as poor probabilistic reasoners when presented with explicit numerical information. Bayesian word problems provide a well-known example of this, where even highly educated and cognitively skilled individuals fail to adhere to mathematical norms. It is widely agreed that natural frequencies can facilitate Bayesian reasoning relative to normalized formats (e.g. probabilities, percentages), both by clarifying logical set-subset relations and by simplifying numerical calculations. Nevertheless, between-study performance on “transparent” Bayesian problems varies widely, and generally remains rather unimpressive. (...) We suggest there has been an over-focus on this representational facilitator (i.e. transparent problem structures) at the expense of the specific logical and numerical processing requirements and the corresponding individual abilities and skills necessary for providing Bayesian-like output given specific verbal and numerical input. We further suggest that understanding this task-individual pair could benefit from considerations from the literature on mathematical cognition, which emphasizes text comprehension and problem solving, along with contributions of online executive working memory, metacognitive regulation, and relevant stored knowledge and skills. We conclude by offering avenues for future research aimed at identifying the stages in problem solving at which correct versus incorrect reasoners depart, and how individual difference might influence this time point. (shrink)

Problem solving can be readily described as one of the key activities regularly performed by professionals in any workplace setting. Despite its importance, however, there is relatively little linguistic research which looks at the complex ways in which problems are constructed in discourse. This article sees the enactment of a ‘problem’ as a discursive phenomenon with fluid boundaries. It draws on business meeting data recorded in multinational companies in Europe and focuses on excerpts identified by the participants (...) as having a PbS function. The data show that problem solving processes and practice are anchored to the structure of the organizations, the local history and employees’ shared perceptions of professional practices and hierarchies in their workplace. The analysis also shows two focal points in the PbS talk of the participants in this study, namely identification of a problem and its ownership. These, however, are not predetermined starting points but rather locally constructed in relation to the status, expertise and shared/past history of the interactants. (shrink)

In the present research, the authors hypothesized that additive counterfactual thinking mind-sets, activated by adding new antecedent elements to reconstruct reality, promote an expansive processing style that broadens conceptual attention and facilitates performance on creative generation tasks, whereas subtractive counterfactual thinking mind-sets, activated by removing antecedent elements to reconstruct reality, promote a relational processing style that enhances tendencies to consider relationships and associations and facilitates performance on analytical problem-solving tasks. A reanalysis of a published data set suggested that (...) the counterfactual mind-set primes previously used in the literature tend to evoke subtractive counterfactuals. Studies 1 and 2 then demonstrated that subtractive counterfactual mind-sets enhanced performance on analytical problem-solving tasks relative to additive counterfactual mind-sets, whereas Studies 3 and 4 found that additive counterfactual mind-sets enhanced performance on creative generation tasks relative to subtractive counterfactual mind-sets. (shrink)

When Festus said to Paul: ‘Much learning doth make thee mad’, Paul's answer was the instinctive defence of a scholar under attack: ‘I am not mad, most noble Festus, but speak forth the words of truth and soberness’. Whether poets were mad or sober has been a question for critics ever since Gorgias pointed out the incompatibility; it is less frequently debated why scholars unlike poets should need to affirm their sobriety. I should like to concentrate on one aspect of (...) ancient criticism, that of problem-solving, in order, as I hope, to put into a different perspective the whole business of what Alexandrians did with texts. Inevitably perhaps it will be argued that I am neglecting the vast philological and lexical labours of the Alexandrians and failing to appreciate their subtlety in textual criticism. I hope that my criticisms will not be construed in this way; yet I believe that the Alexandrians have been idealized and their critical attitudes over-simplified. By taking a problem from antiquity and setting it in its context, I will be trying to give what I consider to be a more correct perspective to the labours of our ancient predecessors. (shrink)

Solving complex socio-technical problems, this paper claims, involves diverse knowledges (cognitive diversity), competing interests (social diversity), and pragmatism. To explain this view, this paper first explores two different cases: Canadian pulp and paper mill pollution and siting nuclear reactors in seismically sensitive areas of California. Solving such socio-technically complex problems involves cognitive diversity as well as social diversity and pragmatism. Cognitive diversity requires one to not only recognize relevant knowledges but also to assess their validity. Finally, it is (...) suggested, integrating the resultant set of diverse relevant and valid knowledges determines the parameters of the solution space for the problem. (shrink)

