In their paper 'Reward is enough', Silver et al conjecture that the creation of sufficiently good reinforcement learning (RL) agents is a path to artificial general intelligence (AGI). We consider one aspect of intelligence Silver et al did not consider in their paper, namely, that aspect of intelligence involved in designing RL agents. If that is within human reach, then it should also be within AGI's reach. This raises the question: is there an RL environment which incentivises RL (...) agents to design RL agents? (shrink)

Learning mathematics through distance education can be challenging, with the “logical” and “rewarding” nature proving difficult to measure. This article aimed to articulate an argument explaining the “logical” and “rewarding” nature of online mathematics learning, elucidating their causal factors. Existing data from the literature that involving students at Visayas State University, Philippines, were utilized in this study. The study used statistical measures to capture descriptions from the data, and quantile regression analysis was employed to forecast the predictors of (...) the logicality and rewarding nature of learning mathematics at a distance. Results indicate that learning mathematics in the new normal is perceived as “logical” and moderately “rewarding”. The regression and correlation analyses revealed a significant positive association between the perceived “logical” nature and the rewarding experience of learning mathematics. The constructed statistical models depicted that the determinants of logicality in learning mathematics include family income, money spent on the internet, learning environment, household size, social status, and health. Moreover, causal factors such as family income, money spent on the internet, learning environment, leisure activities, social status, and health significantly determine the rewarding nature of learning mathematics online. Conclusively, institution must support college students with their online learning needs. Furthermore, mathematics instructors should create lively and exciting online discussions that boost their logical thinking. Providing problem-solving task that are intrinsically rewarding can contribute to a more fulfilling learning experience. (shrink)

Interpreting others' actions is essential for understanding the intentions and goals in social interactions. Activity in the motor cortex is evoked when we see another person performing actions, which can also be influenced by the intentions and context of the observed action. No study has directly explored the influence of reward and punishment on motor cortex activity when observing others' actions, which is likely to have substantial relevance in different social contexts. In this experiment, EEG was recorded while participants (...) watched movie clips of a person performing actions that led to a monetary reward, loss or no change for the observer. Using the EEG mu rhythm as an index of motor resonance, our results demonstrate that observation of rewarding actions produce significantly greater motor cortex activity than punishing or neutral actions, with punishing actions producing greater activity than neutral ones. In addition, the dynamic change in the mu rhythm over sensorimotor cortex is modulated by reward and punishment, with punishing actions producing a prolonged suppression. These findings demonstrate that the associated reward value of an observed action may be crucial in determining the strength of the representation of the action in the observer's brain. Consequently, reward and punishment is likely to drive observational learning through changes in the action observation network, and may also influence how we interpret, understand, engage in and empathize with others' actions in social interaction. (shrink)

After generalizing the Archimedean property of real numbers in such a way as to make it adaptable to non-numeric structures, we demonstrate that the real numbers cannot be used to accurately measure non-Archimedean structures. We argue that, since an agent with Artificial General Intelligence (AGI) should have no problem engaging in tasks that inherently involve non-Archimedean rewards, and since traditional reinforcement learning rewards are real numbers, therefore traditional reinforcement learning probably will not lead to AGI. We indicate two (...) possible ways traditional reinforcement learning could be altered to remove this roadblock. (shrink)

After the belief in Allah and in the necessities of His religion, the first of our duties towards Him is to learn our responsibilities as an ‘abd [servant] and worshipping according to His will. Worship is to do what Allah commands and not to do what He prohibits. Worship is legislated by Allah and His Prophet. Thus, the unity and solidarity in worship is achieved. Some reasons and causes for worships are known however the main purpose of worshipping is to (...) serve Allah. Not all the worships are bound with a standard reward scale. Allah has put some standard reward scales as a result of His grace and blessings on His servants. The most common of these is ten-to-one. Worships like az-Zakah [obligatory charity] and as-Sadaqa [voluntary charity] are given seven hundreds -to-one or more reward. Iḥyaʾ Laylat al-Qadr (keeping vigil in that night) is equal to worshipping in a thousand months. In addition, there are unlimited and uncounted blessings in this World and in the hereafter. Also the reward of the worships (like prayer, fasting, giving charity and pilgrimage) is determined by Allah and is subjected to special reward scales. He is who determines the worships and their rewards. One of the greatest blessings of Allah to His slaves is Tawbah [repentance from sins] which means a chance for human beings to make themselves forgiven. Also there is ar-Riya’ [showing off, insincerity] which annuls the worship and limits its reward to this World only. (shrink)

Primary objective: This study represents the first large-scale research on high school philosophy in a public education curriculum in North America. Our objective was to identify the impacts of high school philosophy, as well as the challenges of teaching it in its current format in Ontario high schools. Research design: The qualitative research design captured the perspectives of students and teachers with respect to philosophy at the high school level. All data collection was structured around central questions to provide insight (...) into the dynamics of their shared process of teaching/learning. Methods and procedures: We conducted semi-structured with interviews philosophy teachers (n = 9), classroom observations (n = 142), and student focus groups at 16 diverse high schools. Transcripts were coded according to themes. Results: Our findings reflect the complicated nature of philosophy as a discipline characterized by abstract thinking. Participants found it mind-opening, yet challenging, providing educational opportunities that are largely absent in conventional schooling. They saw multiple connections between philosophy and other subjects, but also appreciated its distinctive benefits. Teachers relied primarily on textbooks and contemporary media to deliver the curriculum. We found that a teacher’s background in philosophy may influence what is taught in philosophy courses and how, especially given the flexibility of the provincial curriculum. Conclusions: The findings suggest that philosophy is a unique, beneficial subject that teachers enjoy teaching and students greatly value, characterizing it as both difficult and rewarding. Our study revealed that considerable differences exist in how philosophy is taught and learned around the province. The flexibility of the provincial curriculum appears to be an invitation for creative and responsive teaching; however, philosophy teachers’ weak preparation can, by their own admission, be a hindrance to effective curriculum delivery. Studying philosophy enhances students’ thinking about other academic areas of study and in some cases opens them up to new ways of thinking. (shrink)

