抗原变异可使得多种致病微生物易于逃避宿主免疫应答。表达在感染红细胞表面的恶性疟原虫红细胞表面蛋白1（PfPMP1）与感染红细胞、内皮细胞、树突状细胞以及胎盘的单个或多个受体作用，在黏附及免疫逃避中起关键的作用。每个单倍体基因组var基因家族编码约60种成员，通过启动转录不同的var基因变异体为抗原变异提供了分子基础。

疟原虫var基因转换速率变化导致抗原变异[英]／Paul H, Robert P, Christodoulou Z, et al//Proc Natl Acad Sci U S A

Background on genetic algorithms, LISP, and genetic programming hierarchical problem-solving introduction to automatically-defined functions - the two-boxes problem problems that straddle the breakeven point for computational effort Boolean parity functions determining the architecture of the program the lawnmower problem the bumblebee problem the increasing benefits of ADFs as problems are scaled up finding an impulse response function artificial ant on the San Mateo trail obstacle-avoiding robot the minesweeper problem automatic discovery of detectors for letter recognition flushes and four-of-a-kinds in a pinochle deck introduction to biochemistry and molecular biology prediction of transmembrane domains in proteins prediction of omega loops in proteins lookahead version of the transmembrane problem evolutionary selection of the architecture of the program evolution of primitives and sufficiency evolutionary selection of terminals evolution of closure simultaneous evolution of architecture, primitive functions, terminals, sufficiency, and closure the role of representation and the lens effect Appendices: list of special symbols list of special functions list of type fonts default parameters computer implementation annotated bibliography of genetic programming electronic mailing list and public repository

Genetic Programming: On the Programming of Computers by Means of Natural Selection

This paper presents a theoretical model of situation awareness based on its role in dynamic human decision making in a variety of domains. Situation awareness is presented as a predominant concern in system operation, based on a descriptive view of decision making. The relationship between situation awareness and numerous individual and environmental factors is explored. Among these factors, attention and working memory are presented as critical factors limiting operators from acquiring and interpreting information from the environment to form situation awareness, and mental models and goal-directed behavior are hypothesized as important mechanisms for overcoming these limits. The impact of design features, workload, stress, system complexity, and automation on operator situation awareness is addressed, and a taxonomy of errors in situation awareness is introduced, based on the model presented. The model is used to generate design implications for enhancing operator situation awareness and future directio...

Toward a Theory of Situation Awareness in Dynamic Systems

How do people know as much as they do with as little information as they get? The problem takes many forms; learning vocabulary from text is an especially dramatic and convenient case for research. A new general theory of acquired similarity and knowledge representation, latent semantic analysis (LSA), is presented and used to successfully simulate such learning and several other psycholinguistic phenomena. By inducing global knowledge indirectly from local co-occurrence data in a large body of representative text, LSA acquired knowledge about the full vocabulary of English at a comparable rate to schoolchildren. LSA uses no prior linguistic or perceptual similarity knowledge; it is based solely on a general mathematical learning method that achieves powerful inductive effects by extracting the right number of dimensions (e.g., 300) to represent objects and contexts. Relations to other theories, phenomena, and problems are sketched.

/pdf/a-solution-to-plato-s-problem-the-latent-semantic-analysis-4jfk7ozfms.pdf

A Solution to Plato's Problem: The Latent Semantic Analysis Theory of Acquisition, Induction, and Representation of Knowledge.

This paper investigates the mechanisms through which organizations develop dynamic capabilities, defined as routinized activities directed to the development and adaptation of operating routines. It addresses the role of (1) experience accumulation, (2) knowledge articulation, and (3) knowledge codifi- cation processes in the evolution of dynamic, as well as operational, routines. The argument is made that dynamic capabilities are shaped by the coevolution of these learning mechanisms. At any point in time, firms adopt a mix of learning behaviors constituted by a semiautomatic accumulation of experience and by deliberate investments in knowledge articulation and codification activities. The relative effectiveness of these capability-building mechanisms is analyzed here as contingent upon selected features of the task to be learned, such as its frequency, homogeneity, and degree of causal ambiguity. Testable hypotheses about these effects are derived. Somewhat counterintuitive implications of the analysis include the relatively superior effectiveness of highly deliberate learning processes such as knowledge codification at lower levels of frequency and homogeneity of the organizational task, in contrast with common managerial practice.

/pdf/deliberate-learning-and-the-evolution-of-dynamic-5arbwdsius.pdf

Deliberate Learning and the Evolution of Dynamic Capabilities

Two psychologists, a computer scientist, and a philosopher have collaborated to present a framework for understanding processes of inductive reasoning and learning in organisms and machines. Theirs is the first major effort to bring the ideas of several disciplines to bear on a subject that has been a topic of investigation since the time of Socrates. The result is an integrated account that treats problem solving and induction in terms of rule-based mental models. Induction is included in the Computational Models of Cognition and Perception Series. A Bradford Book.

Induction: Processes of Inference, Learning, and Discovery

https://onlinelibrary.wiley.com/doi/pdf/10.1207/s15516709cog1303_1

Analogical mapping by constraint satisfaction

Part 1 First steps: a bird's backyard analogic from Socrates to Velcro and Vietnam indirect communication ripples in the air creative connections overview. Part 2 Breaking loose: funes in chains from reacting to thinking similarity structure models purpose and cause summary. Part 3 The analogical ape: sameness what Sarah thinks how thought evolved the analogies of apes the invention of problems hitting the wall summary. Part 4 The analogical child: Lori's magic carpet toward system mapping first relations early relational mapping personification the next steps summary. Part 5 The construction of similarity: making Saddam into Hitler the tumour and the fortress selection mapping evaluation learning summary. Part 6 What is to be done?: Howard's dilemma coherent decisions houses and baseball players courtroom analogies lessons of the past no more Vietnams summary. Part 7 Wondering why: gods like us Plato's cave designing the world other minds intuition pumps Asian analogies summary. Part 8 The analogical scientist: great scientific analogies purposes cognitive mechanisms social sciences invention and design lessons summary. Part 9 The web of culture: the Japanese tea ceremony Star Trek and the hidden paths what is metaphor? the analogical basis metaphorical extensions laughter and love analogy as therapy making magic summary. Part 10 The analogical computer: looking backward the computational mind parallel constraint satisfaction mapping retrieval the competition the future of analogy.

Paul Thagard

Papers

Induction: Processes of Inference, Learning, and Discovery

Induction: Processes of Inference, Learning, and Discovery

Analogical mapping by constraint satisfaction

Mental Leaps: Analogy in Creative Thought

Explanatory coherence