The study of insight in problem solving and creative thinking has seen an upsurge of interest in the last 30 years. Current theorising concerning insight has taken one of two tacks. The special-process view, which grew out of the Gestalt psychologists’ theorising about insight, proposes that insight is the result of a dedicated set of processes that is activated by the individual's reaching impasse while trying to deal with a problematic situation. In contrast, the business-as-usual view argues that (...) insight is brought about by the same processes that underlie ordinary thinking . Although those two views are typically treated as being in opposition, it has recently been proposed that a complete understanding of insight will require bringing together aspects of both views. The present paper carries that proposal further. Critical analysis of those two viewpoints demonstrates that each has a positive contribution to make to our understanding of insight, but also is.. (shrink)

Multiple goals balancing is an important but not yet fully validated dimension of complex problem solving (CPS). The present study used process data to explore how solvers clarify goals, set priorities, and balance conflicting goals. We extracted behavioral indicators of goal pursuit from the log data of 3,201 students on the third subtask of the “Ticket” task in the PISA 2012 CPS test. Cluster analysis was used to identify 10 groups that varied in goal pursuit behavior. Logistics and (...) least-squares regression analysis were used to explore how goal pursuit affected task scores and CPS proficiency. The results showed that competent solvers clarified goals and weighed priorities more effectively. They also made trade-offs between conflicting goals. The importance of theoretically-driven log data analysis and coping strategies in the face of multiple goals conflict scenarios was discussed. (shrink)

Cocreating meaning in collaboration is challenging. Success is often determined by people's abilities to coordinate their language to converge upon shared mental representations. Here we explore one set of low‐level linguistic behaviors, linguistic alignment, that both emerges from, and facilitates, outcomes of high‐level convergence. Linguistic alignment captures the ways people reuse, that is, “align to,” the lexical, syntactic, and semantic forms of others' utterances. Our focus is on the temporal change of multi‐level linguistic alignment, as well as how alignment is (...) related to communicative outcomes within a unique collaborative problem‐solving paradigm. The primary task, situated within a virtual educational video game, requires creative thinking between three people where the paths for possible solutions are highly variable. We find that over time interactions are marked by decreasing lexical and syntactic alignment, with a trade‐off of increasing semantic alignment. However, greater semantic alignment does not translate into better team performance. Overall, these findings provide greater clarity on the role of linguistic coordination within complex and dynamic collaborative problem‐solving tasks. (shrink)

Context: The paper utilizes a conceptual analysis to examine the development of abstract conceptual structures in mathematical problem solving. In so doing, we address two questions: 1. How have the ideas of RC influenced our own educational theory? and 2. How has our application of the ideas of RC helped to improve our understanding of the connection between teaching practice and students’ learning processes? Problem: The paper documents how Ernst von Glasersfeld’s view of mental representation can be (...) illustrated in the context of mathematical problem solving and used to explain the development of conceptual structure in mathematical problem solving. We focus on how acts of mental re‑presentation play a vital role in the gradual internalization and interiorization of solution activity. Method: A conceptual analysis of the actions of a college student solving a set of algebra problems was conducted. We focus on the student’s problem solving actions, particularly her emerging and developing reflections about her solution activity. The interview was videotaped and written transcripts of the solver’s verbal responses were prepared. Results: The analysis of the solver’s solution activity focused on identifying and describing her cognitive actions in resolving genuinely problematic situations that she faced while solving the tasks. The results of the analysis included a description of the increasingly abstract levels of conceptual knowledge demonstrated by the solver. Implications: The results suggest a framework for an explanation of problem solving that is activity-based, and consistent with von Glasersfeld’s radical constructivist view of knowledge. The impact of von Glasersfeld’s ideas in mathematics education is discussed. (shrink)

Problem solving in a materially rich environment requires interacting with chance. Sixty-four participants were invited to solve 5-letter anagrams presented as movable tiles in conditions that either allowed the participants to move the tiles as they wished or only allowed random shuffling (without rearranging the tiles post shuffling) thus contrasting pure luck with an interactive model. We hypothesised that shuffling would break unhelpful mental sets and introduce beneficial unplanned problem-solving trajectories. However, participants performed significantly worse when (...) shuffling, which suggests luck plays less of a role than has been previously suggested. Granular analysis of seven critical cases revealed arbitrary path dependency across both conditions and moments of missed luck. It also questions current models of non-agentic luck and the ability to separate agent and luck. This research has implications for fostering better problem solving in an uncertain and fluid world. (shrink)