We discuss the evolutionary transition from animals with limited experiencing to animals with unlimited experiencing and basic consciousness. This transition was, we suggest, intimately linked with the evolution of associative learning and with flexible reward systems based on, and modifiable by, learning. During associative learning, new pathways relating stimuli and effects are formed within a highly integrated and continuously active nervous system. We argue that the memory traces left by such new stimulus-effect relations form dynamic, flexible, (...) and varied global sensory states, which we call categorizing sensory states . These CSSs acquired a function: they came to act as internal “evaluators” and led to positive and negative reinforcement of new behavior. They are therefore the simplest, distinct, first-person motivational states that an animal can have. They constitute what we call basic consciousness, and are the hallmark of animals that can experience. Since associative learning has been found in many invertebrate taxa that first appeared during the Cambrian era, we propose that the processes underlying basic consciousness are phylogenetically ancient, and that their emergence may have fueled the Cambrian explosion. (shrink)

A new trend in deep learning, represented by Mutual Information Neural Estimation (MINE) and Information Noise Contrast Estimation (InfoNCE), is emerging. In this trend, similarity functions and Estimated Mutual Information (EMI) are used as learning and objective functions. Coincidentally, EMI is essentially the same as Semantic Mutual Information (SeMI) proposed by the author 30 years ago. This paper first reviews the evolutionary histories of semantic information measures and learning functions. Then, it briefly introduces the author’s semantic information (...) G theory with the rate-fidelity function R(G) (G denotes SeMI, and R(G) extends R(D)) and its applications to multi-label learning, the maximum Mutual Information (MI) classification, and mixture models. Then it discusses how we should understand the relationship between SeMI and Shannon’s MI, two generalized entropies (fuzzy entropy and coverage entropy), Autoencoders, Gibbs distributions, and partition functions from the perspective of the R(G) function or the G theory. An important conclusion is that mixture models and Restricted Boltzmann Machines converge because SeMI is maximized, and Shannon’s MI is minimized, making information efficiency G/R close to 1. A potential opportunity is to simplify deep learning by using Gaussian channel mixture models for pre-training deep neural networks’ latent layers without considering gradients. It also discusses how the SeMI measure is used as the reward function (reflecting purposiveness) for reinforcement learning. The G theory helps interpret deep learning but is far from enough. Combining semantic information theory and deep learning will accelerate their development. (shrink)

Background Men with antisocial personality disorder show lifelong abnormalities in adaptive decision making guided by the weighing up of reward and punishment information. Among men with antisocial personality disorder, modifi cation of the behaviour of those with additional diagnoses of psychopathy seems particularly resistant to punishment. Methods We did a case-control functional MRI (fMRI) study in 50 men, of whom 12 were violent off enders with antisocial personality disorder and psychopathy, 20 were violent off enders with antisocial personality disorder (...) but not psychopathy, and 18 were healthy non-off enders. We used fMRI to measure brain activation associated with the representation of punishment or reward information during an event-related probabilistic response-reversal task, assessed with standard general linear-model-based analysis. Findings Offenders with antisocial personality disorder and psychopathy displayed discrete regions of increased activation in the posterior cingulate cortex and anterior insula in response to punished errors during the task reversal phase, and decreased activation to all correct rewarded responses in the superior temporal cortex. This finding was in contrast to results for off enders without psychopathy and healthy non-off enders. Interpretation Punishment prediction error signalling in off enders with antisocial personality disorder and psychopathy was highly atypical. This finding challenges the widely held view that such men are simply characterised by diminished neural sensitivity to punishment. Instead, this fi nding indicates altered organisation of the information processing system responsible for reinforcement learning and appropriate decision making. This difference between violent offenders with antisocial personality disorder with and without psychopathy has implications for the causes of these disorders and for treatment approaches. (shrink)

This study assessed students’ perception of teachers’ effectiveness and learning outcomes in mathematics and economics in secondary schools of Cross River State, Nigeria. Two null hypotheses were formulated to direct the study. The factorial research design was adopted for the study. Cluster and purposive sampling techniques were however employed in selecting a sample of 1,800 students from the three education zones in Cross River State. “Students’ Perception of Teachers Effectiveness Questionnaire (SPTEQ)”, Mathematics Achievement Test (MAT), and Economics Achievement Test (...) (EAT) were used as instruments for data collection. Reliability estimates of .86, .91, and .81 were obtained for the three instruments using Cronbach alpha. Collected data were analysed using descriptive statistics while the research question was answered and the null hypothesis tested using Pearson Correlation matrix and multiple regression analyses (where applicable), with the aid of Minitab v18. Findings revealed amongst others that, there is a significant composite influence of students’ perception of teachers’ motivational skills, teaching methods, relationship with students, and communication level on learning outcomes in Mathematics (F = 142.46, p < .05) and Economics (F = 150.31, p < .05) respectively. It was recommended amongst others that secondary school teachers should adopt motivational techniques such as praises, rewards, and smiles, in strengthening the interest of learners during mathematics and Economics lessons. Keywords:. (shrink)

The amygdala is a crucial brain region responsible for emotional processing and fear conditioning and learning. The major classes of neuroreceptors and pathways present in this region are significantly engaged in such functions that extend to memory associations, cognition, appraisal and responsiveness to emotional and fearful stimuli. There is evidence of a rich integration of neurofunctions and connection with the rest of the human physiological system. Gender differences in amygdala reactivity to stimuli are also discussed to aid understanding of (...) external factors that may play a role in causation of such differences. (shrink)

