約 5,685,048 件
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1411 Calling Extraterrestrial Intelligence Again 問題 http //acm.pku.edu.cn/JudgeOnline/problem?id=1411 解答例 昔Cで書いたプログラムを書き換えたものなので汚いです． import java.util.*; public class Main{ public static void main(String[] args){ Scanner sc = new Scanner(System.in); int[] prm = new int[20000]; makePNTable(prm); while(true){ int m = sc.nextInt(); int a = sc.nextInt(); int b = sc.nextInt(); if(m==0 a==0 b==0) break; int i; for(i=0;prm[i]*prm[i] =m;i++){ //do nothing } int pi,qi,mpi,mqi; pi = qi = mpi = mqi = i-1; int max = prm[mpi] * prm[mqi]; while(b*prm[pi] =a*prm[qi]){ if(prm[qi]*prm[pi] =m){ qi++; if(prm[qi]*prm[pi] =m){ if(prm[qi]*prm[pi] max b*prm[pi] =a*prm[qi]){ mpi = pi; mqi = qi; max = prm[pi] * prm[qi]; } } } else{ if(pi==0) break; pi--; if(prm[qi]*prm[pi] =m){ if(prm[qi]*prm[pi] max b*prm[pi] =a*prm[qi]){ mpi = pi; mqi = qi; max = prm[pi] * prm[qi]; } } } } System.out.println(prm[mpi]+" "+prm[mqi]); } } /* make list of Prime Numbers size = 50000 */ private static void makePNTable(int[] p){ int i,j,k; int flag ; k = 0; p[k++] = 2; for(i=3;i 50000;i+=2){ flag = 0; for(j=0;(p[j]*p[j]) =i;j++){ if(i % p[j] == 0){ flag = 1; break; } } if(flag == 0){ p[k++] = i; } } } }
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Tier1 スキル 効果 その他 Intelligence (Level 1) Base Sign Intensity +10% Bronze Talentが必要 Unlocks level 2 Signs Potion Brewing ポーションの作成が可能になります Story-based ability Geraltが酔った状態時のみ効果を発揮 Rising Moon Sign Intensity +100% Story-based ability 月が出ている時だけ効果を発揮 Tier2 スキル 効果 その他 Intelligence (Level 2) Base Sign Intensity +10% Bronze Talentが必要 Unlocks level 3 Signs Herbalism ハーブの識別と採集が可能になります Bronze Talentが必要 Monster Lore Provides knowledge about selected, not yet encountered monsters. Bronze Talentが必要 Oil Preparation オイルを作ることが可能になります Bronze Talentが必要 Tier3 スキル 効果 その他 Intelligence (Level 3) Base Sign Intensity +20% Silver Talentが必要 Unlocks level 4 Signs Cleansing RItual パワースポットでポーション毒を解毒できるようになります Silver Talentが必要 Ingredient Extraction Increases chance of extracting ingredients from both herb plants and defeated foes Silver Talentが必要 Bomb Preparation 爆弾の作成が可能になります Silver Talentが必要 Tier4 スキル 効果 その他 Intelligence (Level 4) Base Sign Intensity +20% Silver Talentが必要 Unlocks level 5 Signs Focus Sign duration +25% Silver Talentが必要 Life Ritual Enables performance of Life Ritual in Places of Power Silver Talentが必要 Magic Frenzy Sign Intensity +25% Silver Talentが必要 Geraltの体力が25%以下の時に効果を発揮 Tier5 スキル 効果 その他 Intelligence (Level 5) Base Sign Intensity +40% Gold Talentが必要 Mental Endurance Endurance consumed when casting Sings -25% Gold Talentが必要 Intensity Sign Intensity +20% Gold Talentが必要
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Tier1 スキル 効果 その他 Intelligence (Level 1) Base Sign Intensity +10% Bronze Talentが必要 Unlocks level 2 Signs Potion Brewing ポーションの作成が可能になります Story-based ability Geraltが酔った状態時のみ効果を発揮 Rising Moon Sign Intensity +100% Story-based ability 月が出ている時だけ効果を発揮 Tier2 スキル 効果 その他 Intelligence (Level 2) Base Sign Intensity +10% Bronze Talentが必要 Unlocks level 3 Signs Herbalism ハーブの識別と採集が可能になります Bronze Talentが必要 Monster Lore Provides knowledge about selected, not yet encountered monsters. Bronze Talentが必要 Oil Preparation オイルを作ることが可能になります Bronze Talentが必要 Tier3 スキル 効果 その他 Intelligence (Level 3) Base Sign Intensity +20% Silver Talentが必要 Unlocks level 4 Signs Cleansing RItual パワースポットでポーション毒を解毒できるようになります Silver Talentが必要 Ingredient Extraction Increases chance of extracting ingredients from both herb plants and defeated foes Silver Talentが必要 Bomb Preparation 爆弾の作成が可能になります Silver Talentが必要 Tier4 スキル 効果 その他 Intelligence (Level 4) Base Sign Intensity +20% Silver Talentが必要 Unlocks level 5 Signs Focus Sign duration +25% Silver Talentが必要 Life Ritual Enables performance of Life Ritual in Places of Power Silver Talentが必要 Magic Frenzy Sign Intensity +25% Silver Talentが必要 Geraltの体力が25%以下の時に効果を発揮 Tier5 スキル 効果 その他 Intelligence (Level 5) Base Sign Intensity +40% Gold Talentが必要 Mental Endurance Endurance consumed when casting Sings -25% Gold Talentが必要 Intensity Sign Intensity +20% Gold Talentが必要
