Evolution by Natural Selection: Darwin's Gift to Science and Religion

The argument-from-design, based on biological evidence, was elaborated by William Paley in his Natural Theology (1802). It was revived in the 1990s by several authors, with a new moniker, the theory of intelligent design. In The Origin of Species (1859), Darwin advanced a scientific explanation of the design of organisms: evolution by natural selection. Organisms are pervaded by imperfections, dysfunctions, cruelties, and even sadism. The theory of evolution accounts for these mishaps, by natural selection, so that they need not be attributed to God's explicit design. The theory of evolution by natural selection is Darwin's gift to religion, in addition to its centrality in biology.     

From Atheism to Theodicy to Intelligent Design: Responding to the Work of Francisco J. Ayala

This article responds to a few of the major themes found in the work of Francisco Ayala. The author praises Ayala for strongly challenging the assumptions of many contemporary atheists, like Richard Dawkins, who believe that the scientific method can be used in service of scientistic conclusions. The author then goes on to examine Ayala's understanding of the relationship between science and religion. Finally, the author asks critical questions about Ayala's contributions to the theodicy problem and the critique of Intelligent Design.     

Pre´cis of Heidegger,Language, and World-disclosure

It is argued that Heidegger should be seen as something of a Kantian Idealist. Like Kant, Heidegger distinguishes two standpoints (transcendental and empirical) which we can occupy when we ask the question whether natural things depend on us. He agrees with Kant that from the empirical or human standpoint we are justified in saying that natural things do not depend on us. But in contrast with Kant, Heidegger argues that from the transcendental standpoint we can say neither that natural things do depend on us, nor that they do not. His reasons for saying this, however, represent an attempt to rework both Kant's temporal idealism and his temporal interpretation of the concept of an object (which shows up in Heidegger as a temporal interpretation of being). Heidegger suggests that Kant was led astray into a transcendental idealism about natural entities, because he did not understand the implications of transcendental idealism about being.     

Cross-generational acceptance of and interest in advanced vehicle technologies: A nationwide survey

The number of older drivers on the roadways is increasing; at the same time, technology in the automotive environment is rapidly evolving. To investigate the potential impact of these converging changes, this study used a cross-generational approach to compare driver attitudes toward advanced automotive technologies. Approximately 1000 drivers between the ages of 18 and 85 located across the United States responded to a survey about their opinions regarding general technology, advanced in-vehicle technology, and near-horizon connected vehicle systems. Participant responses were categorized using a generational construct, sorting responses not only by age but by shared life experiences (e.g. economic circumstances, involvement in wartime activities, cultural movements, etc.). The oldest generation (the “Silent” generation) exhibited the least interest in and comfort with advanced technology, although they owned and used advanced in-vehicle technology at approximately the same rates as the two middle generations. The youngest generation (the “Millennial” generation) was most likely to be interested in and comfortable with technology, but was least likely to own vehicles with advanced technology. All participants expressed interest in safety-related connected vehicle systems, but less so in infotainment applications. Reservations regarding data security and system cost were shared across generations. These findings are framed in the context of an aging population with unique driving and vehicle needs, and provide information that may assist both with vehicle technology design aspects and the proposed large-scale implementation of connected vehicle systems, including considerations for seniors and emphasis on safety systems and data security.     

THE SEMANTIC STRUCTURE OF EVOLUTIONARY BIOLOGY AS AN ARGUMENT AGAINST INTELLIGENT DESIGN

Abstract. This paper examines the impact of two formalizations of evolutionary biology on the antiselectionist critiques of the Intelligent Design (ID) movement. It looks first at attempts to apply the syntactic framework of the physical sciences to biology in the twentieth century, and to their effect upon the ID movement. It then examines the more heuristic account of biological‐theory structure, namely, the semantic model. Finally, it concludes by advocating the semantic conception and emphasizing the problems that the semantic model creates for ID's negative and positive theses.     