The so-called Baldwin Effect generally says how learning, as a form of ontogenetic adaptation, can influence the process of phylogenetic adaptation, or evolution. This idea has also been taken into computation in which evolution and learning are used as computational metaphors, including evolving neural networks. This paper presents a technique called evolving self-taught neural networks – neural networks that can teach themselves without external supervision or reward. The self-taught neural network is intrinsically motivated. Moreover, the self-taught neural (...) network is the product of the interplay between evolution and learning. We simulate a multi-agent system in which neural networks are used to control autonomous agents. These agents have to forage for resources and compete for their own survival. Experimental results show that the interaction between evolution and the ability to teach oneself in self-taught neural networks outperform evolution and self-teaching alone. More specifically, the emergence of an intelligent foraging strategy is also demonstrated through that interaction. Indications for future work on evolving neural networks are also presented. (shrink)

Interactions between an intelligent software agent and a human user are ubiquitous in everyday situations such as access to information, entertainment, and purchases. In such interactions, the ISA mediates the user’s access to the content, or controls some other aspect of the user experience, and is not designed to be neutral about outcomes of user choices. Like human users, ISAs are driven by goals, make autonomous decisions, and can learn from experience. Using ideas from bounded rationality, we frame these interactions (...) as instances of an ISA whose reward depends on actions performed by the user. Such agents benefit by steering the user’s behaviour towards outcomes that maximise the ISA’s utility, which may or may not be aligned with that of the user. Video games, news recommendation aggregation engines, and fitness trackers can all be instances of this general case. Our analysis facilitates distinguishing various subcases of interaction, as well as second-order effects that might include the possibility for adaptive interfaces to induce behavioural addiction, and/or change in user belief. We present these types of interaction within a conceptual framework, and review current examples of persuasive technologies and the issues that arise from their use. We argue that the nature of the feedback commonly used by learning agents to update their models and subsequent decisions could steer the behaviour of human users away from what benefits them, and in a direction that can undermine autonomy and cause further disparity between actions and goals as exemplified by addictive and compulsive behaviour. We discuss some of the ethical, social and legal implications of this technology and argue that it can sometimes exploit and reinforce weaknesses in human beings. (shrink)

Inspired by recent progress in multi-agent Reinforcement Learning (RL), in this work we examine the collective intelligent behaviour of theoretical universal agents by introducing a weighted mixture operation. Given a weighted set of agents, their weighted mixture is a new agent whose expected total reward in any environment is the corresponding weighted average of the original agents' expected total rewards in that environment. Thus, if RL agent intelligence is quantified in terms of performance across environments, the weighted mixture's (...) intelligence is the weighted average of the original agents' intelligences. This operation enables various interesting new theorems that shed light on the geometry of RL agent intelligence, namely: results about symmetries, convex agent-sets, and local extrema. We also show that any RL agent intelligence measure based on average performance across environments, subject to certain weak technical conditions, is identical (up to a constant factor) to performance within a single environment dependent on said intelligence measure. (shrink)

Where do values live in thought? A straightforward answer is that we (or our brains) make decisions using explicit value representations which are our values. Recent work applying reinforcement learning to decision-making and planning suggests that more specifically, we may represent both the instrumental expected value of actions as well as the intrinsic reward of outcomes. In this paper, I argue that identifying value with either of these representations is incomplete. For agents such as humans and other animals, (...) there is another place where reward can be located in thought: the division of the space of possibilities or ‘state space’. (shrink)

Curiosity is evident in humans of all sorts from early infancy, and it has also been said to appear in a wide range of other animals, including monkeys, birds, rats, and octopuses. The classical definition of curiosity as an intrinsic desire for knowledge may seem inapplicable to animal curiosity: one might wonder how and indeed whether a rat could have such a fancy desire. Even if rats must learn many things to survive, one might expect their learning must be (...) driven by simpler incentives, such as hunger. One might also wonder what proximal signals could guide animals towards knowledge itself, or how something as abstract as knowledge could ever be a motivational target for an unreflective animal. Taking a cue from recent work in reinforcement learning, I argue that surprise functions as a reward signal for the curious animal, and then show how this amounts to a desire for knowledge gain, where knowledge is conceived of as a cognitive adaptation to reality. This adaptation results in a mental state whose existence depends essentially on the truth of its contents, a factive mental state. Curious creatures benefit from an interaction between the prediction-error correction processes of basic learning and the active surprise-seeking force of their curiosity. This internally adversarial interaction accelerates knowledge gain in ways that are very helpful for agents with the restrictions of biological creatures, in environments with the complexity of our natural world. (shrink)

Some worry that advanced artificial agents may resist being shut down. The Incomplete Preferences Proposal (IPP) is an idea for ensuring that doesn't happen. A key part of the IPP is using a novel 'Discounted REward for Same-Length Trajectories (DREST)' reward function to train agents to (1) pursue goals effectively conditional on each trajectory-length (be 'USEFUL'), and (2) choose stochastically between different trajectory-lengths (be 'NEUTRAL' about trajectory-lengths). In this paper, we propose evaluation metrics for USEFULNESS and NEUTRALITY. We (...) use a DREST reward function to train simple agents to navigate gridworlds, and we find that these agents learn to be USEFUL and NEUTRAL. Our results thus suggest that DREST reward functions could also train advanced agents to be USEFUL and NEUTRAL, and thereby make these advanced agents useful and shutdownable. (shrink)