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World Intelligence Groups World Intelligence GroupsJapan UK・USA・NZ・AUS・CAN USA UK Germany France Israel Russia Japan CIRO：Cabinet Ingelligence and Resarch Office／内閣情報調査室 DIH：Defence Intelligence Headquarters／防衛省情報本部 IAS：Intelligence and Analysis Service／外務省国際情報統括官組織 PSIA：Public Security Intelligence Agency／公安調査庁 FAID：Foreign Affairs and Intelligence Department／警察庁外事情報部 UK・USA・NZ・AUS・CAN Echelon：エシュロン USA CIA：Central Intelligence Agency／中央情報局 DIA：Defence Intelligence Agency／国防情報局 NSA：National Security Agency／国家安全保障局 NRO：National Recconnaissance Office／国家偵察局 FBI：Federal Bureau of Investigation／連邦捜査局 UK SIS（MI6）：Secret Intelligence Service／秘密情報局 SS（MI5）：Security Service／国家保安局 GCHQ：Goverment Communications Headquarters／政府通信本部 Germany BND：Bundesnachrichterndienst／連邦情報局 BfV：Bundesamt fur Verfassungsschutz／連邦保安局 France DGSE：／対外保安総管理局 GDN：／国防総事務局 DST：／国土監視局 Israel MOSSAD：ha-Mossad le-Modiin ule-Tafkidim Meyuhadim／モサド Russia SVR：Sluzhba Vneshney Razvedki／対外情報局 FSB：Federal naya Sluzhba Bezoopasnasti／連邦保安局
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Market Scenario The Open-Source Intelligence Market Size Of USD 10.65 Billion Value includes a With analysis and industry CAGR 25.98% forecasts for the period 2023–2032. Open-Source Intelligence report’s segmentation section focuses on each category while also identifying those with the greatest influence on the Open-Source Intelligence Market. The framework for finding Key companies and assessing their Geographical Research, product portfolios, and ability for Business growth. In order to forecast the extent of competition, the second one step analyzing the core competencies and market shares of leading companies. Get a Sample PDF File@ https //www.quincemarketinsights.com/request-sample-69589?pu Competitive Analysis In terms of comparative analysis, the global market research report contains information related to the leading market players and their roles played across the global market to win the race against the other market leaders . Global Open-Source Intelligence Market Segmentation Global Open-Source Intelligence market is segmented on the basis of Technology type application distribution channel and user and vertical industry by offering in-depth information along with geography. By Source (Media, Internet, Public Government Data, Professional Academic Publications, Commercial, and Others), By Technique (Text Analytics, Video Analytics, Social Media Analytics, Geospatial Analytics, Security Analytics, and Others), and By End User (Government Intelligence Agencies, Military Defense Intelligence Agencies, Cyber Security Organizations, Law Enforcement Agencies, Financial Services, Private Specialized Business, and Others) Geographical Analysis Of Global Open-Source Intelligence Market Regional analysis is also one of the most important features of the research report of the market. The experts have provided in-depth information related to the geography of the global Open-Source Intelligence market. The research report provides information related to the sales output of the demand for global Open-Source Intelligence both at international as well as the national levels various region. Apart from this it also provides a comprehensive as well as accurate geography-wise market analysis of the market volume and the historical data. Geographical landscape that are included in the global Open-Source Intelligence market research report are Europe, Asia Pacific, North America, Africa, South America, and Middle East Make an Enquiry for purchasing this Report @ https //www.quincemarketinsights.com/enquiry-before-buying/enquiry-before-buying-69589?pu Key Outlook This report will help market leaders / new entrants in this market to get information about the most recent results of their revenue figures for the overall Open-Source Intelligence Market and segments. This report will help operators understand the competitive landscape and get more information to better manage their business and plan an appropriate marketing strategy. The report also helps stakeholders understand the market landscape and provides them with insights into key market challenges and opportunities. Alfresco Software Inc., Digital Clues, Expert Systems S.p.A, Google LLC, Maltego Technologies GmbH, OffSec Service Limited, Octogence Technologies Pvt. Ltd., Palantir Technologies Inc., Recorded Future, Inc., and Thales Group. Details Contained In The Global Open-Source Intelligence Market Report 2021 Market Overview 1.1 Market Introduction 1.2 Market Analysis By Type 1.2.1 Type 1 1.2.2 Type 2 1.3 Market Analysis By Applications 1.3.1 Application 1 1.3.2 Application 2 1.4 Market Analysis by Regions Key Questions Covered In The Market Research Report What will be the growth rate of the Open-Source Intelligence market? What are the important factors that drive the market share of the global Open-Source Intelligence market? What are the key factors dividing the market size of the Global Open-Source Intelligence market? Who are the top manufacturers in the Open-Source Intelligence market? What are the major market opportunities, challenges, and threats faced by the Open-Source Intelligence market? Who are the leading distributors, traders, and dealers of the Open-Source Intelligence market? What are the sales, price, and revenue analyses of the top manufacturers of the Open-Source Intelligence market? What is the impact of covid-19 on the Global Open-Source Intelligence market? How the market has been segmented in this market research report? About Us QMI has the most comprehensive collection of market research products and services available on the web. We deliver reports from virtually all major publications and refresh our list regularly to provide you with immediate online access to the world’s most extensive and up-to-date archive of professional insights into global markets, companies, goods, and patterns. Contact us Quince Market Insights Phone +1 208 405 2835 Email sales@quincemarketinsights.com Website https //www.quincemarketinsights.com/
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KIRIN おつまみ道場 ＞ http //www.kirin.co.jp/about/g_r/otsumami/ シブヤ経済新聞 All About RSSナビ 人力検索サイトはてな intelligence seriesintelligence health intelligence life intelligence IT KIRIN おつまみ道場 ＞ http //www.kirin.co.jp/about/g_r/otsumami/ RSS Feedを見る シブヤ経済新聞 RSS Feedを見る All About RSS Feedを見る RSSナビ RSS Feedを見る 人力検索サイトはてな RSS Feedを見る intelligence series intelligence health intelligence life intelligence IT
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Market Scenario The Open-Source Intelligence Market Size Of USD 10.65 Billion Value includes a With analysis and industry CAGR 25.98% forecasts for the period 2023–2032. Open-Source Intelligence report’s segmentation section focuses on each category while also identifying those with the greatest influence on the Open-Source Intelligence Market. The framework for finding Key companies and assessing their Geographical Research, product portfolios, and ability for Business growth. In order to forecast the extent of competition, the second one step analyzing the core competencies and market shares of leading companies. Get a Sample PDF File@ https //www.quincemarketinsights.com/request-sample-69589?pu Competitive Analysis In terms of comparative analysis, the global market research report contains information related to the leading market players and their roles played across the global