Response interference under near-concurrent presentation of safety and non-safety information

The growing advent of Connected Vehicle Systems (CVS) is changing the information environment within the vehicle cab. As vehicles add the capability to receive data from the road infrastructure or share data with other vehicles, there is an expanding amount of safety and non-safety information from these systems with which the driver must contend. The information processing demands for the driver may become more complex, especially under conditions that present multiple information signals to the driver at the same time. To manage this complexity, the design of CVS will need to incorporate information management functions to prioritize information so as to be compatible with the processing capacity of the driver. The objective of this research was to examine the potential interference effect of non-safety critical information on driver responses to near concurrent, critical safety warnings. The study design was based on theory and evidence that there is a “bottle neck” in a human’s central processing of information, such that the processing of early signals (S1) in the environment may delay the response to a later signal (S2) until such time as the response to the first stimulus has been initiated. The results of the study suggest that there is the possibility that near concurrent presentation of safety and non-safety critical information may generate interference effects, but the combination of signal parameters (modality, timing) that are most likely to create this interference may be infrequent in most real world conditions. Future research should focus on the specific parameters that increase the probability of such interference. Such research would then provide a better estimate of the potential frequency of this interference and also guide the formulation of design guidelines to minimize this potential.     

A hybrid POMDP-BDI agent architecture with online stochastic planning and plan caching

This article presents an agent architecture for controlling an autonomous agent in stochastic, noisy environments. The architecture combines the partially observable Markov decision process (POMDP) model with the belief-desire-intention (BDI) framework. The Hybrid POMDP-BDI agent architecture takes the best features from the two approaches, that is, the online generation of reward-maximizing courses of action from POMDP theory, and sophisticated multiple goal management from BDI theory. We introduce the advances made since the introduction of the basic architecture, including (i) the ability to pursue and manage multiple goals simultaneously and (ii) a plan library for storing pre-written plans and for storing recently generated plans for future reuse. A version of the architecture is implemented and is evaluated in a simulated environment. The results of the experiments show that the improved hybrid architecture outperforms the standard POMDP architecture and the previous basic hybrid architecture for both processing speed and effectiveness of the agent in reaching its goals.     

Multiple pedagogical conversational agents to support learner-learner collaborative learning: Effects of splitting suggestion types

This study experimentally investigated the design of effective interactions using pedagogical conversational agents (PCAs) in a learner-learner collaborative learning activity. While dyads engaged in a concept explanation task (explaining the mechanism of computer processing), PCAs served as facilitators and provided metacognitive suggestions to better improve learning performance. Previous studies have shown that learners who received several types of suggestions from multiple PCAs were motivated to produce effective explanations; this study then further explored the effects of using multiple PCAs in different roles, providing different types of facilitation. It was predicted that by using two different PCAs to offer suggestions with a delay, learners may be able to process information more efficiently, for example by paying closer attention to each type of suggestion. To investigate this possibility, two types of facilitating content, namely provision of metacognitive suggestions and advice on effective coordination, were each implemented into two role-playing PCAs, named the “explanation adviser” and the “communication adviser” respectively. The results show that when learners used PCAs playing different roles and offering suggestions corresponding to these roles, learners generated explanations related to the suggestions and improved performance (efficacy of explanations) in several areas, including learning performance, for example better understanding the concept and becoming able to explain it using a greater range of technical words. This study shows empirically how multiple PCAs can be effectively designed to implement roles yielding different types of suggestions. The advantages of using such methods and implementing such functions of PCAs are further discussed.     

MetrIntMeas a novel metric for measuring the intelligence of a swarm of cooperating agents

We propose a novel metric called MetrIntMeas (Metric for the Intelligence Measuring) for an accurate and robust measurement of the difficult problem-solving intelligence of a swarm system. The metric allows the classification if a swarm system belongs to the same class with the systems which have a specific reference intelligence value. For proving the efficiency of the proposed metric we realized a case study on a swarm system specialized in solving a NP-hard problem. As an application of the proposed metric, we present the measurement of the swarm systems’ evolution in intelligence. We gave a new definition to the intelligent evolving systems. The evolution of intelligent systems can be verified using the proposed MetrIntMeas metric.