Recent times have seen increasing interest in conversational assistants (e.g., Amazon Alexa) designed to help users in their daily tasks. In military settings, it is critical to design assistants that are, simultaneously, helpful and able to minimize the user’s cognitive load. Here we show that embodiment plays a key role in achieving that goal. We present an experiment where participants engaged in the desert survival task in augmented reality. Participants were paired with a voice assistant, an embodied assistant, or no (...) assistant. The assistants made suggestions verbally throughout the task, whereas the embodied assistant further used gestures and emotion to communicate with the user. Our results indicate that both assistant conditions led to higher performance over the no assistant condition, but the embodied assistant achieved this with less cognitive burden on the decision maker than the non-embodied assistant. We discuss implications for the design of intelligent collaborative systems for the warfighter. (shrink)

ABSTRACT In 'An Insoluble Problem', Storrs McCall presents an argument which he takes to reveal the real problem with backwards time travel. McCall asks us to imagine a scenario in which a renowned artist produces his famous works by copying them from reproductions brought back to him by a time-travelling art critic. The novelty of the scenario lies in its introduction of aesthetic constraints on the possibility of time travel, something which sets it apart from other time travel (...) cases. McCall states that 'The puzzle lies... in finding where artistic creativity enters the equation', and that 'Unlike the traditional "paradoxes of time travel", this problem has no solution'. We offer four responses to McCall's puzzle. Whilst we show that the puzzle is not insoluble, we also argue that it reveals something about the proper relationship between copying and creativity, which may not have been apparent without considering time travel. (shrink)

Peer interaction has been found to be conducive to learning in many settings. Knowledge co-construction has been proposed as one explanatory mechanism. However, KCC is a theoretical construct that is too abstract to guide the development of instructional software that can support peer interaction. In this study, we present an extensive analysis of a corpus of peer dialogs that we collected in the domain of introductory Computer Science. We show that the notion of task initiative shifts correlates with both KCC (...) and learning. Speakers take task initiative when they contribute new content that advances problem solving and that is not invited by their partner; if initiative shifts between the partners, it indicates they both contribute to problem solving. We found that task initiative shifts occur more frequently within KCC episodes than outside. In addition, task initiative shifts within KCC episodes correlate with learning for low pre-testers, and total task initiative shifts correlate with learning for high pre-testers. As recognizing task initiative shifts does not require as much deep knowledge as recognizing KCC, task initiative shifts as an indicator of productive collaboration are potentially easier to model in instructional software that simulates a peer. (shrink)

Despite an abundance of academic conferences, clinical ethicists lacked a forum to share innovative practices with peers and to generate solutions to common challenges. Organizers of the first Clinical Ethics Un-Conference developed a working event centered on active participation and problem solving through peer learning, with the goal of improving realworld practice. Registrants included 95 individuals from 64 institutions. Attendees were surveyed immediately after the Un-Conference, and again eight months later. After eight months, 85 percent (n = 33/39) (...) of the survey respondents reported that they found the event “highly impactful” or “some-what impactful” to their clinical practice, and 23 attendees reported that they had implemented ideas or projects inspired by the event. Three sets of best practice guidelines and four white papers were published from the event. As the field of clinical ethics continues to advance and evolve, this working event format offers an innovative, disruptive alternative to a traditional conference format and may serve as a model for future efforts aimed at improving real-world clinical ethics practice. (shrink)

Goal-directed problem solving as originally advocated by Herbert Simon’s means-ends analysis model has primarily shaped the course of design research on artificially intelligent systems for problem-solving. We contend that there is a definite disregard of a key phase within the overall design process that in fact logically precedes the actual problem solving phase. While systems designers have traditionally been obsessed with goal-directed problem solving, the basic determinants of the ultimate desired goal state (...) still remain to be fully understood or categorically defined. We propose a rational framework built on a set of logically inter-connected conjectures to specifically recognize this neglected phase in the overall design process of intelligent systems for practical problem-solving applications. (shrink)