market to win the race against the other market leaders . Global Open-Source Intelligence Market Segmentation Global Open-Source Intelligence market is segmented on the basis of Technology type application distribution channel and user and vertical industry by offering in-depth information along with geography. By Source (Media, Internet, Public Government Data, Professional Academic Publications, Commercial, and Others), By Technique (Text Analytics, Video Analytics, Social Media Analytics, Geospatial Analytics, Security Analytics, and Others), and By End User (Government Intelligence Agencies, Military Defense Intelligence Agencies, Cyber Security Organizations, Law Enforcement Agencies, Financial Services, Private Specialized Business, and Others) Geographical Analysis Of Global Open-Source Intelligence Market Regional analysis is also one of the most important features of the research report of the market. The experts have provided in-depth information related to the geography of the global Open-Source Intelligence market. The research report provides information related to the sales output of the demand for global Open-Source Intelligence both at international as well as the national levels various region. Apart from this it also provides a comprehensive as well as accurate geography-wise market analysis of the market volume and the historical data. Geographical landscape that are included in the global Open-Source Intelligence market research report are Europe, Asia Pacific, North America, Africa, South America, and Middle East Make an Enquiry for purchasing this Report @ https //www.quincemarketinsights.com/enquiry-before-buying/enquiry-before-buying-69589?pu Key Outlook This report will help market leaders / new entrants in this market to get information about the most recent results of their revenue figures for the overall Open-Source Intelligence Market and segments. This report will help operators understand the competitive landscape and get more information to better manage their business and plan an appropriate marketing strategy. The report also helps stakeholders understand the market landscape and provides them with insights into key market challenges and opportunities. Alfresco Software Inc., Digital Clues, Expert Systems S.p.A, Google LLC, Maltego Technologies GmbH, OffSec Service Limited, Octogence Technologies Pvt. Ltd., Palantir Technologies Inc., Recorded Future, Inc., and Thales Group. Details Contained In The Global Open-Source Intelligence Market Report 2021 Market Overview 1.1 Market Introduction 1.2 Market Analysis By Type 1.2.1 Type 1 1.2.2 Type 2 1.3 Market Analysis By Applications 1.3.1 Application 1 1.3.2 Application 2 1.4 Market Analysis by Regions Key Questions Covered In The Market Research Report What will be the growth rate of the Open-Source Intelligence market? What are the important factors that drive the market share of the global Open-Source Intelligence market? What are the key factors dividing the market size of the Global Open-Source Intelligence market? Who are the top manufacturers in the Open-Source Intelligence market? What are the major market opportunities, challenges, and threats faced by the Open-Source Intelligence market? Who are the leading distributors, traders, and dealers of the Open-Source Intelligence market? What are the sales, price, and revenue analyses of the top manufacturers of the Open-Source Intelligence market? What is the impact of covid-19 on the Global Open-Source Intelligence market? How the market has been segmented in this market research report? About Us QMI has the most comprehensive collection of market research products and services available on the web. We deliver reports from virtually all major publications and refresh our list regularly to provide you with immediate online access to the world’s most extensive and up-to-date archive of professional insights into global markets, companies, goods, and patterns. Contact us Quince Market Insights Phone +1 208 405 2835 Email sales@quincemarketinsights.com Website https //www.quincemarketinsights.com/