‘...if you learn to think like Peter Cave – with freshness, humour, objectivity and penetration – you will have been amply rewarded.’ :::: Prof. Felipe Fernandez-Armesto, University of Notre Dame __________________ Chapter Titles:>>> ___ 1 Lao Tzu: The Way to Tao >>> 2 Sappho: Lover >>> 3 Zeno of Elea: Tortoise Backer, Parmenidean Helper >>> 4 Gadfly: aka ‘Socrates’ >>> 5 Plato: Charioteer, Magnificent Footnote Inspirer – ‘Nobody Does It Better’ >>> 6 Aristotle: Earth-Bound, Walking >>> 7 Epicurus: Gardener, Curing (...) the Soul, Ably Assisted by Lucretius >>> 8 Avicenna: Flying Man, Unifier >>> 9 Descartes: With Princess, With Queen >>> 10 Spinoza: God-Intoxicated Atheist >>> 11 Leibniz: Monad Man >>> 12 Bishop Berkeley, ‘That Paradoxical Irishman’: Immaterialist, Tar-Water Advocate >>> 13 David Hume: The Great Infidel or Le Bon David >>> 14 Kant: Duty Calls, Categorically >>> 15 Schopenhauer: Pessimism With Flute >>> 16 John Stuart Mill: Utility Man, With Harriet, Soul-Mate >>> 17 Søren Kierkegaard: Who? >>> 18 Karl Marx: Hegelian, Freedom-Fighter >>> 19 Lewis Carroll: Curiouser and Curiouser >>> 20 Nietzsche: God-Slaying Jester, Trans-Valuer >>>> 21 Bertrand Russell: Radical, Aristocrat >>> 22 G. E. Moore: Common-Sense Defender, Bloomsbury’s Sage >>> 23 Heidegger: Hyphenater >>> 24 Jean-Paul Sartre: Existentialist, Novelist, French >>> 25 Simone Weil: Refuser and Would-Be Rescuer >>> 26 Simone de Beauvoir: Situated, Protester, Feminist >>> 27 Ludwig Wittgenstein: Therapist >>> 28 Hannah Arendt: Controversialist, Journalist? >>> 29 Iris Murdoch: Attender >>> 30 Samuel Beckett: Not I >>>. (shrink)

I explain and motivate the shutdown problem: the problem of creating artificial agents that (1) shut down when a shutdown button is pressed, (2) don’t try to prevent or cause the pressing of the shutdown button, and (3) otherwise pursue goals competently. I then propose a solution: train agents to have incomplete preferences. Specifically, I propose that we train agents to lack a preference between every pair of different-length trajectories. I suggest a way to train such agents using reinforcement (...) class='Hi'>learning: we give the agent lower reward for repeatedly choosing same-length trajectories. (shrink)

This chapter introduces some central issues in Epistemology, and, like others in the open textbook series Introduction to Philosophy, is set up for rewarding college classroom use, with discussion/reflection questions matched to clearly-stated learning objectives,, a brief glossary of the introduced/bolded terms/concepts, links to further open source readings as a next step, and a readily-accessible outline of the classic between William Clifford and William James over the "ethics of belief." The chapter introduces questions of epistemic value through Plato's famous (...) example of the 'road to Larissa,' and goes on to explain work on doxastic responsibility, on intellectual “virtue”/“vice,” and on epistemic value monism vs. pluralism. Section 1; Epistemic Value and the Value Problem; Section 2: The Ethics of Belief; Section 3: Virtue & Vice Epistemologies; Section 4: Epistemic Paternalism. (shrink)

Virtue ethics has many times been suggested as a promising recipe for the construction of artificial moral agents due to its emphasis on moral character and learning. However, given the complex nature of the theory, hardly any work has de facto attempted to implement the core tenets of virtue ethics in moral machines. The main goal of this paper is to demonstrate how virtue ethics can be taken all the way from theory to machine implementation. To achieve this goal, (...) we critically explore the possibilities and challenges for virtue ethics from a computational perspective. Drawing on previous conceptual and technical work, we outline a version of artificial virtue based on moral functionalism, connectionist bottom–up learning, and eudaimonic reward. We then describe how core features of the outlined theory can be interpreted in terms of functionality, which in turn informs the design of components necessary for virtuous cognition. Finally, we present a comprehensive framework for the technical development of artificial virtuous agents and discuss how they can be implemented in moral environments. (shrink)

Many recent AI systems take inspiration from biological episodic memory. Here, we ask how these ‘episodic-inspired’ AI systems might inform our understanding of biological episodic memory. We discuss work showing that these systems implement some key features of episodic memory whilst differing in important respects, and appear to enjoy behavioural advantages in the domains of strategic decision-making, fast learning, navigation, exploration and acting over temporal distance. We propose that these systems could be used to evaluate competing theories of episodic (...) memory’s operations and function. However, further work is needed to validate them as models of episodic memory and isolate the contributions of their memory systems to their behaviour. More immediately, we propose that these systems have a role to play in directing episodic memory research by highlighting novel or neglected hypotheses as pursuit-worthy. In this vein, we propose that the evidence reviewed here highlights two pursuit-worthy hypotheses about episodic memory’s function: that it plays a role in planning that is independent of future-oriented simulation, and that it is adaptive in virtue of its contributions to fast learning in novel, sparse-reward environments. (shrink)

Information and communication technologies (ICTs) are building a new habitat (infosphere) in which future generations, living in advanced information societies, will spend an increasing amount of time. This paper introduces a series of articles that explore what constitutes a personal identity online (PIO) and how, as well as to what extent, individuals can learn to create, manage and perceive their PIOs in order to facilitate a healthy and rewarding online experience (onlife).

The journal of Cognitive Computation is defined in part by the notion that biologically inspired computational accounts are at the heart of cognitive processes in both natural and artificial systems. Many studies of various important aspects of cognition (memory, observational learning, decision making, reward prediction learning, attention control, etc.) have been made by modelling the various experimental results using ever-more sophisticated computer programs. In this manner progressive inroads have been made into gaining a better understanding of the (...) many components of cognition. Concomitantly in both science and science fiction the hope is periodically re-ignited that a manmade system can be engineered to be fully cognitive and conscious purely in virtue of its execution of an appropriate computer program. However, whilst the usefulness of the computational metaphor in many areas of psychology and neuroscience is clear, it has not gone unchallenged and in this article I will review a group of philosophical arguments that suggest either such unequivocal optimism in computationalism is misplaced—computation is neither necessary nor sufficient for cognition—or panpsychism (the belief that the physical universe is fundamentally composed of elements each of which is conscious) is true. I conclude by highlighting an alternative metaphor for cognitive processes based on communication and interaction. (shrink)