This is an account of the evolution of ideas and the confluence of support and vision that has eventuated in the founding of the Journal of Empirical Research on Human Research Ethics (JERHRE). Many factors have contributed to the creation of this rather atypical academic journal, including a scientific and administrative culture that finally saw the need for it, modern electronic technology, individuals across the world who were committed to somehow finding common ground between researchers and those charged with ethical (...) oversight of research, a network of helpful colleagues, and a university whose administration gave moral support to the endeavor in a time of fiscal austerity. Perhaps equally important were the decisions to make JERHRE a nonprofit undertaking, to emphasize the implications of empirical research for specific best practices, to serve the educational needs of those concerned with human research, and to seek to stimulate the interest of students in gaining an evidence-based understanding of the research contexts in which they decide to work. This article explores the ‘chemistry’ that has made it possible to develop a somewhat unorthodox journal and set of related activities. (shrink)

The Trolley Problem arises from a set of moral dilemmas, most of which involve tradeoffs between causing one death and preventing several more deaths. The normative and descriptive Trolley Problems are closely related. The normative Trolley Problem begins with the assumption that authors' natural responses to these cases are generally, if not uniformly, correct. Thus, any attempt to solve the normative Trolley Problem begins with an attempt to solve the descriptive problem, to identify the features of (...) actions that elicit their moral approval or disapproval. The chapter explains an empirical research paper to provide an approximate descriptive solution to the Trolley Problem. More specifically, this research highlights the influence of two factors that exert a powerful influence when both are present. From a normative perspective, the personal force factor is notable because it is not one that the authors ordinarily regard as morally relevant. (shrink)

Interval bipolar neutrosophic set is a significant extension of interval neutrosophic set where every element of the set comprises of three independent positive membership functions and three independent negative membership functions. In this study, we first define correlation coefficient, and weighted correlation coefficient measures of interval bipolar neutrosophic sets and prove their basic properties. Then, we develop a new multi-attribute decision making strategy based on the proposed weighted correlation coefficient measure. Finally, we solve an investment problem with interval bipolar (...) neutrosophic information and comparison is given to demonstrate the applicability and effectiveness of the proposed strategy. (shrink)

In the context of solving large distributed constraint optimization problems, belief-propagation and incomplete inference algorithms are candidates of choice. However, in general, when the problem structure is very cyclic, these solution methods suffer from bad performance, due to non-convergence and many exchanged messages. As to improve performances of the MaxSum inference algorithm when solving cyclic constraint optimization problems, we propose here to take inspiration from the belief-propagation-guided decimation used to solve sparse random graphs. We propose the novel (...) DeciMaxSum method, which is parameterized in terms of policies to decide when to trigger decimation, which variables to decimate and which values to assign to decimated variables. Based on an empirical evaluation on a classical constraint optimization benchmarks, some of these combinations of policies, using periodic decimation, cycle detection-based decimation, parallel and non parallel decimation, random or deterministic variable selection and deterministic or random sampling for value selection, outperform state-of-the-art competitors in many settings. (shrink)

In Reasons and Persons, Derek Parfit cannot find a theory of well-being that solves the Non-Identity Problem, the Repugnant Conclusion, the Absurd Conclusion, and all forms of the Mere Addition Paradox. I describe a “Quasi-Maximizing” theory that solves them. This theory includes (i) the denial that being better than is transitive and (ii) the “Conflation Principle,” according to which alternative B is hedonically better than alternative C if it would be better for someone to have all the B-experiences. (i) (...) entails that Quasi-Maximization is not a maximizing theory, but (ii) ensures that its evaluations will often coincide with such theories. (shrink)

In this paper we investigate a particular two-stage supply chain network design problem with fixed costs. In order to solve this complex optimization problem, we propose an efficient hybrid algorithm, which was obtained by incorporating a linear programming optimization problem within the framework of a genetic algorithm. In addition, we integrated within our proposed algorithm a powerful local search procedure able to perform a fine tuning of the global search. We evaluate our proposed solution approach on a (...) set of large size instances. The achieved computational results prove the efficiency of our hybrid genetic algorithm in providing high-quality solutions within reasonable running-times and its superiority against other existing methods from the literature. (shrink)