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Evaluating Intelligence（評価） Evaluating Intelligence（評価）概要 効果 解説魔法攻撃のダメージへの影響 素手の戦闘における防御 INTの鑑定 スキル上げ スキル振り 関連スキル・関連装備 スキル＋装備 コメント 概要 Mageryの魔法の威力を上げるPassiveスキル 素手時の回避率判定 対象のINTを鑑定・評価 スキル略称 EI、評価、知性評価 スキル称号 Scholar プライマリステータス INT セカンダリステータス STR スキル使用 スキルウィンドウから直接、あるいはマクロに登録して使用 訓練可能者 City Mage , Gambler , Judge , Mage Guildmaster , Mage Shopkeeper , Magincia Councilmember , Mayor , Monk , Scribe , Wandering Mage スキル習得コマンド evaluate , evaluating , intelligence スキル上げ難度 ★ スキル上げ費用 ★ 効果 名称 100%詠唱成功値＆消費マナ スキル遅延 概要 一部のMageryスペル強化(Passive) - 属性攻撃魔法の威力を増幅（Magic Arrow、Harm、Fireball、Fire Field、Lightning、Energy Bolt、Explosion、Chain Lightning、Flame Strike、Meteor Swarm、Earthquake）ブレス、クラムジーなどのバフ・デバフ魔法の効果時間と威力 素手時の回避率判定(Passive) - - 素手時、(EI+Anatomy)/2の値で打撃攻撃の回避判定ができる 知性を評価する - 1秒 スキルを使用した相手のInt値を知る事ができるスキル値76以上でマナ残量を知る事ができます 解説 魔法攻撃のダメージへの影響 魔法攻撃によるダメージの計算に使用されます。魔法を詠唱すると、サークル、Magery [魔法]スキルなどいくつかの要素が同時にチェックされて基本のダメージが計算されます（これをベースダメージと呼びます）。次に、このベースダメージは術者の評価スキルによって調整されます。この計算式は以下のようになります。 調整後のダメージ値 = ベースダメージ × ( 30 + ( 9 × 評価スキル ÷ 10 ) ) ÷ 100 もし評価スキルが0ならば、ベースダメージの70%が差し引かれます。評価スキルが50の場合は25%が差し引かれます。評価スキルがおよそ 78くらいで評価スキルによる調整の影響はなくなり、評価スキルがそれよりも高くなるほどボーナスが加えられます。評価スキルが100の場合は20%、120の場合は38%のボーナスを得ることになります。 実際には、さらにターゲットの耐性スキルなどの様々な判定を経て与えるダメージは決定されますが、一般的に評価スキルが高いほど魔法攻撃をする場合に有利になるといえるでしょう。魔法の杖の魔法を使う場合も、評価スキルが高いほど、杖を使ったときの効果も高くなります。 Spellweaving[織成呪文]スキルの呪文には影響を及ぼしません。 評価スキルのもう一つの側面として、 Anatomy [解剖学]スキルと共に、呪文詠唱が中断されるのを防ぐ手助けをするということがあります。解剖学と評価は平均化されて Wrestling [格闘]スキルと同じような形式で詠唱中断を防ぐ能力値を決定するために使われます。 素手の戦闘における防御 このスキルは、素手で戦闘を行う場合に、防御に役立つ場合があります。攻撃を受けた場合、防御側には様々な要素を用いて判定が行われますが、その要素の一つに「装備している武器の武器スキル」があります。 もし、防御側が武器を用いていなかった場合、この「武器スキル」は以下のうち、いずれか高い方の値が用いられます。 Wrestling [格闘]スキル (Anatomy [解剖学] ＋ Evaluating INT [評価] ＋20)÷2 + 上記計算式に関わる検証 2024年4月TC1にて実施 種族エルフ マジック効果無し 攻撃側スキル弓術120 試行回数各6000回 防御側スキル 命中回数 命中率 格闘120 2944回 49.1% 評価120解剖120 2983回 49.7% 格闘110 3187回 53.1% 評価120解剖100 3157回 52.6% 種族エルフ マジック効果無し 攻撃側スキル弓術100 試行回数各2000回 防御側スキル 命中回数 命中率 格闘40 1878回 93.9% 評価80 1888回 94.4% 格闘50 1678回 83.9% 評価80解剖20 1669回 83.5% これらの結果から考えると、計算式にある「+20」は実際には計算されていない。 INTの鑑定 このスキルにより他のプレーヤーの知性（INT）を評価することが出来ます。スキルウィンドウで選択後、ターゲットをクリックすると相手の知性に関する評価が表示されます。スキルが高くなるほど、より正確な評価を行うことが出来ます。 知性（INT) コメント 1-9 石ころよりも頭が悪そうです。 10-19 見るからに頭が悪そうです。 20-29 あまり賢そうには見えません。 30-39 標準的な頭脳の持ち主です。 40-49 ちょっと頭が良さそうです。 50-59 それは、なかなか頭が切れそうです。 60-69 かなり頭が良さそうです。 70-79 ものすごく頭が良さそうです。 80-89 人並み外れた知能の持ち主です。 90-99 まさに天才です。 100+ 計り知れない知能の持ち主です。 スキル上げ 魔法スキルの2次スキルとして魔法を使っていれば自然に上がります。 リアクティブアーマー詠唱を繰り返す。CRが少なく詠唱待機遅延が多い場合は手近のNPCにスキル使用を組み合わせる。 スキル振り 入れることが出来る数値で。 関連スキル・関連装備 Magery Anatomy スキル＋装備 Library Talisman - Talking to Wisps Mark of Travesty Wizard s Curio コメント Wizard's Curioが乗ってないですね。 - Wizard's Curio (2022-11-19 01 27 59) Wizard's Curioも含まれるようにしました。 - 名無しさん (2022-12-08 18 00 58) 名前 スキルに戻る
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Intelligence(IQ) ⇒知力
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Intelligence analysts should be self-conscious about their reasoning processes. They should think about how they make judgments and reach conclusions, not just about the judgments and conclusions themselves. "Richards Heuer, The Psychology of Intelligence Analysis" 諜報分析官は、自らの論理的思考プロセスを注意深く観察しなければならない。結論そのものよりも、「どうやってその結論に至ったか」のほうが重要なのである。