Although virtue ethics has repeatedly been proposed as a suitable framework for the development of artificial moral agents, it has been proven difficult to approach from a computational perspective. In this work, we present the first technical implementation of artificial virtuous agents in moral simulations. First, we review previous conceptual and technical work in artificial virtue ethics and describe a functionalistic path to AVAs based on dispositional virtues, bottom-up learning, and top-down eudaimonic reward. We then provide the details (...) of a technical implementation in a moral simulation based on a tragedy of the commons scenario. The experimental results show how the AVAs learn to tackle cooperation problems while exhibiting core features of their theoretical counterpart, including moral character, dispositional virtues, learning from experience, and the pursuit of eudaimonia. Ultimately, we argue that virtue ethics provides a compelling path toward morally excellent machines and that our work provides an important starting point for such endeavors. (shrink)

Direct reciprocity, indirect reciprocity, and reputation are important interrelated topics in the evolution of sociality. This non-mathematical review is a summary of each. Direct reciprocity (the positive kind) has a straightforward structure (e.g., "A rewards B, then rewards A") but the allocation might differ from the process that enabled it (e.g., whether it is true reciprocity or some form of mutualism). Indirect reciprocity (the positive kind) occurs when person (B) is rewarded by a third party (A) after doing a good (...) deed towards somebody else (C) — with the structure "A observes B help C, therefore A helps B." Here too, the allocation differs from the process: if there is underlying cognition, then indirect reciprocity is based on some ability to keep track of the reputations of others (to remember that "B helped C"). Reputation is a kind of social impression based on typicality, derived from three channels of experience (direct encounters, bystander observation, and gossip). Although non-human animals cannot gossip verbally, they can eavesdrop on third parties and learn vicariously. This paper ends with a proposal to investigate the topic of social expertise as a model for understanding how animals understand and utilise observed information within their social groups. (shrink)

The inclusion of attendance and participation in course grade calculations is ubiquitous in postsecondary syllabi, but can penalize the silent or anxious student unfairly. I outline the obstacles posed by social anxiety, then describe an assignment developed with the twin goals of assisting students with obstacles to participating in spoken class discussions, and rewarding methods of participation other than oral interaction. When homework assignments habituating practices of writing well-justified questions regarding well-documented passages in reading assignments are the explicit project of (...) weekly class meetings, participation increases on the part of all students. My focus shifted away from concern that I must get students to talk more, and turned instead to ensuring their marks reflected their learning rather than their speaking. Students’ improved engagement as a result of the assignment bears out evidence in the literature for active learning and for alternatives to taking attendance and quantifying participation. (shrink)

This paper examines the experiences of a group of values education teachers who are studying in a customized scholarship and online graduate program under the Linking Standards and Quality Practice (LiSQuP) project in the Philippines. It aimed to explore the attitudes, benefits, and challenges encountered by the values education teachers by participating in the LiSQuP program. Embedded single case study research design was used, and qualitative content analysis was utilized for analyzing and interpreting the data. Recorded focus group interview, online (...) survey documents, observations, and participatory contact were used to obtain the data from the 30 participants who are LiSQuP scholars and teachers of values education in the public schools of the Philippines. Based on the findings of the study, the following results were drawn: 1) The participants exhibited adaptive and positive attitude towards the LiSQuP program; 2) The participants benefited from the program in terms of professional and personal development; and 3) The participants struggled with various factors related to time, program design, and personal traits. The rewarding and challenging experiences of the participants in this study May inform the project management team and other higher education institutions with similar online programs to enhance opportunities for a more responsive and collaborative online learning community for diverse graduate distance learners. (shrink)

In 1 Peter 1:3-7 we read that the Christians were facing persecution because of their faith and the author reminds them that every trial is a test of their faith. The trials and consequential suffering can be withstood because they are able to look forward to an inheritance – eternal life with God. Christians can endure all trials and suffering because of the hope of glory and ultimate joy. There is a grace afforded by God in the presence to match (...) whatever trial or suffering they might face. Thus it appears that there is both a purpose – one being the testing, transforming and purifying of one’s faith and a great prize for those who endure suffering – the Lord himself rewarding us. It is with this thought I will end this essay - with this belief of an inheritance, a resurrection and the gift of immortality. However, I will not shun asking the difficult questions, nor will I avoid critical reflection and analysis of a number of the contradictory or unpleasant answers. I will not eschew the lack of answers relating to evil and suffering – the pains of the scourges of poverty, persecution and oppression, the ravages of war and natural disasters, and all the inequity and injustice that has fallen throughout history – often on the innocent. This wickedness and agony that has throughout history indiscriminately befallen Christians and non-believers alike, has initiated great dismay, depression and consternation for many and some have even rejected the concept of God and the Gospel because of the malevolence and affliction they have been subjected to. The horrendous profundity and extent of human suffering and the history of the inhumanity of people makes the idea of a loving Creator seem quite implausible and predisposes many to accept a naturalistic theory of religion. At the end of this essay I will attempt to show that the declarations that the writer of 1 Peter makes concerning the Christian’s inheritance and suffering proffers some expectation for those who are faced with the quandary of evil and offer some hope now to enable them to endure whatever life has thrown onto their journey. Whilst I will with candour endeavour to query the issues and questions relating to evil I am conscious of the fact that many books and essays have been written by vastly more erudite authors. Consequently I acknowledge that what I have to say is ultimately nothing more than the personal reflection birthed in my own life’s experiences and learning. (shrink)

“ A man orders a whole pizza pie for himself and is asked whether he would like it cut into eight or four slices. He responds, ‘Four, I’m on a diet ”’ (Noël Carroll) -/- While not hilarious --so funny that it induces chortling punctuated with outrageous vomiting--this little gem is amusing. We recognize that something has gone wrong. On a first reading it might not compute, something doesn’t quite make sense. Then, aha! , we understand the hapless dieter has (...) misapplied general rules of thumb, mental short-cuts, or heuristics, that we were also initially committed to and that would usually be good enough to rely upon— fewer slices equals fewer calories; diets require fewer calories, etc—but in this particular case they fail, and the feeling of mirth is our reward for making this discovery. We don’t say all of that after a punchline, of course, but that’s what is happening according to the Humor as Error-Detection Theory : our sense of humor can sense our errors. This chapter will focus on the overlap and benefits of a humorous and philosophical attitude toward the world and our place in it. The historian of philosophy Will Durant tells us that genuine philosophy begins when one learns to doubt; we can say something similar with humor--trust me. (shrink)