Evans’ 1968 ANALOGY system was the first computer model of analogy. This paper demonstrates that the structure mapping model of analogy, when combined with high‐level visual processing and qualitative representations, can solve the same kinds of geometric analogy problems as were solved by ANALOGY. Importantly, the bulk of the computations are not particular to the model of this task but are general purpose: We use our existing sketch understanding system, CogSketch, to compute visual structure that is used by our existing (...) analogical matcher, Structure Mapping Engine (SME). We show how SME can be used to facilitate high‐level visual matching, proposing a role for structural alignment in mental rotation. We show how second‐order analogies over differences computed via analogies between pictures provide a more elegant model of the geometric analogy task. We compare our model against human data on a set of problems, showing that the model aligns well with both the answers chosen by people and the reaction times required to choose the answers. (shrink)

The “representation problem” in abstract algebraic logic is that of finding necessary and sufficient conditions for a structure, on a well defined abstract framework, to have the following property: that for every structural closure operator on it, every structural embedding of the expanded lattice of its closed sets into that of the closed sets of another structural closure operator on another similar structure is induced by a structural transformer between the base structures. This question arose from Blok and Jónsson (...) abstract analysis of one of Blok and Pigozzis’s characterizations of algebraizable logics. The problem, which was later on reformulated independently by Gil-Férez and by Galatos and Tsinakis, was solved by Galatos and Tsinakis in the more abstract framework of the category of modules over a complete residuated lattice, and by Galatos and Gil-Férez in the even more abstract setting of modules over a quantaloid. We solve the representation problem in Blok and Jónsson’s original context of M-sets, where M is a monoid, and characterise the corresponding M-sets both in categorical terms and in terms of their inner structure, using the notions of a graded M-set and a generalized variable introduced by Gil-Férez. (shrink)

When collective decisions should be made democratically, which people form the relevant demos? Many theorists think this question is an embarrassment to democratic theory: because any decision about who forms the demos must be made democratically by the right demos, which itself must be democratically constituted and so on ad infinitum; and because neither the concept of democracy, nor our reasons for caring about democracy, determine who should form the demos. Having distinguished between these three versions of the demos (...) class='Hi'>problem, we argue that each of them can be solved. (shrink)

Our pollution of the environment seems set to lead to widespread problems in the future, including disease, scarcity of resources, and bloody conflicts. It is natural to think that we are required to stop polluting because polluting harms the future individuals who will be faced with these problems. This natural thought faces Derek Parfit’s famous Non-Identity Problem ( 1984 , pp. 361–364). The people who live on the polluted earth would not have existed if we had not polluted. Our (...) polluting behaviour does not make these individuals worse off. It may therefore seem that we do not harm them by polluting. Parfit argues that we should replace person-affecting principles with an impersonal principle of beneficence, Principle Q ( 1984 , p. 360.). I argue that Principle Q cannot give an adequate account of our duties to refrain from polluting. I consider attempts to solve the Non-Identity Problem by denying that to harm someone an agent must make them worse off. I argue that such responses provide a partial solution to the Non-Identity Problem. They do show that we harm future individuals in a morally relevant sense by polluting. Nonetheless, this is only a partial solution. The Non-Identity Problem still suggests that our harm-based reasons not to pollute are less strong than we intuitively believe. Thus on its own an appeal to the claim that we harm future individuals is not able to give a fully satisfactory account of why we are required not to pollute. (shrink)

We describe a set of two computer‐implemented models that solve physics problems in ways characteristic of more and less competent human solvers. The main features accounting for different competences are differences in strategy for selecting physics principles, and differences in the degree of automation in the process of applying a single principle. The models provide a good account of the order in which principles are applied by human solvers working problems in kinematics and dynamics. They also are sufficiently flexible to (...) allow easy extension to several related domains of physics problems. (shrink)

ABSTRACTWhile metaphor researchers commonly use the word “mapping” in explanations of various types of figurative language, there is a lack of recognition that the term is itself metaphorical. In fact, the term has two metaphor-based working definitions, the more commonly cited being that relating to mathematical set theory and the less common definition originating in cognitive neuroscience. Perhaps not coincidentally, terminological inconsistencies relating to mapping have led to theoretical problems both for single-domain theories of metonymy and attempts to examine Lakoff’s (...) invariance hypothesis. This article will assert that expressing metonymic connectivity using the neuroscience term “binding” will both eliminate unnecessary theoretical confusion for cognitive linguists and provide common terminology to facilitate productive communication between cognitive linguists and cognitive neuroscientists. (shrink)