（"Richards Heuer, The Psychology of Intelligence Analysis" より引用） THE “MIND-SET” CHALLENGE Using the analytic techniques contained in this primer will assist analysts in dealing with the perennial problems of intelligence the complexity of international developments, incomplete and ambiguous information, and the inherent limitations of the human mind. Understanding the intentions and capabilities of adversaries and other foreign actors is challenging, especially when either or both are concealed. Moreover, transnational threats today pose even greater complexity, in that they involve multiple actors -- including nonstate entities -- that can adapt and transform themselves faster than those who seek to monitor and contain them. Finally, globalization has increased the diversity of outcomes when complex, interactive systems such as financial flows, regional economies or the international system as a whole are in flux. 自国や他国の発展、不完全で曖昧な情報、人間本来の持つ精神的な限界。諜報の世界でこれらが日常的に引き起こす問題を分析するために、本書の分析技術を利用することができる。 敵国やそうでない国の諜報官の意図や手腕を計ることは、非常に難しい。特に彼らがそれを隠しているとき、その作業は困難を極める。 さらに、こんにちの国際的脅威は、あまりにも複雑な様相を呈する。複数国家の諜報官や、政府組織に属さない者まで巻き込み、我々がその変化を捉えるよりも早いスピードで、自らを変容させ続ける。 すなわち、「グローバリゼーション」によって世界中の金融フローや地域経済、国際組織全体が絶え間ない相互変化を起こし続け、その結果、物事の多様性は増大することとなったのだ。 The first hurdle for analysts is identifying the relevant and diagnostic information from the increasing volume of ambiguous and contradictory data that is acquired through open source and clandestine means. Analysts must also pierce the shroud of secrecy -- and sometimes deception -- that state and nonstate actors use to mislead. A systematic approach that considers a range of alternative explanations and outcomes offers one way to ensure that analysts do not dismiss potentially relevant hypotheses and supporting information resulting in missed opportunities to warn. 分析を行う上で最初の難関は、膨大なデータの中から目的に合致した情報を見抜くことだ。そのデータは常に増え続けており、かつ、曖昧で自己矛盾を含む。その上、無償で公開されているものもあれば、意図的に隠蔽されているもの存在する。 諜報分析を行うということは、我々や他者を欺くために仕掛けられた秘密や策略を突破することでもある。 うまく体系立てられたアプローチというものは、複数の選択肢からそれぞれ異なる結果が導かれる可能性を考慮できるできるようになっている。本当は正しいかもしれない仮説や、それを支持する情報を見逃してしまえば、敵対者に対して持つべき警戒を解いてしまうことになるだろう。だが、適切なアプローチを以て事態に臨むことができれば、そういった危険から身を守ることができるのだ。 Cognitive and perceptual biases in human perception and judgment are another important reason for analysts to consider alternatives. As Richards Heuer and others have argued, all individuals assimilate and evaluate information through the medium of “mental models” (sometimes also called “frames” or “mind-sets”). These are experiencebased constructs of assumptions and expectations both about the world in general and more specific domains. These constructs strongly influence what information analysts will accept?that is, data that are in accordance with analysts’ unconscious mental models are more likely to be perceived and remembered than information that is at odds with them. 人間が物事を知覚したり理解したりするとき、認知バイアスは非常に大きな役割を果たす。分析官が複数の選択肢を選びとるときの基準にも、これが影響を及ぼす。 Richards Heuer らが指摘しているように、我々が情報を理解・評価するときは、我々自身の「常識」から逃れることはできない。（こうした認知バイアスのことを、「フレーム」や「マインドセット」と呼ぶこともある。） 認知バイアスとは、「常識とはこういうものだ」「この分野ではこうあってほしい」というような、我々の思い込みの産物である。 そして、これらが我々の情報の選び方に大きな影響を与える。すなわち、普段は意識していない我々の「常識」に合致する情報は、より選ばれやすく、記憶されやすい。そうでないものは見逃されやすいのだ。 Mental models are critical to allowing individuals to process what otherwise would be an incomprehensible volume of information. Yet, they can cause analysts to overlook, reject, or forget important incoming or missing information that is not in accord with their assumptions and expectations. Seasoned analysts may be more susceptible to these mind-set problems as a result of their expertise and past success in using time-tested mental models. The key risks of mindsets are that analysts perceive what they expect to perceive; once formed, they are resistant to change; new information is assimilated, sometimes erroneously, into existing mental models; and conflicting information is often dismissed or ignored. 1 Richards J. Heuer, Jr., The Psychology of Intelligence Analysis (Washington Center for the Study of Intelligence, 1999). 2 These observations were drawn from a lengthier treatment of cognitive bias found in the Sherman Kent Center’s Occasional Paper, Making Sense of Transnational Threats, Vol. 3, No. 1, October 2004.