THE PURPOSE OF OUR LIVES is to undergo a gradual transformation. We are born with a self-centered nature, but we can acquire a nature in which the focus is on the other. Through spiritual work, we can slowly learn to overcome our innate desire to find some form of self-gratification in all we do. Union with God is the result of desiring to give to others with no interest in reward of any kind. This is the essential teaching of (...) the Kabbalah as portrayed in these essays by Baal Hasulam. Rabbi Gottlieb’s commentary adds details on the winding road toward spiritual transformation. (shrink)

Student evaluations of teaching (SETs) have been used, researched, and debated for many decades. It is a common practice in higher education institutions, with the supposed purpose of improving course quality and effectiveness, but with unintended consequences of encouraging and motivating poor teaching and causing grade inflation. There is strong evidence that SET “effectiveness” does not measure teaching effectiveness. This paper reviews empirical research examining common concerns about the usefulness (positive and negative) and accuracy of SETs. The findings reveal that (...) student satisfaction relates to their anticipated/expected grades in their courses; hence, they want to get good grades and their instructors want to get a good rating of SET, and this results in grade inflation. The key points are that SETs (1) allow students to speak their “mind”, (2) have no compelling correlation between quality of teaching and learning effectiveness, (3) reward easy, less demanding, and lazy teachers with a positive rating, (4) are biased against gender, attractiveness, ethnicity, race, etc., (5) are weaponized against “some” faculty members, and (6) are like asking convicts awaiting sentencing to evaluate the judge or jurors who convicted them. (shrink)

Your perception of reality is not reality itself. The lens through which you view the world―your unique perspective―shapes everything you experience. But how do perception and perspective interact? And how can understanding their subtle differences empower you to live a more examined and meaningful life? In this book, we'll explore the cognitive processes forming the human experience's foundation. Through compelling case studies and exercises, we'll illustrate how our perceptions are sculpted beginning in childhood by innate biases and environmental influences outside (...) our control, and how perspective, the position from which we observe, retains potential for growth if we cultivate mindfulness and open-mindedness. Learning to distinguish perception from perspective is the first step to recognizing unconscious patterns and enlarging our sphere of thought. This journey of self-discovery is challenging but rewarding. Within these pages, you will find a map to reclaiming ownership over your internal and external worlds. The choice to see more clearly has never been more urgent or liberating. (shrink)

Emotion is conscious experience. It is the affective aspect of consciousness. Emotion arises from sensory stimulation and is typically accompanied by physiological and behavioral changes in the body. Hence an emotion is a complex reaction pattern consisting of three components: a physiological component, a behavioral component, and an experiential (conscious) component. The reactions making up an emotion determine what the emotion will be recognized as. Three processes are involved in generating an emotion: (1) identification of the emotional significance of a (...) sensory stimulus, (2) production of an affective state (emotion), and (3) regulation of the affective state. Two opposing systems in the brain (the reward and punishment systems) establish an affective value or valence (stimulus-reinforcement association) for sensory stimulation. This is process (1), the first step in the generation of an emotion. Development of stimulus-reinforcement associations (affective valence) serves as the basis for emotion expression (process 2), conditioned emotion learning acquisition and expression, memory consolidation, reinforcement-expectations, decision-making, coping responses, and social behavior. The amygdala is critical for the representation of stimulus-reinforcement associations (both reward and punishment-based) for these functions. Three distinct and separate architectural and functional areas of the prefrontal cortex (dorsolateral prefrontal cortex, orbitofrontal cortex, anterior cingulate cortex) are involved in the regulation of emotion (process 3). The regulation of emotion by the prefrontal cortex consists of a positive feedback interaction between the prefrontal cortex and the inferior parietal cortex resulting in the nonlinear emergence of emotion. This positive feedback and nonlinear emergence represents a type of working memory (focal attention) by which perception is reorganized and rerepresented, becoming explicit, functional, and conscious. The explicit emotion states arising may be involved in the production of voluntary new or novel intentional (adaptive) behavior, especially social behavior. (shrink)

Digitalisation is attracting much scholarly attention at present. However, scholars often take its benefits for granted, overlooking the essential question: “Does digital technology make us better?” This paper aims to help fill this gap by examining digitalisation as a form of government (digitocracy) and the way it shapes a new kind of man: _animal digitalis_. I argue that the digitalised man is animal-like rather than machine-like. This man does not use efficient and cold machine-like language, but is rather emotionalised through (...) digital technology. If those who are ruled acted like machines, data would not be produced on a mass scale, and machine learning would stop learning. Digital man has animal features and is ruled by his brain’s reward system. We need to abandon this new form of government and the resulting man. To overcome digitalisation, we need a humanism that recovers the proper place of man over animals and artefacts, but maintains respect for the value of nature. (shrink)

Programming artificial intelligence to make fairness assessments of texts through top-down rules, bottom-up training, or hybrid approaches, has presented the challenge of defining cross-cultural fairness. In this paper a simple method is presented which uses vectors to discover if a verb is unfair or fair. It uses already existing relational social ontologies inherent in Word Embeddings and thus requires no training. The plausibility of the approach rests on two premises. That individuals consider fair acts those that they would be willing (...) to accept if done to themselves. Secondly, that such a construal is ontologically reflected in Word Embeddings, by virtue of their ability to reflect the dimensions of such a perception. These dimensions being: responsibility vs. irresponsibility, gain vs. loss, reward vs. sanction, joy vs. pain, all as a single vector. The paper finds it possible to quantify and qualify a verb as fair or unfair by calculating the cosine similarity of the said verb’s embedding vector against FairVec—which represents the above dimensions. We apply this to Glove and Word2Vec embeddings. Testing on a list of verbs produces an F1 score of 95.7, which is improved to 97.0. Lastly, a demonstration of the method’s applicability to sentence measurement is carried out. (shrink)