This paper is a short essay that claims that a systemic problem cannot be rightly understood and even less solved on the same level, in the same framework or with the same tools that entail the very same problem. This is a radical variation of Einstein’s idea set out in the context of the Copenhaguen debate according to which a problem cannot be solved if we do not change the conditions in which the problem arose originally. (...) More exactly, a systemic problem cannot be tackled and solved with tools, approaches and rods of the very same kind, level, nature of framework that define the problem. To truly tackle and solve any problem, the approach, tools, concepts, models, and the like need have a higher or heavier calibre so to speak than the problem. Otherwise, we do not solve a problem at all. At its best, we displace it. This essay argues that to solve any systemic problem a complexity endeavour is needed. Reasons for the insufficiency of systems science and about the rationale of complexity theory are provided.Key words: problem solving; systems science; complexity theory; epistemology; world. (shrink)

Word problems are notoriously difficult to solve. We suggest that much of the difficulty children experience with word problems can be attributed to difficulty in comprehending abstract or ambiguous language. We tested this hypothesis by (1) requiring children to recall problems either before or after solving them, (2) requiring them to generate f'mal questions to incomplete word problems, and (3) modeling performance pattems using a computer simulation. Solution performance was found to be systematically related to recall and question generation (...) performance. Correct solutions were associated with accurate recall of the problem structure and with appropriate question generation. Solution "errors" were found to be correct solutions to miscomprehended problems. Word problems that contained abstract or ambiguous language tended to be miscomprehended more often than those using simpler language, and there was a great deal of systematicity in the way these problems were miscomprehended. Solution error pattems were successfully simulated by manipulating a computer model’s language comprehension strategies, as opposed to its knowledge of logical set relations. o was.. (shrink)

The most important property, a distinctive feature of any intelligent system, is its decision-making ability. In this case, the more complex the problem to be solved, the more and more diverse the initial data, and the more critical it is that the decision to be made was comprehensively considered and evaluated. In many cases, simultaneously arriving various initial data, if considered separately, and decisions based on such consideration lead to completely different results, often contradicting each other. Therefore, in the (...) process of development and implementation of artificial intelligence (AI), it is especially important to investigate the “mechanism” of decision-making in conditions of the inconsistency of incoming initial data and the need to establish some generalizing rule, according to which it is possible to find a harmonizing solution taking into account various influencing factors. It is evident that when establishing the rules of decision-making, it is necessary to strive for a “positive” result from the point of view of the problem being solved. This undoubtedly requires analyzing the consequences of the decision made in a set time scale, which can be provided by appropriate feedback that will allow us to make the necessary corrective actions. Artificial intelligence in modern forms of practical realization has, as a rule, a digital embodiment. It should be taken into account that the digital representation of data inevitably shows an inaccurate display of initial values when processes of a continuous nature are considered and analyzed. Since a digital model has certain limitations and characteristic properties when analyzing and processing initial data, it is logical to assume that for this reason, there can be some general approach, some general rule, according to which a decision is made in the conditions of diverse initial data and the need to take into account the relevant consequences after the decision is made. This paper attempts to find a decision-making mechanism, harmonizing it according to the incoming external and available internal input data. (shrink)

Complex problem solving is often an integration of perceptual processing and deliberate planning. But what balances these two processes, and how do novices differ from experts? We investigate the interplay between these two in the game of SET. This article investigates how people combine bottom-up visual processes and top-down planning to succeed in this game. Using combinatorial and mixed-effect regression analysis of eye-movement protocols and a cognitive model of a human player, we show that SET players deploy both (...) bottom-up and top-down processes in parallel to accomplish the same task. The combination of competition and cooperation of both types of processes is a major factor of success in the game. Finally, we explore strategies players use during the game. Our findings suggest that within-trial strategy shifts can occur without the need of explicit meta-cognitive control, but rather implicitly as a result of evolving memory activations. (shrink)

RESUMEN Las teorías de la referencia puramente descriptivistas o causales fracasan a la hora de dar cuenta del modo en que se fija y puede rastrearse la referencia de los términos teóricos. Psillos propuso dos versiones del descriptivismo causal que recogen argumentos presentes en defensas previas de dicha posición. Se trata de una teoría mixta que pretende solucionar el problema y acomodarse a intuiciones presentes en enfoques alternativos, como el que apela a oraciones de Ramsey. El artículo se propone mostrar (...) la insuficiencia del descriptivismo causal como solución al problema de la referencia de los términos teóricos. ABSTRACT Purely descriptivist or purely causal reference theories fail to account for the manner in which the reference of theoretical terms is fixed and can be traced. S. Psillos proposed two versions of causal descriptivism that take up arguments set forth in previous defenses of said position. His is a mixed theory that attempts to solve the problem by adopting insights from alternative approaches, such as those that resort to Ramsey sentences. The objective of the article is to show the insufficiency of causal descriptivism as a solution to the problem of reference of theoretical terms. (shrink)

Ethical morality is one of the significant issues in self-driving cars. The paper provides a newer approach to solve the ethical decision problems in self-driving cars until there is no concrete ethical decision to all problems. This paper gives a two-way approach to solve a problem, with first being the mapping of problem to the solution already known or which has a fixed set of solutions and action priorities defined to a problem previously. Now, if no solution (...) is found or mapping is unsuccessful, then the second stage activates, where the solution from Deep Q-learning model is calculated. It estimates the best Q value and returns that solution or action which maximizes the reward at that instance. The reward function is designed with decreasing priorities and acts accordingly, where the users can change or define their priorities if needed. The case study and results show that the solution that is present in the paper will lead to solving ethical morality problems in self-driving cars up to a great extent. (shrink)

In this paper, Taylor series is used to solve neutrosophic multi-objective programming problem (NMOPP). In the proposed approach, the truth membership, Indeterminacy membership, falsity membership functions associated with each objective of multi-objective programming problems are transformed into a single objective linear programming problem by using a first order Taylor polynomial series. Finally, to illustrate the efficiency of the proposed method, a numerical experiment for supplier selection is given as an application of Taylor series method for solving neutrosophic (...) multi-objective programming problem at end of this paper. (shrink)

The Vehicle Routing Problem (VRP) has been extensively studied by different researchers from all over the world in recent years. Multiple solutions have been proposed for different variations of the problem, such as Capacitive Vehicle Routing Problem (CVRP), Vehicle Routing Problem with Time Windows (VRP-TW), Vehicle Routing Problem with Pickup and Delivery (VRPPD), among others, all of them with deterministic times. In the last years, researchers have been interested in including in their different models the (...) variations that travel times may experience when exposed to all kind of phenomena, mainly vehicle traffic. This article addresses the VRP from this perspective, proposing the design and implementation of a genetic algorithm based on neutrosophic theory for calculating the fitness function of each route, considering the variability and uncertainty present in travel times. A deterministic genetic algorithm is also implemented with the average travel times to compare it with the neutrosophic algorithm using simulation. As conclusion, a deterministic algorithm does not necessarily generate the best solution in the real world, full of uncertainty. Also, the quantification of uncertainty using neutrosophic theory can be used in route planning, opening a broad and interesting field of research for future investigations. (shrink)

Bipolar neutrosophic sets are the extension of neutrosophic sets and are based on the idea of positive and negative preferences of information. Projection measure is a useful apparatus for modelling real life decision making problems. In the paper, we define projection, bidirectional projection and hybrid projection measures between bipolar neutrosophic sets. Three new methods based on the proposed projection measures are developed for solving multi-attribute decision making problems. In the solution process, the ratings of performance values of the alternatives (...) with respect to the attributes are expressed in terms of bipolar neutrosophic values. We calculate projection, bidirectional projection, and hybrid projection measures between each alternative and ideal alternative with bipolar neutrosophic information. All the alternatives are ranked to identify the best alternative. Finally, a numerical example is provided to demonstrate the applicability and effectiveness of the developed methods. Comparison analysis with the existing methods in the literature in bipolar neutrosophic environment is also performed. (shrink)

This paper investigates the Generalized Traveling Salesman Problem (GTSP), which is an extension of the well-known Traveling Salesman Problem (TSP), and it searches for an optimal tour in a clustered graph, such that every cluster is visited exactly once. In this paper, we describe a novel Memetic Algorithm (MA) for solving efficiently the GTSP. Our proposed MA has at its core a genetic algorithm (GA), completed by a Chromosome Enhancement Procedure (CEP), which is based on a TSP (...) solver and the Shortest Path (SP) algorithm and for improving the convergence characteristics of the GA, a Local Search (LS) operation is applied for the best chromosomes in each generation. We tested our algorithm on a set of well-known instances from the literature and the achieved results prove that our novel memetic algorithm is highly competitive against the existing solution approaches from the specialized literature. (shrink)