-/- Only this experience … -/- Thirty years ago a young British soldier found himself in a conflict in which Christians were killing Christians. When he protested that involving the Army would provoke more violence from both sides, his government ordered him into a military psychiatric hospital, to be treated - on arrival - for schizophrenia. Instead, the hospital staff found him perfectly sane. Meanwhile, under their observation, he had a spectacular spiritual experience. He had previously decided that God is (...) just a delusion. Here now was a perfect setting for a modern revelation: not only that God is an authentic human experience, but that it is very likely the human experience. Modern atheists are surely right to claim that God has little to do with biology - and physicists, that God little to do with physics. Yet without an understanding of what this intense and complex experience is actually like - and what cultural changes it can inspire - human history is virtually incomprehensible. When he was later training to become a maths teacher at Cambridge University in England, both philosophers and theologians urged him to find a way to express his inspiration through his teaching. He was soon a head of mathematics at one of England’s most prestigious international schools. There he realised that orthodox mathematics instruction does a great deal of moral and social harm - as well as being obviously ineffective. Mathematics should teach youngsters to think honestly, critically and constructively - even to accept other’s criticisms gladly. This is what democracy requires. But youngsters in schools are usually rewarded more for their dishonesty. They learn to resent others’ ability, to reject any criticism. These are major reasons why modern democracies fail. In the last century the same habits of teaching arguably handed power to Stalin and Hitler. Both called their politics ‘scientific’. Both savagely destroyed criticism and dissent. Both enjoyed popular support. These tendencies are active today. In 473959 he describes how his revelation became the foundation of his life - then of his teaching. He explains how teaching mathematics properly and effectively will preserve children’s natural honesty, encourage and support their natural desire to think, to understand and to treat others honestly. In this way, he believes, there is even a possibility of ending the ancient conflicts between Jews, Christians and Muslims: by combining the fundamental moral principles of their most famous exponents. -/- … makes understanding human history possible! (shrink)

This is a piece written for interdisciplinary audiences and contains very little philosophy. It looks into whether, or in what sense, pains and pleasures are emotions.

The desirable gambles framework offers the most comprehensive foundations for the theory of lower pre- visions, which in turn affords the most general ac- count of imprecise probabilities. Nevertheless, for all its generality, the theory of lower previsions rests on the notion of linear utility. This commitment to linearity is clearest in the coherence axioms for sets of desirable gambles. This paper considers two routes to relaxing this commitment. The first preserves the additive structure of the desirable gambles framework and (...) the machinery for coherent inference but detaches the interpretation of desirability from the multiplicative scale invariance axiom. The second strays from the additive combination axiom to accommodate repeated gambles that return rewards by a non-stationary processes that is not necessarily additive. Unlike the first approach, which is a conservative amendment to the desirable gambles framework, the second is a rad- ical departure. Yet, common to both is a method for describing rewards called discounted utility. (shrink)

Can an agent's intelligence level be negative? We extend the Legg-Hutter agent-environment framework to include punishments and argue for an affirmative answer to that question. We show that if the background encodings and Universal Turing Machine (UTM) admit certain Kolmogorov complexity symmetries, then the resulting Legg-Hutter intelligence measure is symmetric about the origin. In particular, this implies reward-ignoring agents have Legg-Hutter intelligence 0 according to such UTMs.

Deep learning algorithms are rapidly changing the way in which audiovisual media can be produced. Synthetic audiovisual media generated with deep learning—often subsumed colloquially under the label “deepfakes”—have a number of impressive characteristics; they are increasingly trivial to produce, and can be indistinguishable from real sounds and images recorded with a sensor. Much attention has been dedicated to ethical concerns raised by this technological development. Here, I focus instead on a set of issues related to the notion of (...) synthetic audiovisual media, its place within a broader taxonomy of audiovisual media, and how deep learning techniques differ from more traditional approaches to media synthesis. After reviewing important etiological features of deep learning pipelines for media manipulation and generation, I argue that “deepfakes” and related synthetic media produced with such pipelines do not merely offer incremental improvements over previous methods, but challenge traditional taxonomical distinctions, and pave the way for genuinely novel kinds of audiovisual media. (shrink)

Recent philosophical work has praised the reward structure of science, while recent empirical work has shown that many scientific results may not be reproducible. I argue that the reward structure of science incentivizes scientists to focus on speed and impact at the expense of the reproducibility of their work, thus contributing to the so-called reproducibility crisis. I use a rational choice model to identify a set of sufficient conditions for this problem to arise, and I argue that these (...) conditions plausibly apply to a wide range of research situations. Currently proposed solutions will not fully address this problem. Philosophical commentators should temper their optimism about the reward structure of science. (shrink)

In this paper, we raise and discuss a puzzle about the relationships among goods, reasons, and deontic status. Suppose you have it within your power to give someone something they would enjoy. The following claims seem platitudinous: you can use this power to reward whatever kind of option you want, thereby making that option better and generating a reason for that person to perform it; this reason is then weighed alongside and against the other reasons at play; and altogether, (...) the reasons determine the deontic statuses of that person’s options. We show, however, that in a certain class of cases at least one of these apparent platitudes must be false. In particular, we show that in a certain kind of case wrongfulness cannot be rewarded. In some cases, if one tries to reward wrongfulness, something surprising must go awry: either what you attempt to give as a reward would not, in fact, be good, or it would not generate a reason, or it would have a surprising effect on the deontic status of the relevant options. The upshot is that the relationships among goods, reasons, and deontic status are complicated in ways that have not previously been remarked. (shrink)

The cognitive penetrability of perceptual experiences has been a long-standing topic of disagreement among philosophers and psychologists. Although the notion of cognitive penetrability itself has also been under dispute, the debate has mainly focused on the cases in which cognitive states allegedly penetrate perceptual experiences. This paper concerns the plausibility of two prominent cases. The first one originates from Susanna Siegel’s claim that perceptual experiences can represent natural kind properties. If this is true, then the concepts we possess change the (...) way things appear to us. The second candidate for cognitive penetration is Fiona Macpherson’s claim that, in addition to concepts, our beliefs can penetrate perceptual experiences. It is argued that neither candidate is a case of cognitive penetration. In doing so, I provide an explanation to both that is based on perceptual learning, a non-cognitive phenomenon where relatively slow and long-lasting modifications to an organism’s perceptual system bring about changes in perception. This explanation is theoretically more plausible and remains closer to the empirical data than the explanations based on cognitive penetration. (shrink)

The research aims to identify the learning organizations and their role in achieving organizational excellence in the Palestinian universities in Gaza Strip. The researchers used descriptive analytical approach and used the questionnaire as a tool for information gathering. The questionnaires were distributed to senior management in the Palestinian universities. The study population reached (344) employees in senior management is dispersed over (3) Palestinian universities. A stratified random sample of (182) workers from the Palestinian universities was selected and the recovery (...) rate was (69.2%). Statistical analysis (SPSS) program was used for analysis and processing the data. The research found the following results: there is a fair degree of approval on "cognitive dimension", there is a high approval about the importance of "organizational dimension", there is moderately consent of the importance of "Community dimension", there is a large degree of consent about the importance of axis of the "leadership excellence", there is a large degree of consent about the importance of axis of the "service-excellence", there is a fair degree approval about the importance of the axis of "cognitive excellence", and there is a moderately consent of the importance of "Organizational Excellence". The research found a group of recommendations including: the need to develop appropriate strategies for the University, employ modern technology in information systems, in addition to provide appropriate environment that achieve learning organizations, develop technological infrastructure, adopt universities for knowledge management in the academic and administrative departments because knowledge is the core of the work of these departments, create technological incubators in universities to adopt excellence academic research projects, and protected them, support them, and market them. Establishing of centers of excellence for scientific research in the university.The need for cooperation and coordination between local, Arab and international universities for the exchange of knowledge, information, and participation programs and training courses, as it provides an opportunity to develop the capabilities and skills of personnel and expertise. (shrink)

Learner’s attitude towards modular distance learning catches uncertainties as a world crisis occurs up to this point. As self-learning modules (SLMs) become a supplemental means of learning in new normal education, this study investigated efficiency towards the learners’ attitude and performance. Specifically, the study described the learners’ profile and their attitude and performance towards SLMs. It also ascertained the relationship between the learner’s profile with their attitude and performance, as well as the relationship between attitude and performance (...) relevant to SLMs. A descriptive-correlational research design was employed in the study with 88 non-randomly chosen participants from secondary schools in West Philippines. The learners’ GWA (general weighted average) was used to determine their performance and a survey questionnaire for their profile and attitude. Frequency counts, percentage, and Spearman’s rank correlation coefficient were used to analyze the data gathered with the aid of Jamovi software. Results revealed a strong correlation between attitude and performance, but there was no link between learner’s attitude and performance as to the learner’s profile. It was affirmed that attitude is a compelling factor that is related with performance. Hence, this research has broader ramifications that can direct the Bureau of Learning Delivery to orient the module writers to further contextualize the learning materials that can compound learner’s disposition and academic performance. (shrink)

Extended and distributed cognition theories argue that human cognitive systems sometimes include non-biological objects. On these views, the physical supervenience base of cognitive systems is thus not the biological brain or even the embodied organism, but an organism-plus-artifacts. In this paper, we provide a novel account of the implications of these views for learning, education, and assessment. We start by conceptualising how we learn to assemble extended cognitive systems by internalising cultural norms and practices. Having a better grip on (...) how extended cognitive systems are assembled, we focus on the question: If our cognition extends, how should we educate and assess such extended cognitive systems? We suggest various ways to minimize possible negative effects of extending one’s cognition and to efficiently find and organise (online) information by adopting a virtue epistemology approach. Educational and assessment implications are foregrounded, particularly in the case of Danish students’ use of the Internet during exams. (shrink)

Perceptual experiences are not immediately responsive to reasons. You see a stick submerged in a glass of water as bent no matter how much you know about light refraction. Due to this isolation from reasons, perception is traditionally considered outside the scope of epistemic evaluability as justified or unjustified. Is perception really as independent from reasons as visual illusions make it out to be? I argue no, drawing on psychological evidence from perceptual learning. The flexibility of perceptual learning (...) is a way of responding to new epistemic reasons. The resulting perceptual experiences are epistemically evaluable as justified or unjustified. (shrink)

Suppose you have recently gained a disposition for recognizing a high-level kind property, like the property of being a wren. Wrens might look different to you now. According to the Phenomenal Contrast Argument, such cases of perceptual learning show that the contents of perception can include high-level kind properties such as the property of being a wren. I detail an alternative explanation for the different look of the wren: a shift in one’s attentional pattern onto other low-level properties. Philosophers (...) have alluded to this alternative before, but I provide a comprehensive account of the view, show how my account significantly differs from past claims, and offer a novel argument for the view. Finally, I show that my account puts us in a position to provide a new objection to the Phenomenal Contrast Argument. (shrink)

This study employs machine learning to predict diabetes using a Kaggle dataset with 13 features. Our three-layer model achieves an accuracy of 98.73% and an average error of 0.01%. Feature analysis identifies Age, Gender, Polyuria, Polydipsia, Visual blurring, sudden weight loss, partial paresis, delayed healing, irritability, Muscle stiffness, Alopecia, Genital thrush, Weakness, and Obesity as influential predictors. These findings have clinical significance for early diabetes risk assessment. While our research addresses gaps in the field, further work is needed to (...) enhance model generalizability. (shrink)